Surveying and mapping geographic information system based on unmanned aerial vehicle

Abstract

The invention discloses a surveying and mapping geographic information system based on an unmanned aerial vehicle, relates to the technical field of surveying and mapping transmission of the unmanned aerial vehicle, and solves the problem that associated channels with different bandwidths are adopted for transmission for image areas with different resolutions. Whether the transmission time of the image affects the unit time of the next period or not is evaluated, a subsequent execution end is determined based on an evaluation result, if normal transmission of the next period is not affected, data transmission is directly carried out, and if corresponding related influences exist, resolution characteristics of different areas in the image are collected, so that the data transmission efficiency is improved. According to the method, the acquired image is divided into a plurality of different feature regions, and then the associated parallel channels are adopted for data transmission, so that the specific data transmission rate is guaranteed, the data transmission process time is guaranteed to be fully shortened, and a better data transmission effect is achieved.

Description

Technical Field

[0001] The present invention relates to the field of unmanned aerial vehicle (UAV) surveying and mapping transmission technology, and in particular to a UAV-based surveying and mapping geographic information system. Background Art

[0002] Drone mapping is a technology that uses drones equipped with various sensor devices to measure and map ground targets. Drones can be quickly deployed to the survey area, greatly shortening the survey time. Compared with traditional manual surveying or large aircraft surveying, drones can complete large-area surveying tasks in a shorter time.

[0003] The application with publication number CN216599621U discloses a UAV aerial image transmission system based on low-orbit satellites, including: an integrated surveying and mapping UAV: ​​used to shoot ground images and package the ground images into data packets; a low-orbit Internet satellite constellation: composed of a number of low-orbit satellites, which are connected through inter-satellite link communications and used for data transmission between the integrated surveying and mapping UAV and the ground master station; the ground master station: used to receive the data packets transmitted by the low-orbit Internet satellite constellation; the image processing center: used to decompress the data packets; the terminal department: receives the data and formulates corresponding command information based on the data. The utility model transmits the aerial photography data of the UAV through satellite communication, so that emergency surveying and mapping is not limited by the communication coverage range, thereby realizing the timeliness and reliability of the acquisition of spatial geographic information in emergency situations, and improving the level of emergency rescue command.

[0004] In the actual transmission process, the relevant image data collected by the drone is generally transmitted in sequence based on the correlation order of the previous and subsequent collections, and real-time transmission is used to shorten the specific transmission time. However, in actual application, the original real-time transmission processing method does not perform transmission analysis on the collected images to assess whether transmission optimization is needed. In the process of transmission optimization, related channels with different bandwidths are used for transmission for image areas with different resolutions, so as to fully reduce the transmission rate. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides a surveying and mapping geographic information system based on an unmanned aerial vehicle, which solves the problem of using associated channels with different bandwidths for transmission for image areas with different resolutions.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A surveying and mapping geographic information system based on unmanned aerial vehicles, comprising:

[0007] The relevant data confirmation terminal confirms the relevant image data packets in the single acquisition process of the drone, and transmits the confirmed relevant image data packets to the associated data confirmation terminal. The drone takes pictures once at intervals within a unit time, and the unit time is a preset time. The relevant image data includes the acquired image and image data;

[0008] The associated data confirmation end confirms the resolution of the captured image from the relevant image data packet, and then identifies the transmission rate associated with this resolution from the historical completion data, and then determines its transmission time period, and checks the transmission time period with the unit time. Based on the check result, the subsequent execution end is determined. The specific method is as follows:

[0009] Determine the resolution of the corresponding captured image in the relevant image data packet, and identify the transmission rate associated with this resolution from the historical completion data, select the minimum and maximum values ​​from the associated groups of transmission rates, and determine the transmission rate range [V i min,V i max], where i represents different resolutions, and the resolution of the acquired image is the overall average of the resolutions of different internal regions;

[0010] Determine the total capacity R of the relevant image data packets, based on the total capacity R and the transmission rate range [V i min,V i max], confirm its transmission time period [T i min,T i max];

[0011] Based on the set unit time T and the transmission time period [T i min,T i max]:

[0012] If T>T i max, the transmission execution end is directly executed to directly transmit the relevant image data packet, so that the relevant image data packet is transmitted to the image database for storage;

[0013] If T∈[T i min,T i max], compress the relevant image data packets so that the maximum transmission time T confirmed by the compressed data capacity i max satisfies: T>T i max, and transmit the compressed data packet through the transmission execution end, and transmit the data packet to the image database for storage;

[0014] If T≤T i min, the image region classification and recognition end is executed to classify the relevant regions of different resolutions in the acquired image and then transmit them in parallel;

[0015] The image region classification and recognition end, based on the resolution associated with different regional points in the acquired image, merges the relevant regional points with similar resolution characteristics to determine the corresponding merged area. Based on the relevant confirmation of several merged areas, the acquired image is divided into regional images of multiple different areas. The specific method is as follows:

[0016] Based on the image area associated with the acquired image, the center point of the image area is determined first, the resolution F1 of the center point is locked, and then a set of resolution confirmation ranges is determined, and the confirmation range is: F1±Y1, where Y1 is a preset value, and the points associated with the resolutions belonging to the confirmation range are merged to determine the first group of merged areas;

[0017] A group of points are randomly selected from other areas outside the merged area, and the resolution F2 of this point is determined, and its resolution confirmation range is locked. The confirmation range is: F2±Y1, where Y1 is a preset value. Then the coverage area of ​​the points associated with the resolution belonging to this confirmation range is confirmed, and then the resolution of other points inside this coverage area is confirmed, and the coverage areas of other points are determined synchronously based on the confirmation range. From the confirmed groups of coverage areas, the coverage area with the largest area is marked as the second merged area;

[0018] Similarly, the remaining merged regions are confirmed one by one from other regions outside the subsequent merged region until all image regions inside the entire acquired image are confirmed, and the partial image associated with the merged region is calibrated as a regional image;

[0019] The channel bandwidth allocation end determines the number of associated channels for transmission based on the number of several groups of regional images, and then determines the resolution mean associated with the corresponding regional images, and determines the bandwidth of the associated channels based on the ratio of the several groups of resolution mean values, and performs associated allocation, and transmits the determined number of associated channels and the associated bandwidth to the transmission execution end; the specific method is:

[0020] Based on the number G of images in the corresponding area of ​​the acquired image, the number S of associated channels is determined;

[0021] Then, based on the resolutions corresponding to several different points in each regional image, several resolutions are averaged to determine the resolution mean Jo, where o represents different regional images, and the S groups of resolution mean Jo are ratio processed to determine the ratio sequence;

[0022] Based on the total bandwidth Z of the original transmission channel and the determined ratio sequence, determine the bandwidth Do of the corresponding associated channel, where Z is a preset value;

[0023] The determined S and the corresponding bandwidth Do are transmitted to the transmission execution end.

[0024] Preferably, the transmission execution end divides the original transmission channel into S parallel channels based on the determined number S and several bandwidths Do, and the bandwidth of each parallel channel corresponds one-to-one to the determined bandwidth Do, and based on the bandwidth Do determined for the corresponding parallel channel, transmits the regional image and partial regional image data with a resolution average value of Jo, and each parallel channel transmits data synchronously, so that the several regional images and partial regional image data about this acquired image are transmitted to the image database.

[0025] Preferably, the image database directly receives and stores the transmitted relevant image data packets;

[0026] Based on the transmitted compressed data packet, the data packet is compressed to obtain the original relevant image data packet, and then stored;

[0027] Based on the transmitted regional images and partial regional image data, the regional images are integrated according to the division marks, the original collected images and image data are confirmed, and the original relevant image data packets are obtained, and the division marks are set in the division process;

[0028] Based on the related image data packets received in sequence, they are arranged and stored in chronological order.

[0029] Preferably, it also includes:

[0030] The outlier recognition end performs correlation analysis on the related image data packets stored in the image database in sequence, and evaluates whether the image resolution of the consecutive collected images is abnormal. The specific method is as follows:

[0031] Determine the captured image from the sequentially stored related image data packets, and calibrate the resolution determined by the captured image as B p , where p represents different related image data packets;

[0032] Several sets of resolution B will be confirmed in real time p Perform variance processing to determine the associated variance;

[0033] Compare the correlation variance Fc1 confirmed in the current stage with the correlation variance Fc2 confirmed in the variance processing process of the previous stage to identify whether Fc1 and Fc2 satisfy: Fc1 ≥ C1 × Fc2, where C1 is a preset fixed coefficient factor;

[0034] If it is satisfied, the collected image participating in the current stage is calibrated as an abnormal image, and the calibrated abnormal image is directly displayed. If it is not satisfied, no calibration is performed.

[0035] The present invention provides a surveying and mapping geographic information system based on drones. Compared with the prior art, it has the following beneficial effects:

[0036] The present invention conducts correlation analysis on the transmission time of the image collected by the drone to evaluate whether the transmission time will affect the unit time of the next cycle. Based on the evaluation result, the subsequent execution end is determined. If it does not affect the normal transmission of the next cycle, the data transmission can be directly performed. If there is a corresponding related impact, the collected image is divided into a plurality of different feature areas by the resolution characteristics of different areas in the collected image, and then the data transmission is performed using the associated parallel channels, so as to ensure the specific data transmission rate, ensure that the data transmission process time is fully shortened, and achieve a better data transmission effect.

[0037] For the image data transmitted in real time, the resolution of the corresponding collected image is confirmed from the image data. Based on the changes between the resolution values, the resolution value with abnormal changes is locked, and the collected image with relevant abnormalities is displayed in real time, so that the relevant operators can intervene in time and carry out real-time dispatch of drones in advance to ensure that the points associated with the corresponding abnormal images can be collected again. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the process of the present invention;

[0039] Figure 2 Schematic diagram of the resolution identification and evaluation process of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] See also Figure 1The present application provides a surveying and mapping geographic information system based on drones. During the actual surveying and mapping process, the drone will transmit the relevant image data obtained in real time to the receiving terminal through the associated information system. The relevant image data includes the collected image and image data, and the image data is obtained by sensors such as laser radar. The present application mainly focuses on the transmission rate of the relevant data, so that the drone can quickly and effectively transmit the collected data to the receiving terminal, and lock the abnormal point in real time after receiving it, and directly survey again before the drone ends the flight mission, so there is no need to return to the take-off point to perform the related go-around mission, which can achieve a better abnormal point survey and exploration effect, including:

[0042] The relevant data confirmation end confirms the relevant image data packets in the single acquisition process of the drone, and transmits the confirmed relevant image data packets to the associated data confirmation end. When the drone is flying and shooting, there is interval shooting, which is one shot per unit time. The unit time is a preset time, which is prepared in advance by the relevant operator, generally 1 minute or several minutes. Each shooting process is the corresponding single acquisition process;

[0043] Its associated data confirmation end confirms the resolution of the collected image from the relevant image data packet, and then identifies the transmission rate associated with this resolution from the historical completion data, and then determines its transmission time period, and checks the transmission time period with the unit time. Based on the check result, the subsequent execution end is determined. Specifically, based on the specific check process, it can be determined whether the corresponding collected data can complete the corresponding transmission process within the unit time. If the corresponding transmission process can be completed, the transmission processing can be directly carried out. If the corresponding transmission process cannot be completed, it is necessary to perform relevant transmission optimization to speed up the relevant transmission rate and shorten the transmission time, so as to achieve better transmission effect;

[0044] Among them, combined Figure 2 The specific method of verification is:

[0045] Determine the resolution of the corresponding captured image in the relevant image data packet, and identify the transmission rate associated with this resolution from the historical completion data, select the minimum and maximum values ​​from the associated groups of transmission rates, and determine the transmission rate range [V i min,V i max], where i represents different resolutions, and the resolution of the acquired image is the overall average of the resolutions of different internal regions;

[0046] Determine the total capacity R of the relevant image data packets, based on the total capacity R and the transmission rate range [V i min,V i max], confirm its transmission time period [T i min,Ti max];

[0047] Based on the set unit time T and the transmission time period [T i min,T i max]:

[0048] If T>T i max, the transmission execution end is directly executed to directly transmit the relevant image data packet, so that the relevant image data packet is transmitted to the image database for storage, which means that its transmission time is completely sufficient and will not occupy the unit time of the next relevant image data packet transmission;

[0049] If T∈[T i min,T i max], compress the relevant image data packets so that the maximum transmission time T confirmed by the compressed data capacity i max satisfies: T>T i max, and transmit the compressed data packet through the transmission execution end, and transmit the data packet to the image database for storage. Specifically, the transmission rates associated with the same resolution are not much different, so the internal difference of the confirmed time period is also small, so the compression method can be directly used to reduce the maximum value of the time period, so as to complete the corresponding transmission process within the unit time;

[0050] If T≤T i min, the image region classification and recognition end is executed to classify the relevant regions of different resolutions in the acquired image and then transmit them in parallel.

