7 results about "Image mosaicking" patented technology

The invention provides a three-dimensional image modeling method and device based on plane data, and the method comprises the steps: carrying out the full-color / multispectral band fusion, bit depth adjustment, thin cloud removal, image enhancement, stripe removal and light and color uniformity of a satellite surveying and mapping image, and achieving the real color recovery of the image; performing splicing preprocessing on the plurality of small orthographic satellite surveying and mapping images after real color recovery, performing image registration on the to-be-registered image and a reference image, performing image geometric correction on the registered image, and performing image mosaic processing on the plurality of images after image geometric correction to obtain a single large-scene image; and three-dimensional image matching, building mask extraction, three-dimensional building modeling and three-dimensional building post-processing are carried out on a single large scene image to obtain a three-dimensional digital surface model, and ground three-dimensional real image modeling is completed. By applying the technical scheme of the invention, the technical problem that the existing two-dimensional surveying and mapping data is difficult to meet the increasing application requirements of three-dimensional scenes is solved.

The present invention provides a remote sensing orthoimage seamline generation method, comprising: constructing constrained triangulation networks in effective intersection areas of adjacent orthoimages one by one; transforming an image topology search problem into a polygon selection problem of a triangle to generate a primary seamline network; and optimizing primary seamlines on the basis of building vector data and road vector data to generate an advanced seamline network. The advanced seamline network generated in the present invention can effectively avoid areas such as buildings and roads, and can achieve large-range image mosaicking, a mosaicking result is independent of the processing sequence, the flexibility and high efficiency are achieved during mosaicking processing, and the accumulation of errors is avoided.

This invention discloses an image mosaicking method based on latitude and longitude grid segmentation constraints, belonging to the field of surveying and remote sensing technology. The method includes: acquiring mosaicking range lines, standard map sheet data, and standard map sheet data containing map sheet row and column boundaries and inner map frame inflection points; generating a minimum rectangular range area for the mosaicking region using the mosaicking range lines; filtering image data to be mosaicked from the standard map sheet data; arranging the map sheet row and column boundaries according to row and column boundaries respectively; calculating the median value of adjacent boundaries; and writing the four extreme values ​​of the minimum rectangular range area for the mosaicking region into the sorting endpoints of the median values ​​of adjacent boundaries to obtain row and column segmentation data; generating intermediate segmentation lines based on the row and column segmentation data; and forming small rectangles by the intersection of the intermediate segmentation lines; converting the inner map frame inflection points within the small rectangles into image point coordinates to generate quarter points. This invention can stably constrain a single image source in the overlapping area under the condition of latitude and longitude grid standard map sheet image expansion and overlap.

This invention relates to an adaptive remote sensing image mosaicking method and system based on semantic understanding, belonging to the field of computer vision technology. The method includes: performing geometrical fine correction on the remote sensing image to be mosaicked, followed by semantic segmentation masking; calculating the fusion cost of pixels within overlapping regions; constructing a graph model using pixels within the overlapping regions as nodes, using the fusion cost as the edge weight between nodes and virtual points, and using the grayscale difference between adjacent nodes as the edge weight between adjacent nodes, to solve for the initial mosaicking line; dividing the overlapping region into multiple uniform sub-regions according to the semantic segmentation mask, adaptively selecting a uniform color algorithm to adjust the pixel values ​​of the remote sensing image to be mosaicked for each uniform color sub-region, obtaining a uniformly adjusted image; constructing a feathered transition region based on the initial mosaicking line, and performing weighted fusion on the uniformly adjusted image; directly mosaicking along the initial mosaicking line in non-transition regions to output a seamless mosaicked image. This invention can preserve spectral physical meaning and has strong adaptability.

The invention discloses a railway line environment multi-mode unmanned aerial vehicle remote sensing data geometric processing method, which comprises the following steps of S1, acquiring images to be matched, and forming a sequence of the images to be matched; acquiring a reference image; s2, carrying out feature point extraction on the to-be-matched image and the reference image, and constructing a high-order multi-dimensional directional feature descriptor; s3, template matching and coarse projection are carried out based on the high-order multi-dimensional directional feature descriptors of the feature points; s4, performing line element extraction and aggregation on the to-be-matched image and the reference image to obtain a corresponding line element set; s5, obtaining a to-be-matched image sequence subjected to orthographic correction through line element matching and fine projection; and S6, taking the to-be-matched image as a newly added image, carrying out incremental image mosaic line rapid calculation and iteration to obtain an optimal mosaic line, and then completing mosaic. According to the method, the coverage rate and the uniformity of the multi-modal matching points are improved; the line element integrity is improved, and the ortho-rectification precision of the multi-mode cross-view-angle unmanned aerial vehicle image is significantly improved.

This invention provides a method, apparatus, electronic device, and storage medium for real-time mosaicking of satellite remote sensing images, relating to the field of remote sensing image processing technology. The method includes: recursively partitioning a satellite remote sensing image dataset based on a normalized partitioning algorithm to obtain multiple association groups; assigning association groups to all association groups to obtain an association group allocation scheme, where the scheme represents the optimal allocation of association groups to cache nodes; loading data using an asynchronous I / O mechanism based on an adaptive bandwidth control strategy according to the association group allocation scheme to obtain the associated image data cached in each cache node; and performing image data registration and stitching on all cached associated image data to obtain the real-time mosaicking result of the satellite remote sensing images. This invention improves the efficiency of satellite remote sensing image mosaicking processing.

The invention relates to a regional hyperspectral remote sensing image mosaic method, system and device and a medium, and belongs to the technical field of remote sensing image processing. The method comprises the following steps: acquiring a geographic range and an image spatial resolution of a target area, and calculating a row number and a column number of an image of the target area and a geographic reference transformation parameter; calculating a geographic center coordinate of each pixel of the target area image to obtain a center coordinate set; retrieving a hyperspectral image file covering the central coordinate set from a preset data pool, and extracting candidate spectral data of corresponding coordinates to form a spectral set; calculating the goodness of fit of the spectrum dominant mineral corresponding to each spectrum in the spectrum set to obtain a goodness of fit array; selecting candidate spectral data corresponding to the maximum goodness of fit, and assigning the candidate spectral data as current pixel data of the target area image; and generating a regional hyperspectral remote sensing mosaic image file based on the geographic reference transformation parameters and the assigned target region image. The method can improve the overall quality of the remote sensing image and the mineral recognition precision.