96 results about "Orthophotomap" patented technology

Automatic conflation systems and techniques which provide vector-imagery conflation and map-imagery conflation. Vector-imagery conflation is an efficient approach that exploits knowledge from multiple data sources to identify a set of accurate control points. Vector-imagery conflation provides automatic and accurate alignment of various vector datasets and imagery, and is appropriate for GIS applications, for example, requiring alignment of vector data and imagery over large geographical regions. Map-imagery conflation utilizes common vector datasets as “glue” to automatically integrate street maps with imagery. This approach provides automatic, accurate, and intelligent images that combine the visual appeal and accuracy of imagery with the detailed attribution information often contained in such diverse maps. Both conflation approaches are applicable for GIS applications requiring, for example, alignment of vector data, raster maps, and imagery. If desired, the conflated data generated by such systems may be retrieved on-demand.

The invention discloses a three-dimensional optimizing route selection method based on an airborne laser radar. The method comprises the following steps of: carrying out flight design according to a feasible route of a line, and acquiring flight field data by the laser radar according to design parameters; carrying out united computation on laser ranging data and POS system positioning data to obtain laser point cloud data through pre-processing the data; post-processing the data to obtain a point cloud classification map, a digital elevation model (DEM), a digital surface model (DSM), a contour line and a digital orthoimage map (DOM); importing into a three-dimensional optimizing route selection system, selecting a line route, checking peripheral landform of a line corridor, and carrying out optimization design on the line; combining with a three-dimensional image and a plane section, carrying out operations of pre-arranging poles and arranging poles in a route selection software, and outputting an image route diagram; and drawing the plane section of the route, and carrying out alignment survey. The method utilizes the section view and the orthoimage in the three-dimensional optimizing route selection system to realize the operations of pre-arranging the poles and arranging the poles, so as to generate a plane section diagram needed by power industry department, and the operation efficiency of route selection is improved.

The invention discloses a multi-angle unmanned aerial survey system. The multi-angle unmanned aerial survey system is provided with a six-rotor-wing unmanned aerial vehicle, and each multi-view-angle inclined camera composed of five camera lenses is carried on the six-rotor-wing unmanned aerial vehicle. Each multi-view-angle inclined camera comprises a shooting unit, a controlling unit and a hanging unit. The six-rotor-wing unmanned aerial vehicle comprises an unmanned aerial vehicle flying platform system, a GPS, a flying controlling system, a remote sensing shooting system, a ground controlling system and a signal transmitting system. Ground images can be collected at the same time at multiple angles, in this way, the defect that according to a traditional aerial photography technology, shooting can be performed only at a vertical angle is overcome, the actual conditions of a ground feature can be reflected more really, and the defects in orthophotography are overcome; through integrating POS data, DSM data, vectors and others, a three-dimensional model establishing technology based on image intensive matching is established, a digital city model is rapidly and efficiently established, and therefore the working cost for three-dimensional model establishing is greatly lowered.

The invention relates to a satellite image three-dimensional area network adjustment method based on satellite-borne laser height measurement data. The method comprises the following steps: respectively acquiring first control data and second control data corresponding to a connection point from a first control data source and a second control source; carrying out combined three-dimensional adjustment treatment for the first control data and second control data on the basis of a remote-sensing three-dimensional imaging model, acquiring a parameter correction value of the remote-sensing three-dimensional imaging model, wherein acquiring the first control data and the second control data includes acquiring a plane coordinate of the satellite-borne laser height measurement data; mapping the plane coordinate of the satellite-borne laser height measurement data to a satellite remote-sensing digital orthographic image, and acquiring a footprint image; forming second control data by the satellite-borne laser height measurement data and the footprint image or partial plane control data of the footprint image; acquiring homonymy points of a given quantity in the range of the footprint image or part of the footprint image as connection points, and using the control data of the homonymy points as first control data.

The invention provides a method for rapidly constructing a three-dimensional building scene through an actual projective image, which concretely comprises following steps of: firstly, extracting the top surface of a building through the actual projective image, obtaining a plane vector diagram, and simultaneously obtaining a vector plane coordinate; secondly, respectively carrying out building top surface triangularization process and ground polygonal triangularization process for the plane vector diagram obtained from the first step and generating a building model and a ground model through combining digital surface model data and digital height model data; thirdly, combining the building model and the ground model to form a three-dimensional scene model; fourthly, carrying out veining mapping superposition for the three-dimensional scene model and the actual projective image and generating the three-dimensional building scene. The method accelerates the modeling speed of the three-dimensional building scene and reduces the manual operation time of modeling mapping design. When the method is used, once modeling and vein mapping can be carried out to a specific zone; true and effective three-dimensional visual effect is obtained; and the working capacity of scene modeling is greatly lowered.

Systems, apparatuses, and methods are provided for refining an aerial image. A plurality of aerial images is received using a processor. The plurality of aerial images is developed into a three-dimensional model. The three-dimensional model is synthesized into an improved orthophoto image. The improved orthophoto image may be stored on a personal computer or workstation as a reference platform.

The invention discloses a calculation method for large spatial scale vegetation coverage by combining with an unmanned aerial vehicle (UAV) image. The calculation method comprises the following steps: carrying out atmospheric correction and geometrical correction on a remote sensing image, calculating NDVI (Normalized Difference Vegetation Index) and obtaining an effective region according to a predetermined threshold value; splicing UAV pictures and obtaining an orthoimage, registering satellite data subjected to geometrical correction with the spatial position, selecting a typical sample area from the UAV image, and interpreting proportions of all ground objects in the typical sample area by using unsupervised classification; randomly selecting one part of the sample area, and solving the reflectivity of all ground object end elements by using the proportions of all the ground objects in the sample area and the corresponding satellite remote sensing band reflectivity and combining with a least square method; solving the vegetation coverage of all pixels in the effective image area by using a spectral decomposition model and the reflectivity of all the ground object end element; correcting calculation results of the vegetation coverage by using data of a residual sample area. The core of the calculation method disclosed by the invention is based on a method of acquiring the end-element reflectivity of the UAV and a vegetation coverage correction model, and the calculation accuracy of the large spatial scale vegetation coverage can be effectively improved.

The invention relates to a landslide emergency treatment engineering exploration design method based on remote sensing assistance of a small unmanned aerial vehicle. The method is characterized by comprising the following steps: rapidly acquiring a high-definition picture of a landslide engineering region in field by using a small unmanned aerial vehicle remote sensing system; generating an orthophoto remote sensing result of the landslide engineering region through digital photogrammetry software processing; making a large-scale line global map by using the orthophoto remote sensing result; carrying out indoor visual auxiliary engineering geological investigation based on an orthophoto and a three-dimensional model; programming a visual conventional engineering geological map according to an on-site engineering geological investigation result; carrying out an auxiliary treatment engineering design based on the visual engineering geological map; programming a visual and conventional landslide emergency treatment engineering design plane map.

The invention discloses a road survey and design method based on a high-resolution satellite image, which comprises the following steps: A, determining a scope to be covered by a satellite image according to a route scheme, selecting a high-resolution satellite and a sensor for collection, and designing and collecting three-dimensional images of the high-resolution satellite; B, when a scale of 1 to 2,000 is formed, laying and measuring field ground control points and laying control points along the route; C, generating a digital ground model, a digital orthophotomap and a digital line topographic map for the road route area through area adjustment of the three-dimensional images of the high-resolution satellite based on rational polynomial parameters of the images of the high-resolution satellite; and D, calculating engineering quantities and generating route design drawings and tables through measurement of the high-resolution satellite and collaborative design of the road CAD. The invention realizes the measurement of the high-resolution satellite and the collaborative design of the road CAD, thereby greatly reducing the field workload, shortening the survey and design period, and producing significant economic and social benefits.

The invention discloses a method of extracting a three-dimensional axis of a tunnel based on a minimum bounding box algorithm. The method comprises the following steps of: extracting point cloud slices of a lining ring by virtue of the minimum bounding box algorithm of the tunnel with variable-angle step length; then, fitting the extracted point cloud slices according to an oval or circular model to solve coordinates of a center, and performing smoothing processing on the tunnel axis by adopting a horizontal-curve second-order continuous and a longitudinal-curve second-order continuous method; and finally, obtaining high-precision three-dimensional central axis of the tunnel. The method disclosed by the invention has the advantages that the three-dimensional axis of a single targe structure is automatically extracted by utilizing three-dimensional laser scanning original-point cloud data based on the minimum bounding box algorithm; the method is high in precision, high in speed, and capable of being used in tunnel axis detection, diameter convergence extraction, production of orthoimages, and the like. Besides, the defect that the tunnel design axis or actually measured axis is needed to be pre-input in the conventional processing method can be avoided, so that the automation degree of the data processing is greatly improved.

The invention discloses a remote-sensing image mapping process. The process comprises the following steps: firstly, acquiring data sources; secondly, carrying out control survey on field pictures; thirdly, carrying out interior work aerial triangulation; fourthly, acquiring DEM data, and editing DEM data sets; fifthly, manufacturing a DOM (digital orthophoto map); sixthly, carrying out field electronic plotting, namely carrying out field plotting by an electronic plotting system so as to obtain a two-dimensional electronic plotting map, and moreover, carrying out on-site supplementary survey on surface features which need field supplementary survey in a measured area; seventhly, carrying out three-dimensional treatment on electronic plotted maps, namely adding the DEM data in the two-dimensional electronic plotting map according to the DEM data sets, and adding the on-site supplementary survey data so as to obtain a three-dimensional electronic plotting map; eighthly, amending data; ninthly, manufacturing a DLG (digital line graphic); and tenthly, storing data into a base as well as outputting 3D products. The method provided by the invention is simple in step, reasonable in design and convenient to implement, has a good using effect, and can simply, conveniently and rapidly complete the mapping process of remote sensing images.

A method for rigorously reshaping a pair of overlapping digital images using a Digital Photogrammetric Workstation (DPW) is disclosed. The overlapping images are imported into the DPW as a pair of originally distorted images having an associated sensor model. The original images are triangulated to adjust sensor parameters. Orthophotos are created with a flat digital terrain matrix (DTM) to leave terrain displacements within themselves, and according to a sensor model and formula for exact projective computations. The orthophotos are aligned by rotation, and interior orientation coordinates of the equivalent vertical frame images are determined. The orthophotos are imported as a pair of overlapping equivalent vertical frame images according to the interior orientation coordinates. A digital terrain model is generated in the DPW using the overlapping equivalent vertical frame images. Another orthophoto is produced using the digital terrain model to remove the measured terrain displacements. In an alternative embodiment, the equivalent vertical frame images are aligned by using the classical pair-wise rectification method or by separately rotating each image without aligning the orthophotos by rotation during their creation. In each embodiment, the sensor model of the original distorted images is dissociated from the orthophotos for subsequently greater distribution and usage of the stereo imagery.

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) block adjustment interferometric parameter calibration and control point densification method. The method comprises the following steps of: (1) acquiring untwisting results of all interferometric figures; (2) resolving orbital parameters, baseline parameters and interferometric phase offsets by adopting a block adjustment method according to the acquired interference figure untwisting results by utilizing homonymic connecting points in an image overlay region and ground control points within an image coverage range and encrypting the control points used for interferometric processing; and (3) reconstructing a DEM (Dynamic Effect Model) and manufacturing an orthophotomap. In the method, the block adjustment method is used for carrying out the interferometric parameter calibration of large-area multi-set InSAR data, which can effectively reduce the quantity of the ground control points required by the interferometric parameter calibration of the large-area multi-set InSAR data, improve the property of the interferometric parameter calibration, reduce the difference of inversion elevations at overedging parts of different interferometric data, improve the whole consistency and continuity of acquiring the DEM and the orthophotomap and encrypt out a large quantity of ground control points used for the interferometric processing.

The invention discloses a rapid modeling method of urban blocks based on image sequences. The method comprises six steps: firstly, horizontal contour information of buildings is extracted from the top views of aerial photographing images or urban planning maps, and side elevation image sequences are acquired by a camera and the positions of the camera at each photographing moment and the directions of lens are recorded; secondly, the correspondence between segments of the horizontal contour lines of the buildings and the image sequences of the side elevations of the buildings are defined, and the image sequences of the side elevations of the buildings are utilized to generate positive projection images of the side elevations of the buildings, and then the side elevation contour lines are defined on the positive projection images and the height of the side elevations of the buildings is calculated, and finally a complete three-dimension model is obtained by integrating geometrical and textile information of the horizontal contour lines of and the side elevation contour lines of the buildings. Aims at overcoming the shortcomings of the prior art, the method of the invention proposes the urban modeling method integrating the top views and the image sequences of the side elevations of the buildings; the method of the invention needs no special expensive hardware equipment, and the interaction manner is simple and the data collecting manner is rather convenient.

The invention discloses a flood model building and dynamic displaying method based on BIM and a three-dimensional live-action model. A three-dimensional design platform, a geographic information platform, a hydrodynamic modeling platform and a three-dimensional live-action modeling platform are subjected to cross-platform technological fusion, the three-dimensional live-action model is applied tobuild a high-precision flood model, and three-dimensional dynamic displaying is performed. The method includes: 1, producing the three-dimensional live-action model, a DEM and an orthoimage; 2, building a flood analysis model and calculating; 3, exporting and converting a flood calculation result; 4, integrating the live-action model, a BIM design model and the flood calculation result; 5, three-dimensionally and dynamically displaying a flood result. Cross-platform technological fusion is performed on the three-dimensional design platform, the geographic information platform, the hydrodynamicmodeling platform and a three-dimensional visual rendering platform, the flood model is built on the basis of live-action model data generated by inclined photographing of an unmanned aerial vehicleand overlaid with the live-action model for three-dimensional dynamic display of flood, so that accuracy of the flood model is improved substantially.

The invention discloses a method for determining automatically mosaic line of orthophoto and performing automatic seamless mosaic of orthophoto, including selecting the optimum route to evade obstacle area in a difference image using the positive feedback of ant algorithm and elicitation type search characteristic of swarm intelligence; obtaining the mosaic lines of two orthophotoes to be spliced, performing mosaic fusion to the orthophoto pairs using the mosaic lines, thereby implementing the automatic seamless mosaic of orthophoto. The method which determines automatically the position of mosaic lines in the orthophoto mosaic process is capable of improving greatly the production efficiency of orthophoto map in mapping industry by replacing the prior method for determining or modifying mosaic lines manually, in which the mosaic lines evades automatically ground feature higher than the ground, such as houses, crown of trees, and the like, and evades the areas with large contrast of imaging colors in adjacent orthophoto maps.

The invention relates to a system for manufacturing a road digital orthophoto map, belonging to the plotting technical field. The system comprises a vehicle-mounted sensing module, a data fusion module and an image processing module, wherein the vehicle-mounted sensing module is connected with the data fusion module to transmit vehicle body positioning information, the image processing module is connected with the vehicle-mounted sensing module to transmit road information, and the data fusion module is connected with the image processing module to transmit real-time positioning information of the vehicle body. The system greatly improves the freshness of the road digital photo map, reduces the collecting cost of the digital photo map, relieves the safe limit for manufacturing the road digital photo map, civilianizes the manufacturing process of the digital photo map, and enables more enterprises to selectively manufacture the digital photo map meeting their own requirements.

The present invention discloses an unmanned aerial vehicle (UAV) motion target tracking and positioning method under geographic information space-time constraint. The method comprises the steps of: acquiring angle elements of exterior orientation and line elements of exterior orientation of an aerophotograph according to UAV POS data; conducting geometric correction on the aerophotograph by combination with the altitude data to obtain an orthoimage; conducting accurate rectification on the orthoimage by using a basic image in a basic geographic information database, so as to obtain the mapping relation of the geometric correction coordinate and the geographic coordinate of the orthoimage; selecting a target to be tracked namely an initial target on a first frame of the orthoimage; tracking the target frame by frame on an orthoimage sequence; and splicing the orthoimage sequence and displaying a motion trajectory of the target. The invention increases the precision and reliability of tracking and ensures the stability of target tracking.

The method for generating measurable seamless space stereo model by utilizing projection function includes steps: according to the direction along the air strips sequentially numbering aerophotographs; utilizing digital ground model, using odd umber photographs of 1,3,5...... photographs to make orthogonal image; utilizing digital ground model, using even number photographs of 2,4,6...... photographs to make auxiliary film of orthogonal image, according to ground coordinate inlaying the above-mentioned orthogonal image into a seamless zone, at the same time recording the zone range of every digital orthogonal image in inlaided digital orthogonal image; point-to-point to construct the measurable seamless stereo model.

