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Method and device for mosaicing urban remote sensing images based on segmented affine transformation model

A technology for transforming models and remote sensing images, applied in the field of remote sensing image processing, can solve problems such as the inability to accurately reflect the positional relationship of adjacent CCD images and the difficulty in ensuring the stitching accuracy of multi-line CCD images, so as to avoid unreasonable segmentation and ensure accuracy. Effect

Active Publication Date: 2021-03-30
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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Problems solved by technology

[0004] The above methods basically use the segmented affine transformation model to complete the splicing of adjacent images, but the segmented methods do not carry out quantitative and refined processing according to the specific changes in the offset between slices, and cannot accurately reflect the adjacent CCD images. Therefore, it is difficult to ensure the stitching accuracy of multi-line array CCD images

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  • Method and device for mosaicing urban remote sensing images based on segmented affine transformation model
  • Method and device for mosaicing urban remote sensing images based on segmented affine transformation model

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[0066] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the invention.

[0067] Reference will now be made in detail to embodiments of the invention, examples of which are illustrated in the accompanying drawings. The suffixes "module" and "unit" of elements are used here for convenience of description, and thus may be used interchangeably without any distinguishable meaning or function.

[0068] Although all elements or units constituting an embodiment of the present invention are described as being incorporated into a single element or operated as a single element or unit, the present invention is not necessarily limited to such an embodiment. According to ...

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Abstract

The present invention provides a city remote sensing image stitching method based on the improvement of segmented imitation transformation models.This method For the urban remote sensing images obtained by the star -load non -co -line multi -line CCD camera, first use a normalized image matching algorithm to obtain the dense matching point of the image overlap area, and remove the error matching point in it.The relative position relationship between the film is the same as the point of the same name; then convert the coordinate position relationship of the same name point in the overlapping area into the offset curve of the film, and the overall change trend and local changes are segmented according to the overall changes and local changes of the offset curve between the film to ensure that each timeThe curve within the segment is approximately linear; finally, the corresponding images are segmented according to the segment results of the offset curve, and the imitation transformation model between images is established in each segment.Stitching of adjacent images.So as to solve the problem of urban remote sensing image stitching obtained by non -co -line multi -line CCD cameras.

Description

technical field [0001] This patent relates to a method for mosaicing urban remote sensing images based on a segmented affine transformation model, which belongs to the field of remote sensing image processing. Background technique [0002] Non-collinear multi-line array CCD cameras are widely carried on remote sensing satellites due to their advantages of high resolution and high width, and the images they form play a huge role in urban planning, urban building extraction, urban natural disaster monitoring, etc. . [0003] The non-collinear multi-linear array CCD remote sensing image is composed of multiple sub-images that are mutually dislocated, so they must be spliced ​​to form a seamless complete image before application. The relative position relationship between adjacent sub-images will change with the change of satellite attitude and the fluctuation of surface elevation, and the change is irregular, which can be clearly seen from the inter-slice offset curve. Theref...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40G06T3/00G06T5/40G06T7/33G06K9/62
CPCG06T3/4038G06T5/40G06T7/344G06T2200/32G06T2207/20021G06T2207/10032G06F18/23G06T3/02
Inventor 李毅徐斌满青珊沈自然陈思杨砚世刘佳瑶
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP