High-resolution remote sensing image geographic information acquisition system and method

Abstract

The invention discloses a high-resolution remote sensing image geographic information acquisition system and method, and relates to the technical field of information acquisition, and the system comprises an acquisition early warning end, an identification extraction end and a correction end. The acquisition early warning end is used for setting a geographic information acquisition area range of a remote sensing satellite, setting standard geographic information parameters and judging whether the information is abnormal or not in real time according to the latest geographic information; the recognition extraction end is used for collecting ground feature information and multiple features of a target object in real time and dividing the features into effective information and invalid information in real time according to details of the multiple features; and the correction end is used for receiving the real-time state of the geographic information in real time and correcting the deviation of the remote sensing image in time through correction compensation. According to the high-resolution remote sensing image geographic information acquisition system and method, newest geographic information and disaster monitoring conditions can be acquired in time, whether geographic information acquisition is affected or not is judged according to the approximate contour, and correction can be performed in time when deviation occurs in the remote sensing image.

Description

Technical Field

[0001] The present invention relates to the technical field of information collection, and in particular to a high-resolution remote sensing image geographic information collection system and method. Background Art

[0002] High-resolution remote sensing imagery geographic information acquisition is the process of extracting, processing, and analyzing geographic spatial information using a series of technical means using remote sensing images acquired by high-resolution satellites or aerial platforms. Satellite platforms, such as the Gaofen series of satellites, are used to acquire large-area high-resolution images. For key areas or specific projects, aerial photography can be used to obtain even higher-resolution images.

[0003] China Publication No. CN118470280A discloses a high-resolution remote sensing imagery geographic information acquisition system and acquisition method. The acquisition system includes a high-resolution remote sensing camera module, a real-time data processing module, an information integration module, an anomaly detection module, and a simulation module. The information integration module integrates geographic information from multiple departments, breaking down information silos and enabling information sharing and interaction. The anomaly detection module automatically identifies and annotates anomalies or changed areas in the imagery, providing data support for timely response. This invention achieves precise acquisition, real-time processing, and anomaly detection of high-resolution remote sensing images, improving the accuracy and practicality of geographic information.

[0004] After searching the above patents, it was found that there are still some deficiencies in the collection of geographic information from high-resolution remote sensing images: 1. Due to the long revisit period of high-resolution remote sensing satellites, it is impossible to obtain the latest geographic information in a timely manner, which makes it difficult to meet application scenarios with high real-time requirements, and it is impossible to predict disaster monitoring or emergency response in advance based on the latest geographic information, resulting in limitations in the collection of geographic information; 2. Due to the complexity of ground object information and the increase in detailed features of target objects, it becomes more difficult for the system to accurately extract useful information from massive data, and it is impossible to accurately identify and judge what the target is, affecting the accuracy of geographic information collection; 3. In order to obtain high-quality geographic information, the original remote sensing image needs to be pre-processed for radiation correction, geometric correction and atmospheric correction. However, in actual processing, it is impossible to detect in real time whether the remote sensing image has deviations, and it is impossible to correct the deviations in time when the remote sensing image has deviations, which further affects the accuracy of geographic information.

[0005] Therefore, a high-resolution remote sensing image geographic information acquisition system and method are proposed to solve the above problems. Summary of the Invention

[0006] The main purpose of the present invention is to provide a high-resolution remote sensing image geographic information acquisition system and method to solve the problems raised in the above background.

[0007] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a high-resolution remote sensing image geographic information acquisition system and method, including an acquisition and warning end, an identification and extraction end, and a correction and rectification end;

[0008] The collection and warning terminal is used to set the geographical information collection area range of the remote sensing satellite, and collect the latest geographical information in the corresponding area in real time through the high-resolution remote sensing satellite, set standard geographical information parameters, and judge whether the information is abnormal in real time based on the latest geographical information. According to the judgment result, it is predicted in advance whether the geographical location within the corresponding area has disaster monitoring abnormalities, so that the system can judge whether the geographical information is abnormal in a timely manner and issue an emergency response decision plan based on the abnormal results;

[0009] The identification and extraction end is used to collect multiple features of ground feature information and target objects in real time, and classify them into valid information and invalid information in real time based on the details of the multiple features. The valid information is promptly identified and determined to be the target in the valid information, and the approximate outline of the target object is determined. Based on the approximate outline, it is determined whether it affects the geographic information collection, and the real-time status of the geographic information collection is obtained.

[0010] The correction and deflection correction end is used to receive the real-time status of geographic information in real time, and perform pre-processing operations of radiation correction, geometric correction and atmospheric correction on the original remote sensing image in real time, and can correct the remote sensing image in time when deviation occurs through correction compensation.

[0011] The collection and warning terminal includes a region setting module, a disaster prediction module and a response decision module;

[0012] The area setting module includes an area setting unit, an information collection unit and a standard information unit;

[0013] The area setting unit is used to set the area range for collecting geographical information of remote sensing images, and the area range is adjustable through the controller;

[0014] The information collection unit is used to collect the latest geographical information within the corresponding area in real time through a data collector, and record statistics in real time through a data recorder. The latest geographical information includes geographical environment parameters, geographical location parameters, geographical disaster conditions and information channel parameters;

[0015] The standard information unit is used to set standard geographic information, which includes geographic environment parameters, geographic location parameters, geographic disaster conditions and information channel parameters within the corresponding area.