[0051] Among them, the image region classification and recognition end, based on the resolution associated with different regional points in the collected image, merges the relevant regional points with similar resolution characteristics to determine the corresponding merged area, and divides the collected image into a plurality of regional images of different regions based on the relevant confirmation of several merged regions. Specifically, due to the corresponding shooting focal length in the specific shooting process, the resolution of some regions is higher and the resolution of some regions is lower, so the corresponding collected image can be divided into a plurality of relevant regions with different resolutions;

[0052] The specific method of dividing the images into multiple different regions is as follows:

[0053] Based on the image area associated with the acquired image, the center point of this image area is determined first (the center point of the image area is confirmed in the following way: the points associated with the outline of the image area are confirmed one by one, and then the outline is placed in a two-dimensional coordinate system, the point coordinates of the associated points are confirmed in real time, and then the point coordinates of several associated points are averaged to lock the corresponding average coordinates, and the point corresponding to the average coordinates is the center point of this image area), the resolution F1 of this center point is locked, and then a set of resolution confirmation ranges is determined, and the confirmation range is: F1±Y1, where Y1 is a preset value, and its specific value is determined by the operator based on experience, and the points associated with the resolutions belonging to this confirmation range are merged to determine the first group of merged areas, and this merged area is generally located in the center area of ​​the image area;

[0054] A group of points are randomly selected from other areas outside the merged area, and the resolution F2 of this point is determined, and its resolution confirmation range is locked. The confirmation range is: F2±Y1, where Y1 is a preset value. Then the coverage area of ​​the points associated with the resolution belonging to this confirmation range is confirmed, and then the resolution of other points inside this coverage area is confirmed, and the coverage area of ​​other points is determined synchronously based on the confirmation range. From the confirmed groups of coverage areas, the coverage area with the largest area is marked as the second merged area. For example: After the first group of merged areas is confirmed, a group of points A is randomly selected from the outer circle area. This point A generates a corresponding coverage area A+, and then other related points B are locked from A+. The coverage area B+ generated by point B will overlap with A+, which basically belongs to the same similar feature. In order to make the subsequent merged area reach the best state when confirming, it is necessary to go through multiple confirmations, so that the corresponding coverage area is stopped when the area is at the maximum state, and then the corresponding merged area is specifically confirmed and locked to achieve a better merged area confirmation effect;

[0055] Similarly, the remaining merged regions are confirmed one by one from other regions outside the subsequent merged region until all image regions inside the entire acquired image are confirmed, and the partial image associated with the merged region is calibrated as a regional image.

[0056] The channel bandwidth allocation end determines the number of associated channels for transmission based on the number of groups of regional images, and then determines the average resolution associated with the corresponding regional images, and determines the bandwidth of the associated channels based on the ratio of the average resolutions of the groups, and performs associated allocation, and transmits the determined number of associated channels and the associated bandwidth to the transmission execution end, wherein the specific method of performing the associated allocation is:

[0057] Based on the number G of images in the corresponding area of ​​the acquired image, the number S of associated channels is determined;

[0058] Then, based on the resolutions corresponding to several different points in each regional image, several resolutions are averaged to determine the resolution mean Jo, where o represents different regional images, and the S groups of resolution mean Jo are ratio processed to determine the ratio sequence;

[0059] Based on the total bandwidth Z of the original transmission channel and the determined ratio sequence, determine the bandwidth Do of the corresponding associated channel, where Z is a preset value. For example, if the determined total bandwidth Z is 20 and the determined ratio sequence is 2:2:3:3, then after the associated allocation, the bandwidths of the corresponding associated channels are 4, 4, 6 and 6 respectively, and the bandwidths correspond to the ratios at the corresponding positions in the ratio sequence one by one.

[0060] The determined S and the corresponding bandwidth Do are transmitted to the transmission execution end.

[0061] Among them, the transmission execution end divides the original transmission channel into S parallel channels based on the determined number S and several bandwidths Do, and the bandwidth of each parallel channel corresponds to the determined bandwidth Do one by one. Based on the bandwidth Do determined by the corresponding parallel channel, the regional image with a resolution average value of Jo and the partial regional image data are transmitted, and each parallel channel transmits data synchronously, so that several regional images and partial regional image data about this acquired image are transmitted to the image database. For example: if S takes the value of 3, there are three parallel channels, which are proposed to be A, B and C parallel channels, and their determined bandwidth values ​​are 5, 6 and 7 respectively, corresponding to D1, D2 and D3 respectively, where o=1, 2, 3. For the regional image of J1, a parallel channel with a bandwidth of D1 is used for transmission, for the regional image with a resolution average value of J2, a parallel channel with a bandwidth of D2 is used for transmission, and for the regional image with a resolution average value of J3, a parallel channel with a bandwidth of D3 is used for transmission.

[0062] The image database directly receives and stores the transmitted relevant image data packets;

[0063] Based on the transmitted compressed data packet, the data packet is compressed to obtain the original relevant image data packet, and then stored;

[0064] Based on the transmitted regional images and partial regional image data, the regional images are integrated according to the division marks, the original collected images and image data are confirmed, and the original relevant image data packets are obtained, and the division marks are set in the division process;

[0065] Based on the related image data packets received in sequence, they are arranged and stored in chronological order.

[0066] The outlier recognition end performs correlation analysis on the related image data packets sequentially stored in the image database, assesses whether the successively appearing collected images have abnormal image resolution, and locks the abnormal image based on the assessment result. The specific method of conducting the assessment is as follows:

[0067] Determine the captured image from the sequentially stored related image data packets, and calibrate the resolution determined by the captured image as B p , where p represents different related image data packets;

[0068] Several sets of resolution B will be confirmed in real time p Perform variance processing to determine the associated variance;

[0069] Compare the correlation variance Fc1 confirmed in the current stage with the correlation variance Fc2 confirmed in the variance processing process of the previous stage to identify whether Fc1 and Fc2 satisfy: Fc1 ≥ C1 × Fc2, where C1 is a preset fixed coefficient factor, generally taking a value of 3;

[0070] If the conditions are met, the collected images in the current stage are calibrated as abnormal images. If the conditions are not met, no calibration is performed.

[0071] The calibrated abnormal image is directly displayed, and the operator makes a comprehensive judgment based on the displayed abnormal image to determine whether it is necessary to control the drone to return to the collection point for collection again, so as to ensure the specific surveying and mapping rate in the process of geographic information surveying and mapping;

[0072] In the normal surveying and mapping process, the resolution of the collected images should change gradually. Since there are basically more overlapping areas between the images collected this time and the images collected last time, the resolution should change gradually. When the drone is shooting, it will be affected by the external environment or the lens is blurred, which will cause a large difference in resolution. When such differences occur, there will be changes in values. Therefore, based on the variance change method, the corresponding abnormal situation can be quickly locked and relevant processing can be carried out in time to facilitate timely response, so as to complete the specific photo-taking work before the end of the drone flight.

[0073] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0074] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A surveying and mapping geographic information system based on drones, characterized in that: include: The relevant data confirmation terminal confirms the relevant image data packets in the single acquisition process of the drone, and transmits the confirmed relevant image data packets to the associated data confirmation terminal. The drone takes pictures once at intervals within a unit time, and the unit time is a preset time. The relevant image data includes the acquired image and image data; The associated data confirmation end confirms the resolution of the captured image from the relevant image data packet, and then identifies the transmission rate associated with this resolution from the historical completion data, and then determines its transmission time period, checks the transmission time period with the unit time, and determines the subsequent execution end based on the check result; The image region classification and recognition end, based on the resolution associated with different regional points in the acquired image, merges the relevant regional points with similar resolution characteristics to determine the corresponding merged area, and divides the acquired image into multiple regional images of different regions based on the relevant confirmation of several merged areas; The channel bandwidth allocation end determines the number of associated channels for transmission based on the number of several groups of regional images, and then determines the resolution mean associated with the corresponding regional images. Based on the ratio of several groups of resolution mean values, the bandwidth of the associated channels is determined, and associated allocation is performed, and the determined number of associated channels and the associated bandwidth are transmitted to the transmission execution end.

2. A surveying and mapping geographic information system based on drone according to claim 1, characterized in that: The specific method of the associated data confirmation end to check the transmission time period with the unit time is: Determine the resolution of the corresponding captured image in the relevant image data packet, and identify the transmission rate associated with this resolution from the historical completion data, select the minimum and maximum values ​​from the associated groups of transmission rates, and determine the transmission rate range [V i min,V i max], where i represents different resolutions, and the resolution of the acquired image is the overall average of the resolutions of different internal regions; Determine the total capacity R of the relevant image data packets, based on the total capacity R and the transmission rate range [V i min,V i max], confirm its transmission time period [T i min,T i max]; Based on the set unit time T and the transmission time period [T i min,T i max]: If T>T i max, the transmission execution end is directly executed to directly transmit the relevant image data packet, so that the relevant image data packet is transmitted to the image database for storage; If T∈[T i min,T i max], compress the relevant image data packets so that the maximum transmission time T confirmed by the compressed data capacity i max satisfies: T>T i max, and transmit the compressed data packet through the transmission execution end, and transmit the data packet to the image database for storage; If T≤T i min, the image region classification and recognition end is executed to classify the relevant regions of different resolutions in the acquired image and then transmit them in parallel.

