Parallel and adaptive matching method for acquiring remote sensing images with homogeneously-distributed matched points

An adaptive matching and remote sensing image technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as complex calculations, and achieve the effect of strong application value

Inactive Publication Date: 2012-05-09
CHINESE ACAD OF SURVEYING & MAPPING
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Problems solved by technology

[0010] Non-linear model, also known as non-rigid model or rubber model, can

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  • Parallel and adaptive matching method for acquiring remote sensing images with homogeneously-distributed matched points
  • Parallel and adaptive matching method for acquiring remote sensing images with homogeneously-distributed matched points
  • Parallel and adaptive matching method for acquiring remote sensing images with homogeneously-distributed matched points

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Embodiment Construction

[0028] A preferred embodiment of the present invention is realized by the following steps:

[0029] The first step is to obtain the overlapping areas of remote sensing images to be matched. According to the metafile information of the remote sensing image, the geographical range of the remote sensing image is obtained, and then the geographical range of the two remote sensing images to be matched is compared to obtain the overlapping area, as shown in the attached figure 1 shown;

[0030] The second step is to divide the overlapping area into blocks. In the overlapping area, divide into blocks with a fixed size of 256×256 in order from left to right and from top to bottom, and divide the part of the overlapping area that is less than 256 rows (columns) at the end of the overlapping area into blocks according to the remaining size, as shown in the attached figure 2 shown;

[0031] The third step is to use the SIFT algorithm to match each block in parallel. At this time, the...

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Abstract

The invention provides a parallel and adaptive matching method for acquiring remote sensing images with homogeneously-distributed matched points. The method comprises the following steps of: deblocking overlapped regions of the remote sensing images with different resolutions; parallelly extracting features of matched images aiming at each sub block; during extraction, automatically controlling the logarithmic number of matched points through the classification of a Gaussian image tower with different layers and a Gaussian differential image, so that the homogeneously-distributed matched points of the remote sensing images are parallelly and adaptively acquired, and the matching of the remote sensing images with different resolutions is achieved. The method can realize the parallel and efficient matching of the remote sensing images and can also realize the homogeneous distribution of the matched points.

Description

technical field [0001] The goal of image matching is to construct the best geometric transformation relationship between two or more images. Image matching theory and methods are not only helpful to the analysis of a single image, but also helpful to the comparison and information integration analysis of multiple images. Therefore, image matching is a basic and core topic in the field of digital image processing and remote sensing. Its method has been widely used in remote sensing, map update, medical imaging, computer vision and many other fields. According to different application fields, a variety of matching methods suitable for different needs have been derived. [0002] Aiming at the matching problem of remote sensing images of different resolutions, the invention realizes the parallel adaptive acquisition of evenly distributed matching points of remote sensing images of different resolutions based on the SIFT matching algorithm, and has strong application value. Back...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 宁晓刚孙钰珊谢文寒杨景辉吴宏安张俊辉
Owner CHINESE ACAD OF SURVEYING & MAPPING
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