Watershed algorithm-based high spatial resolution multi-spectral remote sensing image segmentation method

A technology of high spatial resolution and watershed algorithm, applied in image enhancement, image data processing, computing, etc., can solve problems such as slowing down the speed of merging, over-segmentation, and little improvement in merging results
CN101923707AInactive Publication Date: 2010-12-22BEIJING NORMAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
BEIJING NORMAL UNIVERSITY
Publication Date
2010-12-22
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention relates to a watershed algorithm-based high spatial resolution multi-spectral remote sensing image segmentation method, and aims to solve the segmentation problem of a high spatial resolution multi-spectral remote sensing image. The method comprises the following steps of: solving the gradient of the multi-spectral image by using a multi-spectral gradient algorithm to obtain a gradient image, then segmenting the gradient image by using a watershed algorithm, and finally performing region merging according to a merging algorithm by using the similarity between regions to obtain a final segmentation result.
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Description

Technical field:

[0001] The invention belongs to the technical field of remote sensing image processing and image segmentation, and is an image segmentation method based on a watershed algorithm that can process multi-spectral remote sensing images and can eliminate the over-segmentation phenomenon of the watershed algorithm. Background technique:

[0002] The current remote sensing data presents the characteristics of high space, high spectrum and high time resolution. Its types and capacity have reached unprecedented scale. Visual interpretation of massive data has long been recognized as an impossible task, and it must rely on computers to automatically interpret information. . High-resolution images refer to images with a spatial resolution of more than 5 meters. The highly detailed image information and complex texture changes make the phenomenon of different spectra of same objects and same spectra of foreign objects more prominent, which brings great difficulties to the ex...

Claims

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