14 results about "Earth remote sensing" patented technology

The invention relates to a remote sensing water depth inversion system and method based on image space constraint and residual compensation, and belongs to the technical field of earth remote sensing detection and space remote sensing. Comprising the following steps: preprocessing satellite data, including active satellite data preprocessing and passive satellite data preprocessing; a BP neural network water depth inversion model is constructed, the preprocessed satellite data is used for training, and a preliminary water depth estimation value is output; establishing a residual compensation model and introducing spatial consistency constraint, and in the residual compensation process, introducing a spatial smooth penalty term by calculating the difference of water depth values of adjacent pixels to suppress local mutation; and carrying out optimization training on the model by using a joint loss function which is formed by weighted combination of mean square error and space consistency constraint loss, and outputting a final water depth inversion result. According to the method, an image space constraint loss term and a space smoothing penalty term in residual compensation are introduced, so that the consistency and the smoothness of an inversion result in space are ensured.

The present invention relates to a method and system for calculating the drift angle in imaging during forward and reverse pushbroom scanning, which is applicable to the field of high-resolution earth remote sensing observation. The observation satellite has attitude control with active rotation angular velocities in all three axes during the remote sensing imaging process. The present invention selects the current target attitude of the imaging satellite as a reference, calculates the drift angles for forward and reverse pushbroom imaging along the satellite flight trajectory, and can achieve the splicing of multiple strips in a single imaging interval, greatly expanding the imaging swath of the camera. During the forward and reverse pushbroom scanning processes, the increments of the drift angles calculated by different methods are first calculated, the increment of the drift angle is converted into an attitude matrix to update the target attitude matrix, and the updated attitude matrix is used as the target attitude matrix for attitude control. Through attitude control, the tracking control of the target attitude is realized, and the attitude control performance during the reverse pushbroom scanning process is improved.

The present application relates to the satellite detection technical field of space target, specifically speaking, through the load characteristic, the orbit characteristic of the earth remote sensing satellite and the orbit characteristic of the high orbit target, the high orbit space target detection planning method based on the earth remote sensing satellite is proposed, using this method generates the imaging opportunity, calculates the relative angular velocity of the high orbit space target on the focal plane of the earth remote sensing satellite;And the attitude direction is calculated to carry out high orbit space target observation, both can enhance the brightness of the detection target and realize the detection of the star target, and long arc segment monitoring can be realized to meet the demand of space-based orbit determination to dense measurement, has the wide application scene.

The invention discloses an over-the-ground remote sensing task parameter generation method for on-satellite autonomous task planning. The method comprises the following steps: 1) constructing a satellite over-the-ground remote sensing task knowledge graph; taking entities in a satellite earth remote sensing historical task as nodes in the atlas; 2) carrying out numeralization on each node and the attribute thereof in the map to obtain an initial numerical value representation of the corresponding node; 3) generating embedded representation of the corresponding node according to the initial numerical representation of the node and the associated information of the node; 4) respectively setting a corresponding classification prediction task for different missing information in the earth remote sensing task; for each classification prediction task, utilizing embedded representation training of each node to obtain a corresponding prediction classifier; and 5) selecting a corresponding prediction classifier according to missing information in the to-be-processed earth remote sensing task, and inputting the embedded representation of the to-be-processed earth remote sensing task into the selected classifier to predict and obtain the missing information in the to-be-processed earth remote sensing task.

The utility model relates to an optical imaging system, in particular to a visible infrared dual-band refraction and reflection optical system based on a free-form surface shared beam shrinking lens. The technical problem that an existing total reflection type earth remote sensing system and a refraction and reflection type earth remote sensing optical system are difficult to meet the overall requirements of compactness, stray light, convenient adjustment and large view field is solved. The system comprises a beam shrinking unit, a dichroic mirror, a visible TDI imaging lens group, a reflecting mirror, an infrared TDI imaging lens group, a visible switching reflecting mirror and a visible area array imaging lens group, wherein the beam shrinking unit and the dichroic mirror are sequentially arranged along a light path; the visible TDI imaging lens group, the reflecting mirror and the infrared TDI imaging lens group are arranged on a reflecting light path of the dichroic mirror; the visible area array imaging lens group is arranged on a reflecting light path of the visible switching reflecting mirror; the beam shrinking unit comprises a primary mirror, a secondary mirror, an axis folding mirror and a third mirror which are sequentially arranged along a light path; the primary mirror and the secondary mirror are coaxially arranged; the included angle between the normal of the folding-axis mirror and the optical axis of the system is greater than 45 degrees; the third mirror is a free-form surface reflecting mirror, and emergent central view field light of the third mirror is perpendicular to primary and secondary mirror axes; and the dichroic mirror is arranged on an emergent light path of the third mirror.