[0016] The disaster prediction module includes a disaster judgment unit and an information prediction unit;

[0017] The disaster judgment unit is used to monitor whether disaster anomalies occur in the corresponding area in real time based on the latest geographical information at the current moment. The specific method is as follows:

[0018] Step 1: Set the environmental standard parameters of the geographic information within the corresponding area, and use earthquake monitoring equipment, landslide monitoring equipment, debris flow monitoring equipment, ground subsidence monitoring equipment, volcanic eruption monitoring equipment, temperature sensors, humidity sensors, and light sensors to detect the actual environmental parameters of the latest geographic information within the corresponding area at the current moment in real time;

[0019] Step 2: Calculate the difference between the actual environmental parameters of the latest geographic information corresponding to the current time and the environmental standard parameters of the geographic information within the corresponding area. If the difference is equal to ±0.2, it is determined that the environmental parameters are approaching a safe value. If the difference is greater than 0.2 or less than -0.2, it is determined that the actual environmental parameters of the latest geographic information corresponding to the current time exceed the safe value, indicating that the latest geographic information corresponding to the current time has a disaster anomaly.

[0020] The information prediction unit is used to predict in real time whether disaster anomalies will occur in the geographical information within the corresponding area of the next period based on the disaster anomaly. The prediction method is as follows:

[0021] Step I: Count one day as one cycle, and predict the environmental parameters of the corresponding area in the next cycle based on the actual environmental parameters of the latest geographical information of the corresponding area in three cycles;

[0022] Step II: If the average values of the actual environmental parameters of the latest geographic information in the corresponding area of the three cycles all exceed the environmental standard parameters, it means that disaster anomalies will occur in the geographic information in the corresponding area of the next cycle.

[0023] The response decision module includes an abnormality receiving unit, an abnormality early warning unit and a response decision unit;

[0024] The abnormality receiving unit is used to receive the geographical information judgment result and prediction result within the corresponding area in real time through the data receiver;

[0025] The abnormal warning unit is used to report the abnormal result or the abnormal prediction result to the system to issue a disaster warning reminder;

[0026] The response decision unit is used to automatically generate a disaster prevention response decision plan based on the disaster warning reminder, and the disaster prevention response decision plan is formulated based on historical disaster prevention strategies.

[0027] The recognition and extraction end includes a detail capture module, an information receiving module and a contour judgment module;

[0028] The detail capture module includes a detail extraction unit and an extraction and division unit;

[0029] The detail extraction unit is used to collect the ground object information and multiple features of the target object in the corresponding area in real time through the data sensor, the multiple features including spectral features, spatial features, texture features, shape features and time features, the spatial features including the position, shape and size of the ground object, and the shape features including circle, square, rectangle and ellipse;

[0030] The extraction and division unit is used to extract effective information within the corresponding area based on multiple features in real time according to the corner detection algorithm. The effective information includes spectrum, space, texture and shape. The extraction method is as follows:

[0031] Set the standard parameters of the multi-feature image, collect multiple features in real time through remote sensing images and automatically generate images, and calculate the autocorrelation matrix M of the neighborhood around each pixel in the image. The calculation formula is as follows:

[0032]

[0033] Among them, I x and I y are the gradients of the image in the x and y directions respectively, w(i,j) is the window function, which is generally a Gaussian function;

[0034] Calculate the eigenvalues λ1 and λ2 of the autocorrelation matrix M using the following formula:

[0035] R=det(M)-k×trace(M) 2 ;

[0036] Among them, R represents the response function value, k is an empirical constant, usually 0.04-0.06. When the calculated R is greater than the set standard parameter, the point is automatically defined as valid information and recorded in real time by the data recorder.

[0037] The information receiving module includes an information judgment unit and an effective positioning unit;

[0038] The information judgment unit is used to automatically judge the data after extracting valid information from multiple features as invalid information, and record it in real time through a data recorder;

[0039] The effective positioning unit is used to automatically locate the real-time position of the effective information according to the GPS positioning system.

[0040] The contour judgment module includes a contour judgment unit and a contour early warning unit;

[0041] The contour judgment unit is used to judge the approximate contours of multiple features in the process of remote sensing image geographic information acquisition in real time. The judgment method is as follows:

[0042] According to historical data, the standard contour parameters of the geographic information image within the corresponding area are set. According to the contour initial point, the equidistant feature points of the contour movement and the currently tracked contour feature points collected from the high-resolution remote sensing image within the corresponding area, the average displacement of the feature points of the contour movement trajectory is calculated. Then, the approximate contour of the current multi-feature is calculated based on the movement of similar points. The average displacement of the feature points of the contour movement trajectory D is t The calculation equation is as follows:

[0043]

[0044] Among them, f x,y-1 represents the feature points in the geographic information collection area within the corresponding area of the remote sensing image at time t-1, f x,y represents the feature points of the geographic information collection area within the corresponding area of the remote sensing image detected at time t, and M represents the serial number of the feature points of the geographic information collection area tracked at time t;

[0045] By moving the pixel point on the known image at time t-1 by D t , we can obtain the approximate outlines of multiple features in the remote sensing image geographic information picture at time t;

[0046] The contour warning unit is used to automatically match the standard contour parameters of the geographic information picture within the corresponding area based on the approximate contours of multiple features in the remote sensing image geographic information picture. If the approximate contours of multiple features in the remote sensing image geographic information picture are used for the standard contour parameters of the geographic information picture within the corresponding area for difference calculation, if the difference calculation result is equal to 0, it means that the approximate contour is determined, and the reporting system issues a voice alarm. If the difference calculation result is not equal to 0, different standard contour parameters are replaced for secondary calculation until the difference result is equal to 0, and then the calculation stops.