3. A surveying and mapping geographic information system based on drone according to claim 2, characterized in that: The specific method of the image region classification and recognition end for dividing the collected image into a plurality of regional images of different regions is as follows: Based on the image area associated with the acquired image, the center point of the image area is determined first, the resolution F1 of the center point is locked, and then a set of resolution confirmation ranges is determined, and the confirmation range is: F1±Y1, where Y1 is a preset value, and the points associated with the resolutions belonging to the confirmation range are merged to determine the first group of merged areas; A group of points are randomly selected from other areas outside the merged area, and the resolution F2 of this point is determined, and its resolution confirmation range is locked. The confirmation range is: F2±Y1, where Y1 is a preset value. Then the coverage area of ​​the points associated with the resolution belonging to this confirmation range is confirmed, and then the resolution of other points inside this coverage area is confirmed, and the coverage areas of other points are determined synchronously based on the confirmation range. From the confirmed groups of coverage areas, the coverage area with the largest area is marked as the second merged area; Similarly, the remaining merged regions are confirmed one by one from other regions outside the subsequent merged region until all image regions inside the entire acquired image are confirmed, and the partial image associated with the merged region is calibrated as a regional image.

4. The surveying and mapping geographic information system based on unmanned aerial vehicle according to claim 1, characterized in that: The specific manner in which the channel bandwidth allocation end performs associated allocation is: Based on the number G of images in the corresponding area of ​​the acquired image, the number S of associated channels is determined; Then, based on the resolutions corresponding to several different points in each regional image, several resolutions are averaged to determine the resolution mean Jo, where o represents different regional images, and the S groups of resolution mean Jo are ratio processed to determine the ratio sequence; Based on the total bandwidth Z of the original transmission channel and the determined ratio sequence, determine the bandwidth Do of the corresponding associated channel, where Z is a preset value; The determined S and the corresponding bandwidth Do are transmitted to the transmission execution end.

5. A surveying and mapping geographic information system based on unmanned aerial vehicle according to claim 4, characterized in that: The transmission execution end divides the original transmission channel into S parallel channels based on the determined number S and several bandwidths Do, and the bandwidth of each parallel channel corresponds to the determined bandwidth Do one by one, and based on the bandwidth Do determined by the corresponding parallel channel, transmits the regional image and partial regional image data with a resolution average value Jo, and each parallel channel transmits data synchronously, so that the several regional images and partial regional image data about this acquired image are transmitted to the image database.

6. A surveying and mapping geographic information system based on an unmanned aerial vehicle according to any one of claims 2 or 5, characterized in that: The image database directly receives and stores the transmitted relevant image data packets; Based on the transmitted compressed data packet, the data packet is compressed to obtain the original relevant image data packet, and then stored; Based on the transmitted regional images and partial regional image data, the regional images are integrated according to the division marks, the original collected images and image data are confirmed, and the original relevant image data packets are obtained, and the division marks are set in the division process; Based on the related image data packets received in sequence, they are arranged and stored in chronological order.

7. A surveying and mapping geographic information system based on unmanned aerial vehicle according to claim 6, characterized in that: Also includes: The outlier recognition end performs correlation analysis on the related image data packets stored in sequence in the image database, evaluates whether there are abnormalities in the image resolution of the successively appearing collected images, and locks the abnormal image based on the evaluation results.

8. The surveying and mapping geographic information system based on unmanned aerial vehicle according to claim 7, characterized in that: The specific method of evaluating whether the successively appearing collected images have image resolution abnormalities at the outlier recognition end is: Determine the captured image from the sequentially stored related image data packets, and calibrate the resolution determined by the captured image as B p , where p represents different related image data packets; Several sets of resolution B will be confirmed in real time p Perform variance processing to determine the associated variance; Compare the correlation variance Fc1 confirmed in the current stage with the correlation variance Fc2 confirmed in the variance processing process of the previous stage to identify whether Fc1 and Fc2 satisfy: Fc1 ≥ C1 × Fc2, where C1 is a preset fixed coefficient factor; If it is satisfied, the collected image participating in the current stage is calibrated as an abnormal image, and the calibrated abnormal image is directly displayed. If it is not satisfied, no calibration is performed.

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