This invention belongs to the field of low-Earth orbit remote sensing satellite technology and provides a method and system for inter-satellite phase design based on sensor field-of-view matching. The method includes: observation and positioning to obtain the characterization of inter-satellite phase design input variables; calculating the upper and lower limits of the inter-satellite phase difference based on the characterization of the inter-satellite phase design input variables; determining the range of inter-satellite phase difference values; and outputting the phase difference. This invention solves the problem of field-of-view matching during satellite relay, improving the accuracy of relays. It further considers satellite sensor field-of-view matching when satellites have a cooperative relationship, making the problem more targeted to specific scenarios. It is applicable to applications such as Earth remote sensing observation and space debris observation, and is suitable for various sensors, including optical and microwave sensors. It can provide direct guidance for the design of various specific constellation schemes with inter-satellite relay cooperation.

This invention relates to a ground flight control and operation support system for a very low Earth orbit (UEO) satellite constellation. It incorporates predicted space environment information, satellite attitude change information, and orbit control information into the high-precision satellite orbit prediction process, effectively ensuring higher orbit prediction accuracy for the UEO constellation and maximizing the assistance to ground control stations during satellite transits in capturing and tracking the satellite. The satellite attitude and orbit control system simulation module performs real-time simulations of the impact of attitude control and orbit control on orbital maneuvers, thereby achieving higher orbit control accuracy and providing better assurance for the precise execution of missions by the UEO constellation. Automatic scheduling of Earth remote sensing and data transmission tasks, along with ground system fault identification and handling, and collision warning, provide more intelligent support for the operation of the UEO constellation.

The present invention relates to a ground object detection refraction error compensation modeling method and system, belonging to the field of earth remote sensing detection and space remote sensing technology. The atmosphere between an aircraft and the earth's surface is divided into N layers, and the distance between two adjacent layers is calculated. Then, according to Snell's law, the light refraction angle at each atmospheric layer is obtained. The Hopfield model of the atmospheric refractive index and the e-exponent joint model are combined to realize the simulation calculation of the atmospheric refractive index profile, and then the horizontal distance between two adjacent atmospheric layers on the light propagation path is obtained. Finally, the vertical distance from the aircraft to the earth's surface is combined to calculate the angle between the line connecting the aircraft and the true position of the ground object and the vertical line to the center of the earth, that is, the true elevation angle, so as to analyze and obtain the elevation angle error and distance error. The present invention can correct the elevation angle error and distance error of the aircraft caused by atmospheric refraction, and thus be applied to the accurate identification and positioning of the observed target.

The invention discloses an SAR back projection self-focusing imaging method based on a contrast criterion, and relates to the technical field of synthetic aperture radar imaging, and the method comprises the following steps: S1, collecting original echo data, and carrying out the distance compression; s2, obtaining a full-resolution SAR image; s3, constructing a phase error vector; s4, obtaining an optimized phase error vector; s5, obtaining a fitting phase error; and S6, obtaining a high-precision SAR focused image. According to the method, prior information of phase errors does not need to be known, high-frequency, low-frequency and randomly-distributed phase errors existing in SAR echo data can be estimated, the method is suitable for SAR self-focusing imaging under the condition of complex motion trails, the calculation complexity is reduced, and meanwhile the imaging precision is improved. The method can be applied to the fields of synthetic aperture radar imaging, earth remote sensing and the like.

The invention relates to a ground object detection refraction error compensation modeling method and system, and belongs to the technical field of earth remote sensing detection and space remote sensing. The atmosphere between the aircraft and the ground surface is divided into N layers, the distance between every two adjacent layers is calculated, and then the light refraction angle of each atmosphere layer is obtained through solving according to the Snell law; in combination with a Hopfield model of the atmospheric refractive index and an e index joint model, analog calculation of an atmospheric refractive index profile is realized, and then a horizontal distance between two adjacent atmospheric layers on a light propagation path is solved; and finally, combining the vertical distance from the aircraft to the earth surface to calculate an included angle between a connecting line from the aircraft to the real position of the ground object and a geocentric vertical line, namely a real elevation angle, thereby analyzing the real elevation angle to solve an elevation angle error and a distance error. According to the invention, the elevation angle error and distance error of the aircraft caused by atmospheric refraction can be corrected, so that the method can be applied to accurate identification and positioning of an observed target.

The synchronous orbit middle wave infrared catadioptric passive athermalization high-resolution remote sensing camera disclosed by the application belongs to the field of infrared earth remote sensing observation. The application is a synchronous orbit middle wave infrared catadioptric passive athermalization high-resolution space remote sensing camera, which comprises a Cassegrain double-reflection system, a rear six-piece spherical lens group, a field stop piece, a light path folding mirror, a cold stop and a detector. The application can obtain a large single scene wide ground pixel resolution space remote sensing camera image, and simultaneously realizes compensation for system thermal defocusing, passive athermalization imaging and correction of chromatic aberration in the infrared optical system by distributing the positive and negative focal lengths of the lenses in the infrared optical system. The passive athermalization imaging makes the system structure simple, and the thermal aberration correction in a wide temperature range can be realized without complex moving parts. The application has the advantages of high spatial resolution, wide coverage, all-day work, wide temperature working range and small chromatic aberration.

The invention discloses an optical remote sensing image automobile detection method based on YOLOV8, and belongs to the field of remote sensing image recognition and target detection. The method comprises the following steps: 1, acquiring an automobile image by adopting a near-earth remote sensing technology; 2, carrying out adaptive cutting on the obtained image so as to carry out further processing; 3, performing data annotation division on the adaptive image; 4, guiding the image obtained in the previous step into a specific format, and making a corresponding data set; 5, establishing an improved YOLOV8 detection model for training; 6, importing the data set into the model for identification and detection; and 7, obtaining a final detection result.

This invention discloses a method for analyzing the uncertainty of full-spectrum hyperspectral Earth remote sensing imaging measurements, comprising the following steps: (1) simulating and calculating the entrance pupil radiance and restored radiance spectral imaging signals of the atmosphere using surface reflectance, surface emissivity, surface temperature, topographic parameters, atmospheric parameters, and imaging system parameters; (2) evaluating the uncertainty of surface reflectance, surface emissivity, and surface temperature; (3) evaluating the uncertainty of topographic parameters per pixel and the correlation coefficient between topographic parameters; (4) evaluating the spectral uncertainty of atmospheric parameters per pixel and the correlation coefficient between atmospheric parameters; (5) constructing an uncertainty propagation model for the radiative transfer link and synthesizing the entrance pupil radiance uncertainty; (6) constructing an uncertainty propagation model for the imaging measurement link and synthesizing the restored radiance uncertainty; (7) analyzing the uncertainty components in the restored radiance and ranking the uncertainty contributions of each link. This invention constructs an uncertainty propagation model for the forward modeling process of hyperspectral remote sensing based on analytical formulas for uncertainty modeling and Monte Carlo distribution propagation. This model can quantify the uncertainty contributions of radiative transfer and imaging measurement, providing technical support for the quantitative application performance analysis and optimization of full-spectrum hyperspectral remote sensing.

The invention relates to the technical field of satellite detection of space targets, in particular to a high-orbit space target detection planning method based on an earth remote sensing satellite through load characteristics and orbit characteristics of the earth remote sensing satellite and orbit characteristics of a high-orbit target. The method is used to generate an imaging opportunity, and the relative angular velocity of a high-orbit space target on a ground remote sensing satellite focal plane is calculated; according to the invention, the brightness of the detected target can be enhanced to realize the detection of targets such as stars, the long arc segment monitoring can be realized to meet the demand of space-based orbit determination for dense measurement, and the method has a wide application scene.