[0047] The abnormality correction end includes a data receiving module, a correction processing module, an error recording module and a correction compensation module;

[0048] The data receiving module is used to receive the real-time status of geographic information within the corresponding area through a data receiver;

[0049] The correction processing module is used to perform real-time calculations of radiation correction, geometric correction, and atmospheric correction on remote sensing images. The calculation formula is as follows:

[0050] Radiation correction:

[0051] Among them, L is the corrected radiance value within the corresponding area, DN is the pixel value of the remote sensing image within the corresponding area, a and B are the corresponding gain and bias values of the sensor respectively;

[0052] Geometric correction:

[0053] x′=a0+a1x+a2y;

[0054] y′=b0+b1x+b2y;

[0055] Where (x, y) represents the image coordinates of the original remote sensing image, (x′, y′) is the image coordinates of the corrected remote sensing image, and a0, a1, a2, b0, b1, and b2 are conversion coefficients;

[0056] Atmospheric correction:

[0057] Among them, L in this atmospheric correction represents the surface reflectivity after atmospheric correction in the corresponding area, y represents the radiation brightness received by the sensor, x is the atmospheric radiation, x0 and y0 are the three input parameters of the atmospheric correction lookup table, namely, the incident radiation at the upper boundary of the atmosphere, the solar zenith angle and the reflectivity of the ground object, ρ is the apparent reflectivity of the top of the atmosphere of the ground object in the corresponding area, l is the irradiance of the pixel on the satellite in the corresponding area, d is the astronomical unit distance between the sun and the earth in the corresponding area, which is generally 1, E0 is the solar irradiance in the corresponding area, and each band corresponds to a different E0, and θ is the solar zenith angle in the corresponding area.

[0058] The error recording module is used to record errors in real time through a data recorder based on the real-time calculation results of radiation correction, geometric correction and atmospheric correction of the remote sensing image;

[0059] The correction and compensation module includes a correction and compensation unit and a compensation tracking unit;

[0060] The correction and compensation unit is used to perform data correction and compensation in real time according to the error recording result, and the data correction and compensation are adjusted in real time according to the error recording result;

[0061] The compensation tracking unit is used to track the remote sensing image after compensation adjustment in real time through a data tracker, and perform difference calculation on the remote sensing image after compensation adjustment and the remote sensing image before compensation adjustment. If the difference calculation result is equal to 0, it means that the data correction compensation is invalid, and the reporting system issues a voice alarm. If the difference calculation result is not equal to 0, it means that the data correction compensation is valid.

[0062] A method for collecting geographic information from high-resolution remote sensing images comprises the following steps:

[0063] Step 1: Configure the IP address information of the remote sensing image remote control area server;

[0064] Step 2: Enter the data collection and early warning terminal, collect the latest geographic information in real time through high-resolution remote sensing satellites, and predict disaster monitoring anomalies in advance based on the latest geographic information. In a timely manner, determine whether the geographic information is abnormal. If abnormal, the reporting system will issue a voice alarm and issue an emergency response decision plan based on the abnormal results.

[0065] Step 3: Enter the recognition and extraction end, collect ground feature information and multiple features of the target object in real time, extract valid and invalid information in real time based on the details of the multiple features, and promptly identify and determine the target based on the valid information, and determine the approximate outline;

[0066] Step 4: Enter the correction and deflection correction end, receive the real-time status of geographic information in real time, and perform pre-processing operations of radiation correction, geometric correction and atmospheric correction on the original remote sensing image in real time, detect whether there is any deviation in the remote sensing image in real time, and make timely corrections when deviation occurs in the remote sensing image.

[0067] The present invention has the following beneficial effects:

[0068] 1. In the present invention, by setting up a collection and early warning terminal, when performing high-resolution remote sensing image geographic information collection, the latest geographic information within the corresponding area is collected in real time, and based on the judgment results, it is predicted in advance whether there are disaster monitoring anomalies in the geographical location within the corresponding area, so that the system can promptly judge whether the geographic information is abnormal, and issue an emergency response decision plan based on the abnormal results, which meets the use of application scenarios with high real-time requirements, and can reduce the limitations of geographic information collection by predicting disaster monitoring or emergency response in advance based on the latest geographic information.

[0069] 2. In the present invention, by setting up an identification and extraction end, when performing high-resolution remote sensing image geographic information collection, it is divided into valid information and invalid information in real time according to the details of multiple features, and the target in the valid information is timely identified and judged. It is also judged whether it affects the geographic information collection based on the approximate contour, and the real-time status of geographic information collection is obtained. It also issues a geographic information anomaly warning in a timely manner to improve the accuracy of geographic information collection.