The invention discloses a three-dimensional landmark selection and reference map preparation method for front-view navigation guidance of an aircraft, which specifically comprises the following steps: firstly carrying out scene analysis by combining preset track parameters and utilizing a digital orthophoto map (DOM), preliminarily determining the type of a target background material and three-dimensional landmarks which are possible to occur on a track, then utilizing a digital surface model (DSM) for simulating a flight scene on the present track, analyzing the blocking situation of a target and the three-dimensional landmarks, verifying and determining the three-dimensional landmarks used for navigation on the track according to the selection criteria of the three-dimensional landmarks, making a multi-view point and multi-scale optical feature map of the landmarks, calculating relevant parameters of all the landmarks and preparing a corresponding reference map with the parameters. The method can effectively select the three-dimensional landmarks required for navigation guidance according to reference data and prepare the reference map with the parameters under the situation that the flight destination is blocked or lack of significance, thereby providing effective navigation information and support guarantee for the navigation guidance.

The invention discloses a silt tidal flat topography evolution method based on an oblique photographing three-dimensional reconstruction technology. The silt tidal flat topography evolution method comprises the following steps: planning an air route of an unmanned aerial vehicle in a target measurement region of a tidal flat and distributing and uniformly driving positioning piles in the region; fixing a flying disc on the piles to be used as a control point; carrying out static data acquisition on the control point by adopting a GPS (Global Positioning System); acquiring aerial photographs ofthe region by utilizing the unmanned aerial vehicle; generating a point cloud and an ortho-image of the region through the photographs photographed by the unmanned aerial vehicle by utilizing three-dimensional modeling software; identifying a water ponding region from the ortho-image and eliminating the water ponding region from point cloud data; coupling acquired static data into the processed point cloud data and establishing a three-dimensional model of the region, so as to obtain tidal flat elevation information of the region; verifying model errors by utilizing a Rod-SET system; carryingout periodic monitoring modeling on the same region, so as to monitor scour and silting evolution of the region. The silt tidal flat topography evolution method disclosed by the invention has the beneficial effect that the elevation precision of topography measurement reaches a centimeter grade.

The invention discloses an open-pit mine production dispatching commanding method based on a drone, the method is as follows: firstly using an aerial survey drone to perform orthophoto image acquisition of an open pit mine, and then performing image analysis by an aerial triangle analysis method to convert a series of two dimensional aerial images into three-dimensional dense point cloud of the whole open pit mine, performing specialized data post-processing to obtain a digital line map and a digital surface model of the open pit mine, performing three-dimensional modeling and production planning design of the open pit mine, and performing real-time inspection of the open pit mine based on the digital surface model to master production execution data of the open pit mine; then based on comparison of the three-dimensional planning design and the production execution data of the open pit mine, researching and releasing production scheduling instructions, checking the execution effect ofthe scheduling instructions, and correcting errors. The open-pit mine production dispatching commanding method has the characteristics of combination of thickness and thickness, timeliness and high efficiency of dispatching commanding and has the functions of self-checking correction and continuous improvement of management level.

The invention relates to a park structure extraction method based on LiDAR data and ortho-images. The method comprises the following steps of: dividing a park into a vacancy region and a non-vacancy region by virtue of the LiDAR data, generating a central axis of a vehicle surface patch in the non-vacancy region from the LiDAR data, and acquiring parking lines of the park in the vacancy region from ortho-image data; registering the vehicle center axis in the non-vacancy region and the parking lines in the vacancy region, and dividing parking lanes along a maximum intersection direction of the vehicle center axis and the parking lines; and calculating park structure parameters, and generating dividing lines of the parking lanes, thus finishing the extraction of the park structure. The park structure extraction method can be used for solving the problems of illumination variation, shadow effect, perspective distortion, vehicle covering and the like in the park structure extracting process, and extracting the park structure accurately and precisely.

The invention provides a true-orthophotomap making method oriented to large-scale production. The method comprises the following steps of: S1) data source processing: preprocessing the acquired digital surface model and remote sensing image; S2) occlusion detection: detecting the region occluded by buildings; S3) occlusion restoration: restoring the detected occluded region according to the visibility of multiple overlapped images, and obtaining the orthophotomap; S4)image mosaicking: combining multiple neighboring orthophotomaps obtained in the step S3 in a mosaicking manner, toning, and obtaining the true-orthophotomap. The method is efficient, quick, accurate and steady, and has wide adaptive range.

The invention discloses a multi-stage nine-grid locating method of spatial information. Firstly, figure orthophotoquad in the target area is made; basic grid partition for the target area is carried out, and then multi-stage nine-grid is drawn in an overlapped mode in the target area, and is respectively called the basic grid, the first-stage nine-grid, the second-stage nine-grid, the third-stage nine-grid and so forth; the nine-grid takes the basic grid as the initial grid, and multi-stage partition is carried out on the basic grid to form each-stage sub-grid; a multi-stage nine-grid code is composed of each-stage nine-grid code where sub-grids are positioned, and certain geographic element or event spatial location in the target area is determined by a grid code; at last, mutual conversion relationship of nine-grid code and space coordinate is established so as to realize multi-stage nine-grid locating of spatial information. The invention has simple code for representing geographic element or event spatial location, is in accordance with location judgment habit of people, ensures information collection to be more convenient and quicker, greatly improves work efficiency and saves cost.

The invention relates to the technical field of highway geological disaster identification, and discloses an unmanned aerial vehicle image highway geological disaster identification method based on pre-training DCNN, which comprises the following steps: S1, acquiring an unmanned aerial vehicle remote sensing image in a highway domain range, and preprocessing the unmanned aerial vehicle remote sensing image to obtain an absolutely oriented ortho-image; S2, segmenting the preprocessed unmanned aerial vehicle remote sensing image by adopting a mean shift algorithm considering image texture features; and S3, taking the segmented unmanned aerial vehicle remote sensing image data as input data, and applying the input data to the trained highway geological disaster identification model to obtaina highway geological disaster identification result. The unmanned aerial vehicle high-resolution image is adopted, the image is segmented based on the mean shift algorithm considering the texture characteristics, the segmented image unit serves as input data of the geological disaster recognition model, so the efficiency of existing geological disaster visual interpretation can be effectively improved, and data support is provided for highway field investigation and disaster risk evaluation.

The invention discloses a method for quickly obtaining and measuring an orthophotoquad of a city skyline contour line facede. The method comprises the following steps of: shooting a local image of the city skyline contour line facede hop by hop by a camera with a coordinate obtaining device, and recording the coordinate direction and the lens orientation of the camera at each shooting time; obtaining the horizontal distance between each shooting point and an object to be shot; building a geometric mapping relationship between each shooting point and the object to be shot to generate the orthophotoquad of the city skyline contour line facede; and outputting measurement data of the orthophotoquad of the city skyline contour line facede in combination with the city skyline contour line facede and the orthophotoquad of the city skyline contour line facede. After the method is used, the image distortion error caused by the conventional technology can be reduced, and the measurement precision can be improved.

The invention discloses an InSAR image processing method and device based on a deep learning algorithm. The method comprises: using a low-precision digital elevation model (DEM) to simulate a synthetic aperture radar SAR image, registering the simulated SAR image with an actual SAR image, and establishing a correspondence between the low-precision DEM and the actual SAR image; performing interferogram simulation by utilizing a low-precision DEM based on the corresponding relation, and dividing the actually acquired interferogram from the simulated interferogram to obtain a differential interferogram; processing the differential interferogram, performing phase unwrapping on the differential interferogram according to the simulated interferogram, obtaining the original interferogram, and performing phase unwrapping thereon; performing baseline estimation and interference parameter calibration, reconstructing the DEM, and performing orthophoto production through the reconstructed DEM to obtain an InSAR interferogram; using the depth learning algorithm to train a noise reduction encoder DAE, and performing noise reduction processing on the InSAR interferogram to obtain a high-precisionInSAR image.

The invention discloses a method for treating a texture distortion area of a digital orthoimage. The method comprises the following steps: I, obtaining original measurement data of a measured area; II, determining a ground grid range of the digital orthoimage; III, detecting texture distortion, namely respectively performing texture distortion detection on each grid point on a corrected image of a currently treated aerial photography image through the following processes: 301, determining the direction of projection light; 302, judging texture distortion, namely judging whether other grid points identical to the pixel point to which the current detected point corresponds on an original image exist or not along the determined projection light; if so, judging the currently detected point as a 'texture distortion' point; if not, judging the currently detected point as a 'non-texture-distortion' point; and IV, correcting the image, namely correcting the currently treated aerial photography image according to the result of the texture distortion detection. The method has the advantages of simple steps, reasonable design, high efficiency and good using effect and can be used for solving the problems of low efficiency, poor use effect and the like in the existing orthoimage texture distortion treating method.