Method for detecting changes in surrounding environment of water body based on forward and backward heterogeneity of remote sensing images

A remote sensing image and change detection technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of same-spectrum foreign objects, interference, complex distribution of ground objects, etc., and achieve good detection results

Active Publication Date: 2017-11-07
HOHAI UNIV
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Problems solved by technology

High-resolution remote sensing images can provide a wealth of detailed information on ground features, but the distribution of ground features in the surrounding environment of water bodies is complex, and the phenomenon of "same object with different spectrum" and "same spectrum with different objects" is serious, resulting in a lot of interference information
At the same time, due to seasonal water level fluctuations, water quality changes, and vegetation phenological changes, there are many "pseudo-change information" in multi-temporal images, and the detec

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  • Method for detecting changes in surrounding environment of water body based on forward and backward heterogeneity of remote sensing images
  • Method for detecting changes in surrounding environment of water body based on forward and backward heterogeneity of remote sensing images
  • Method for detecting changes in surrounding environment of water body based on forward and backward heterogeneity of remote sensing images

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[0116] Examples 1 and 2 not only include the change information such as the construction and renovation of artificial dams in the boundary area of ​​the reservoir, but also include the change information due to water level fluctuations and other reasons. The "pseudo-change information" mainly comes from the water body of the reservoir itself. Changes in water quality and brightness in the dam area; the main change information in Example 3 is changes in land use information, including the construction of houses and paddy fields, and changes in vegetation phenology and water quality are the main sources of "pseudo-change information". In order to verify the effectiveness of the present invention, various algorithms are used to detect changes in the experimental data, and then the detection results are compared and analyzed.

[0117] In order to verify the effectiveness of the algorithm in this paper, a variety of algorithms are used to detect changes in the experimental data: F...

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Abstract

The invention relates to a method for detecting changes in the surrounding environment of a water body based on the forward and backward heterogeneity of remote sensing images. According to the invention, an SLIC (Simple Linear Iterative Cluster) multi-scale segmentation result of superimposed images is relatively uniform, nearly square ground feature objects can be obtained in regions such as water bodies and vegetation with uniform ground feature distribution, boundary information of ground features in the images are not damaged when regions with complicated ground feature distribution are processed, and the ground feature objects are not be too fragmented, thereby being more in line with true ground feature distribution. In addition, problems are detected through analyzing changes in the surrounding environment of the water body, and a hybrid feature space is built by organically combining spectrum, texture and index features. The method has good effects on processing of pseudo-change information, which shows that the method has good detection effects for pseudo-change information such as water quality changes and vegetation phenological changes.

Description

technical field [0001] The invention relates to a method for detecting changes in the surrounding environment of a water body based on the forward and reverse heterogeneity of remote sensing images, and belongs to the technical field of remote sensing image detection. Background technique [0002] Remote sensing image change detection involves relevant knowledge of multiple disciplines such as geography, information science, and computer science, and is currently a hot research direction in remote sensing image analysis. Remote sensing image change detection refers to the use of image processing, statistical analysis and other technologies to compare remote sensing image data in the same geographical area but different time phases, and point out the location area where the type of ground features changes by analyzing the change information contained in the multi-temporal images. [0003] At present, the research on the change detection technology of remote sensing images mai...

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06T7/30
CPCG06T7/0002G06T7/10G06T7/30G06T2207/10032
Inventor 李士进王声特黄乐平郑展
Owner HOHAI UNIV
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