[0070] 3. In the present invention, by setting a correction and deflection correction end, when performing high-resolution remote sensing image geographic information collection, by performing real-time pre-processing operations of radiation correction, geometric correction and atmospheric correction on the original remote sensing image, it is possible to detect in real time whether there is a deviation in the remote sensing image, and in actual processing, not only can it be detected in real time whether there is a deviation in the remote sensing image, but it can also be corrected in time when a deviation occurs in the remote sensing image, thereby further increasing the accuracy of geographic information collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1A schematic diagram of the process architecture of a method for collecting geographic information from high-resolution remote sensing images according to the present invention;

[0072] Figure 2 This is a schematic diagram of the architecture of a collection and warning terminal of a high-resolution remote sensing image geographic information collection system of the present invention;

[0073] Figure 3 This is a schematic diagram of the architecture of the recognition and extraction end of a high-resolution remote sensing image geographic information acquisition system of the present invention;

[0074] Figure 4 The present invention provides a schematic diagram of the structure of a correction and deflection correction end of a high-resolution remote sensing image geographic information acquisition system. DETAILED DESCRIPTION

[0075] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0076] Example 1

[0077] Please refer to Figures 1 to 2 As shown: A high-resolution remote sensing image geographic information acquisition system and method, including an acquisition and warning end, an identification and extraction end, and a correction and rectification end;

[0078] The collection and warning terminal is used to set the geographical information collection area of the remote sensing satellite, and collect the latest geographical information in the corresponding area in real time through high-resolution remote sensing satellites, set standard geographical information parameters, and judge whether the information is abnormal in real time based on the latest geographical information. Based on the judgment results, it is predicted in advance whether the geographical location within the corresponding area has disaster monitoring abnormalities, so that the system can promptly judge whether the geographical information is abnormal and issue emergency response decision plans based on the abnormal results;

[0079] The recognition and extraction end is used to collect multiple features of ground object information and target objects in real time, and classify them into valid information and invalid information in real time based on the details of the multiple features. It promptly identifies and determines the target in the valid information, determines the approximate outline of the target object, and determines whether it affects the geographic information collection based on the approximate outline, thereby obtaining the real-time status of geographic information collection;

[0080] The correction and deflection correction end is used to receive the real-time status of geographic information and perform pre-processing operations such as radiation correction, geometric correction and atmospheric correction on the original remote sensing image in real time. It can also make timely corrections when deviations occur in the remote sensing image through correction compensation.

[0081] The collection and warning end includes a regional setting module, a disaster prediction module, and a response decision module;

[0082] The area setting module includes an area setting unit, an information collection unit and a standard information unit;

[0083] The area setting unit is used to set the area range for collecting geographical information of remote sensing images, and the area range can be adjusted through the controller;

[0084] The information collection unit is used to collect the latest geographic information within the corresponding area in real time through a data collector, and record statistics in real time through a data recorder. The latest geographic information includes geographic environment parameters, geographic location parameters, geographic disaster conditions and information channel parameters;

[0085] The standard information unit is used to set standard geographic information. The standard geographic information includes geographic environment parameters, geographic location parameters, geographic disaster conditions and information channel parameters within the corresponding area. It judges whether the information is abnormal in real time based on the latest geographic information. Based on the judgment results, it predicts in advance whether there are disaster monitoring abnormalities in the geographic location within the corresponding area, so that the system can judge whether the geographic information is abnormal in a timely manner.

[0086] The disaster prediction module includes a disaster judgment unit and an information prediction unit;

[0087] The disaster judgment unit is used to monitor whether disaster anomalies occur in the corresponding area in real time based on the latest geographic information at the current moment. The specific method is as follows:

[0088] Step 1: Set the environmental standard parameters of the geographic information within the corresponding area, and use earthquake monitoring equipment, landslide monitoring equipment, debris flow monitoring equipment, ground subsidence monitoring equipment, volcanic eruption monitoring equipment, temperature sensors, humidity sensors, and light sensors to detect the actual environmental parameters of the latest geographic information within the corresponding area at the current moment in real time;

[0089] Step 2: Calculate the difference between the actual environmental parameters of the latest geographic information corresponding to the current time and the environmental standard parameters of the geographic information within the corresponding area. If the difference is equal to ±0.2, it is determined that the environmental parameters are approaching a safe value. If the difference is greater than 0.2 or less than -0.2, it is determined that the actual environmental parameters of the latest geographic information corresponding to the current time exceed the safe value, indicating that the latest geographic information corresponding to the current time has a disaster anomaly.

[0090] The information prediction unit is used to predict in real time whether disaster anomalies will occur in the geographical information within the corresponding area of the next period based on disaster anomalies. The prediction method is as follows:

[0091] Step I: Count one day as one cycle, and predict the environmental parameters of the corresponding area in the next cycle based on the actual environmental parameters of the latest geographical information of the corresponding area in three cycles;

[0092] Step II: If the average values of the actual environmental parameters of the latest geographic information in the corresponding area of the three cycles all exceed the environmental standard parameters, it means that disaster anomalies will occur in the geographic information in the corresponding area of the next cycle.

[0093] The response decision module includes an abnormality receiving unit, an abnormality warning unit and a response decision unit;

[0094] The abnormality receiving unit is used to receive the geographical information judgment results and prediction results within the corresponding area in real time through the data receiver;

[0095] The abnormal warning unit is used to report abnormal results or abnormal prediction results to the system to issue a disaster warning reminder;

[0096] The response decision unit is used to automatically generate disaster prevention response decision plans based on disaster warning reminders. The disaster prevention response decision plans are formulated based on historical disaster prevention strategies, and timely obtain the latest geographic information and disaster monitoring conditions to meet the application scenarios with high real-time requirements. It also predicts disaster monitoring or emergency response in advance based on the latest geographic information, which can reduce the limitations of geographic information collection.

[0097] Example 2

[0098] Please refer to Figure 3 As shown: Based on the first embodiment, the recognition and extraction end includes a detail capture module, an information receiving module and a contour judgment module;

[0099] The detail capture module includes a detail extraction unit and an extraction and division unit;

[0100] The detail extraction unit is used to collect the ground object information and multiple features of the target object in the corresponding area in real time through the data sensor. The multiple features include spectral features, spatial features, texture features, shape features and time features. The spatial features include the location, shape and size of the ground object, and the shape features include circle, square, rectangle and ellipse.

[0101] The extraction and division unit is used to extract valid information within the corresponding area based on multiple features in real time according to the corner detection algorithm. The valid information includes spectrum, space, texture and shape. The extraction method is as follows:

[0102] Set the standard parameters of the multi-feature image, collect multiple features in real time through remote sensing images and automatically generate images, and calculate the autocorrelation matrix M of the neighborhood around each pixel in the image. The calculation formula is as follows:

[0103]

[0104] Among them, I x and I yare the gradients of the image in the x and y directions respectively, w(i,j) is the window function, which is generally a Gaussian function;

[0105] Calculate the eigenvalues λ1 and λ2 of the autocorrelation matrix M using the following formula:

[0106] R=det(M)-k×trace(M) 2 ;

[0107] Among them, R represents the response function value, k is an empirical constant, usually 0.04-0.06. When the calculated R is greater than the set standard parameter, the point is automatically defined as valid information and recorded in real time by the data recorder.

[0108] The information receiving module includes an information judgment unit and an effective positioning unit;

[0109] The information judgment unit is used to automatically judge the data after extracting valid information from multiple features as invalid information, and record it in real time through a data recorder;

[0110] The effective positioning unit is used to automatically locate the real-time position of effective information according to the GPS positioning system.

[0111] The contour judgment module includes a contour judgment unit and a contour warning unit. It divides the details of multiple features into valid information and invalid information in real time, and promptly identifies and determines the target in the valid information.

[0112] The contour judgment unit is used to judge the approximate contours of multiple features in the process of remote sensing image geographic information acquisition in real time. The judgment method is as follows:

[0113] According to historical data, the standard contour parameters of the geographic information image within the corresponding area are set. According to the contour initial point, the equidistant feature points of the contour movement and the currently tracked contour feature points collected from the high-resolution remote sensing image within the corresponding area, the average displacement of the feature points of the contour movement trajectory is calculated. Then, the approximate contour of the current multi-feature is calculated based on the movement of similar points. The average displacement of the feature points of the contour movement trajectory D is t The calculation equation is as follows:

[0114]

[0115] Among them, f x,y-1 represents the feature points in the geographic information collection area within the corresponding area of the remote sensing image at time t-1, f x,y represents the feature points of the geographic information collection area within the corresponding area of the remote sensing image detected at time t, and M represents the serial number of the feature points of the geographic information collection area tracked at time t;

[0116] By moving the pixel point on the known image at time t-1 by Dt , we can obtain the approximate outlines of multiple features in the remote sensing image geographic information picture at time t;

[0117] The contour warning unit is used to automatically match the standard contour parameters of the geographic information picture within the corresponding area based on the approximate contours of multiple features in the remote sensing image geographic information picture. If the approximate contours of multiple features in the remote sensing image geographic information picture are used for the standard contour parameters of the geographic information picture within the corresponding area for difference calculation, if the difference calculation result is equal to 0, it means that the approximate contour is determined, and the reporting system issues a voice alarm. If the difference calculation result is not equal to 0, different standard contour parameters are replaced for secondary calculation until the difference result is equal to 0, then the calculation stops. The approximate contour of the target object can be judged in time, and whether it affects the geographic information collection can be judged based on the approximate contour. The real-time status of geographic information collection can be obtained, and geographic information anomaly warnings can be issued in time to improve the accuracy of geographic information collection.

[0118] Example 3

[0119] Please refer to Figure 4 As shown: Based on the first embodiment, the abnormality correction end includes a data receiving module, a correction processing module, an error recording module and a correction compensation module;

[0120] The data receiving module is used to receive the real-time status of geographic information within the corresponding area through a data receiver;

[0121] The correction processing module is used to perform real-time calculations of radiation correction, geometric correction, and atmospheric correction on remote sensing images. The calculation formula is as follows:

[0122] Radiation correction:

[0123] Among them, L is the corrected radiance value within the corresponding area, DN is the pixel value of the remote sensing image within the corresponding area, a and B are the corresponding gain and bias values of the sensor respectively;

[0124] Geometric correction:

[0125] x′=a0+a1x+a2y;

[0126] y′=b0+b1x+b2y;

[0127] Where (x, y) represents the image coordinates of the original remote sensing image, (x′, y′) is the image coordinates of the corrected remote sensing image, and a0, a1, a2, b0, b1, and b2 are conversion coefficients;

[0128] Atmospheric correction:

[0129] Among them, L in this atmospheric correction represents the surface reflectivity after atmospheric correction in the corresponding area, y represents the radiation brightness received by the sensor, x is the atmospheric radiation, x0 and y0 are the three input parameters of the atmospheric correction lookup table, namely, the incident radiation of the upper boundary of the atmosphere, the solar zenith angle and the reflectivity of the ground object, ρ is the apparent reflectivity of the top of the atmosphere of the ground object in the corresponding area, l is the irradiance of the pixel on the satellite in the corresponding area, d is the astronomical unit distance between the sun and the earth in the corresponding area, generally taking the value of 1, E0 is the solar irradiance in the corresponding area, and each band corresponds to a different E0. θ is the solar zenith angle in the corresponding area. By receiving the real-time status of geographic information and performing pre-processing operations of radiation correction, geometric correction and atmospheric correction on the original remote sensing image in real time, it is possible to detect whether there is a deviation in the remote sensing image in real time.

[0130] The error recording module is used to record the error in real time through the data recorder based on the real-time calculation results of the radiometric correction, geometric correction and atmospheric correction of the remote sensing image. If the real-time calculation result is equal to 0, it means that the remote sensing image is normal. If the real-time calculation result is not equal to 0, it means that the remote sensing image is abnormal and there is a deviation. The reporting system will issue a voice alarm and feedback will be processed manually.

[0131] The correction and compensation module includes a correction and compensation unit and a compensation tracking unit;

[0132] The correction and compensation unit is used to perform data correction and compensation in real time according to the error recording results, and the data correction and compensation are adjusted in real time according to the error recording results;

[0133] The compensation tracking unit is used to track the compensated remote sensing image in real time through the data tracker, and perform difference calculation between the compensated remote sensing image and the remote sensing image before compensation adjustment. If the difference calculation result is equal to 0, it means that the data correction compensation is invalid, and the reporting system issues a voice alarm. If the difference calculation result is not equal to 0, it means that the data correction compensation is valid. Through correction compensation, when deviations occur in the remote sensing image, timely correction can be made, ensuring that the system can obtain high-quality geographic information. In actual processing, it is possible to detect in real time whether there are deviations in the remote sensing image, and to realize timely correction when deviations occur in the remote sensing image, thereby further increasing the accuracy of geographic information collection.

[0134] The present invention provides a high-resolution remote sensing image geographic information acquisition system and method. When the system is in operation, the system first configures the IP address information of the remote sensing image remote control area server; enters the acquisition and warning end, collects the latest geographic information in real time through high-resolution remote sensing satellites, and predicts disaster monitoring anomalies in advance based on the latest geographic information, and promptly determines whether the geographic information is abnormal. If abnormal, the reporting system issues a voice alarm, and issues an emergency response decision plan based on the abnormal result. By setting the geographic information acquisition area range of the remote sensing satellite, and collecting the latest geographic information within the corresponding area in real time through high-resolution remote sensing satellites, setting standard geographic information parameters, and judging whether the information is abnormal in real time based on the latest geographic information, and predicting in advance whether the geographical location within the corresponding area has disaster monitoring anomalies based on the judgment results, the system can promptly judge whether the geographic information is abnormal, and issue an emergency response decision plan based on the abnormal result. When the remote sensing image geographic information is collected, the latest geographic information and disaster monitoring conditions can be obtained in a timely manner, meeting the use of application scenarios with high real-time requirements, and predicting disaster monitoring or emergency response in advance based on the latest geographic information, the limitations of geographic information collection can be reduced; enters the recognition and extraction end, by real-time collection of ground object information and multiple features of the target object, according to the details of the multiple features, real-time Extract valid information and invalid information, identify and judge what the target is in time according to the valid information, judge the approximate outline, collect the multi-features of the ground object information and the target object in real time, and divide it into valid information and invalid information in real time according to the details of the multi-features, and timely identify and judge what the target is in the valid information, so as to be able to judge the approximate outline of the target object in time, judge whether it affects the geographic information collection according to the approximate outline, obtain the real-time status of geographic information collection, and issue geographic information anomaly warning in time to improve the accuracy of geographic information collection; enter the correction and deviation correction end, receive the real-time status of geographic information in real time, and radiate the original remote sensing image in real time The preprocessing operations of radiation correction, geometric correction and atmospheric correction can detect whether there is deviation in the remote sensing image in real time, and make timely corrections when deviation occurs in the remote sensing image. By receiving the real-time status of geographic information in real time and performing radiation correction, geometric correction and atmospheric correction preprocessing operations on the original remote sensing image in real time, it can detect whether there is deviation in the remote sensing image in real time, and make timely corrections when deviation occurs in the remote sensing image through correction compensation, ensuring that the system can obtain high-quality geographic information. In actual processing, it can not only detect whether there is deviation in the remote sensing image in real time, but also make timely corrections when deviation occurs in the remote sensing image, further increasing the accuracy of geographic information collection.

[0135] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A high-resolution remote sensing image geographic information acquisition system, characterized in that: The system includes a collection and warning end, an identification and extraction end, and a correction and rectification end; The collection and warning terminal is used to set the geographical information collection area range of the remote sensing satellite, and collect the latest geographical information in the corresponding area in real time through the high-resolution remote sensing satellite, set standard geographical information parameters, and judge whether the information is abnormal in real time based on the latest geographical information. According to the judgment result, it is predicted in advance whether the geographical location within the corresponding area has disaster monitoring abnormalities, so that the system can judge whether the geographical information is abnormal in a timely manner and issue an emergency response decision plan based on the abnormal results; The identification and extraction end is used to collect multiple features of ground feature information and target objects in real time, and classify them into valid information and invalid information in real time based on the details of the multiple features. The valid information is promptly identified and determined to be the target in the valid information, and the approximate outline of the target object is determined. Based on the approximate outline, it is determined whether it affects the geographic information collection, and the real-time status of the geographic information collection is obtained. The correction and deflection correction end is used to receive the real-time status of geographic information in real time, and perform pre-processing operations of radiation correction, geometric correction and atmospheric correction on the original remote sensing image in real time, and can correct the remote sensing image in time when deviation occurs through correction compensation.

2. The system according to claim 1, wherein: The collection and warning terminal includes a region setting module, a disaster prediction module and a response decision module; The area setting module includes an area setting unit, an information collection unit and a standard information unit; The area setting unit is used to set the area range for collecting geographical information of remote sensing images, and the area range is adjustable through the controller; The information collection unit is used to collect the latest geographical information within the corresponding area in real time through a data collector, and record statistics in real time through a data recorder. The latest geographical information includes geographical environment parameters, geographical location parameters, geographical disaster conditions and information channel parameters; The standard information unit is used to set standard geographic information, which includes geographic environment parameters, geographic location parameters, geographic disaster conditions and information channel parameters within the corresponding area.

3. The system according to claim 2, characterized in that: The disaster prediction module includes a disaster judgment unit and an information prediction unit; The disaster judgment unit is used to monitor whether disaster anomalies occur in the corresponding area in real time based on the latest geographical information at the current moment. The specific method is as follows: Step 1: Set the environmental standard parameters of the geographic information within the corresponding area, and use earthquake monitoring equipment, landslide monitoring equipment, debris flow monitoring equipment, ground subsidence monitoring equipment, volcanic eruption monitoring equipment, temperature sensors, humidity sensors, and light sensors to detect the actual environmental parameters of the latest geographic information within the corresponding area at the current moment in real time; Step 2: Calculate the difference between the actual environmental parameters of the latest geographic information corresponding to the current time and the environmental standard parameters of the geographic information within the corresponding area. If the difference is equal to ±0.2, it is determined that the environmental parameters are approaching a safe value. If the difference is greater than 0.2 or less than -0.2, it is determined that the actual environmental parameters of the latest geographic information corresponding to the current time exceed the safe value, indicating that the latest geographic information corresponding to the current time has a disaster anomaly. The information prediction unit is used to predict in real time whether disaster anomalies will occur in the geographical information within the corresponding area of the next period based on the disaster anomaly. The prediction method is as follows: Step I: Count one day as one cycle, and predict the environmental parameters of the corresponding area in the next cycle based on the actual environmental parameters of the latest geographical information of the corresponding area in three cycles; Step II: If the average values of the actual environmental parameters of the latest geographic information in the corresponding area of the three cycles all exceed the environmental standard parameters, it means that disaster anomalies will occur in the geographic information in the corresponding area of the next cycle.

4. The system according to claim 3, wherein: The response decision module includes an abnormality receiving unit, an abnormality early warning unit and a response decision unit; The abnormality receiving unit is used to receive the geographical information judgment result and prediction result within the corresponding area in real time through the data receiver; The abnormal warning unit is used to report the abnormal result or the abnormal prediction result to the system to issue a disaster warning reminder; The response decision unit is used to automatically generate a disaster prevention response decision plan based on the disaster warning reminder, and the disaster prevention response decision plan is formulated based on historical disaster prevention strategies.

5. The system according to claim 1, wherein: The recognition and extraction end includes a detail capture module, an information receiving module and a contour judgment module; The detail capture module includes a detail extraction unit and an extraction and division unit; The detail extraction unit is used to collect the ground object information and multiple features of the target object in the corresponding area in real time through the data sensor, the multiple features including spectral features, spatial features, texture features, shape features and time features, the spatial features including the position, shape and size of the ground object, and the shape features including circle, square, rectangle and ellipse; The extraction and division unit is used to extract effective information within the corresponding area based on multiple features in real time according to the corner detection algorithm. The effective information includes spectrum, space, texture and shape. The extraction method is as follows: Set the standard parameters of the multi-feature image, collect multiple features in real time through remote sensing images and automatically generate images, and calculate the autocorrelation matrix M of the neighborhood around each pixel in the image. The calculation formula is as follows: Among them, I x and I y are the gradients of the image in the x and y directions respectively, w(i,j) is the window function, generally a Gaussian function; Calculate the eigenvalues λ1 and λ2 of the autocorrelation matrix M using the following formula: R=det(M)-k×trace(M) 2 ; Among them, R represents the response function value, k is an empirical constant, usually 0.04-0.

06. When the calculated R is greater than the set standard parameter, the point is automatically defined as valid information and recorded in real time by the data recorder.

6. The system according to claim 5, characterized in that: The information receiving module includes an information judgment unit and an effective positioning unit; The information judgment unit is used to automatically judge the data after extracting valid information from multiple features as invalid information, and record it in real time through a data recorder; The effective positioning unit is used to automatically locate the real-time position of the effective information according to the GPS positioning system.

7. The system according to claim 6, characterized in that: The contour judgment module includes a contour judgment unit and a contour early warning unit; The contour judgment unit is used to judge the approximate contours of multiple features in the process of remote sensing image geographic information acquisition in real time. The judgment method is as follows: According to historical data, the standard contour parameters of the geographic information image within the corresponding area are set. According to the contour initial point, the equidistant feature points of the contour movement and the currently tracked contour feature points collected from the high-resolution remote sensing image within the corresponding area, the average displacement of the feature points of the contour movement trajectory is calculated. Then, the approximate contour of the current multi-feature is calculated based on the movement of similar points. The average displacement of the feature points of the contour movement trajectory D is t The calculation equation is as follows: Among them, f x,y-1 represents the feature points in the geographic information collection area within the corresponding area of the remote sensing image at time t-1, f x,y represents the feature points of the geographic information collection area within the corresponding area of the remote sensing image detected at time t, and M represents the serial number of the feature points of the geographic information collection area tracked at time t; By moving the pixel point on the known image at time t-1 by D t , we can obtain the approximate outlines of multiple features in the remote sensing image geographic information picture at time t; The contour warning unit is used to automatically match the standard contour parameters of the geographic information picture within the corresponding area based on the approximate contours of multiple features in the remote sensing image geographic information picture. If the approximate contours of multiple features in the remote sensing image geographic information picture are used for the standard contour parameters of the geographic information picture within the corresponding area for difference calculation, if the difference calculation result is equal to 0, it means that the approximate contour is determined, and the reporting system issues a voice alarm. If the difference calculation result is not equal to 0, different standard contour parameters are replaced for secondary calculation until the difference result is equal to 0, and then the calculation stops.

8. The system according to claim 1, wherein: The abnormality correction end includes a data receiving module, a correction processing module, an error recording module and a correction compensation module; The data receiving module is used to receive the real-time status of geographic information within the corresponding area through a data receiver; The correction processing module is used to perform real-time calculations of radiation correction, geometric correction, and atmospheric correction on remote sensing images. The calculation formula is as follows: Radiation correction: Among them, L is the corrected radiance value within the corresponding area, DN is the pixel value of the remote sensing image within the corresponding area, a and B are the corresponding gain and bias values of the sensor respectively; Geometric correction: x′=a0+a1x+a2y; y′=b0+b1x+b2y; Among them, (x, y) represents the image coordinates of the original remote sensing image, and (x′, y′) represents the image coordinates of the corrected remote sensing image. The image coordinates of the image, a0, a1, a2, b0, b1 and b2 are the conversion coefficients; Atmospheric correction: Among them, L in this atmospheric correction represents the surface reflectivity after atmospheric correction in the corresponding area, y represents the radiation brightness received by the sensor, x is the atmospheric radiation, x0 and y0 are the three input parameters of the atmospheric correction lookup table, namely, the incident radiation at the upper boundary of the atmosphere, the solar zenith angle and the reflectivity of the ground object, ρ is the apparent reflectivity of the top of the atmosphere of the ground object in the corresponding area, l is the irradiance of the pixel on the satellite in the corresponding area, d is the astronomical unit distance between the sun and the earth in the corresponding area, which is generally 1, E0 is the solar irradiance in the corresponding area, and each band corresponds to a different E0, and θ is the solar zenith angle in the corresponding area.

9. The system according to claim 8, characterized in that: The error recording module is used to According to the real-time calculation results of radiation correction, geometric correction and atmospheric correction of remote sensing images, The data recorder records errors in real time; The correction and compensation module includes a correction and compensation unit and a compensation tracking unit; The correction and compensation unit is used to perform data correction and compensation in real time according to the error recording result, and the data correction and compensation are adjusted in real time according to the error recording result; The compensation tracking unit is used to track the remote sensing image after compensation adjustment in real time through a data tracker, and perform difference calculation on the remote sensing image after compensation adjustment and the remote sensing image before compensation adjustment. If the difference calculation result is equal to 0, it means that the data correction compensation is invalid, and the reporting system issues a voice alarm. If the difference calculation result is not equal to 0, it means that the data correction compensation is valid.

10. A method for collecting geographic information from high-resolution remote sensing images according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Configure the IP address information of the remote sensing image remote control area server; Step 2: Enter the data collection and early warning terminal, collect the latest geographic information in real time through high-resolution remote sensing satellites, and predict disaster monitoring anomalies in advance based on the latest geographic information. In a timely manner, determine whether the geographic information is abnormal. If abnormal, the reporting system will issue a voice alarm and issue an emergency response decision plan based on the abnormal results. Step 3: Enter the recognition and extraction end, collect ground feature information and multiple features of the target object in real time, extract valid and invalid information in real time based on the details of the multiple features, and promptly identify and determine the target based on the valid information, and determine the approximate outline; Step 4: Enter the correction and deflection correction end, receive the real-time status of geographic information in real time, and perform pre-processing operations of radiation correction, geometric correction and atmospheric correction on the original remote sensing image in real time, detect whether there is any deviation in the remote sensing image in real time, and make timely corrections when deviation occurs in the remote sensing image.

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