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Multi-temporal remote sensing image change detection method based on fusion strategy and FCM

A remote sensing image and change detection technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of low change detection accuracy of multi-temporal high-resolution multi-spectral remote sensing images

Inactive Publication Date: 2017-02-08
HOHAI UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a multi-temporal remote sensing image change detection method based on fusion strategy and FCM, which solves the problem of low detection accuracy of multi-temporal high-resolution multi-spectral remote sensing image changes

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  • Multi-temporal remote sensing image change detection method based on fusion strategy and FCM

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Embodiment Construction

[0034] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0035] In view of the complex background information and serious noise interference of multi-temporal multi-spectral remote sensing images, the problems faced by change detection are difficult to solve by conventional change detection methods. In the present invention, the detection range is divided into a definite area and an undetermined area by combining the Magnitudes of Change Vectors (MCV) of the multi-temporal remote sensing images and the multi-temporal Spectral Angle Mapper (SAM). In the non-determined area, the magnitude of the change vector and the information of SAM are fused based on fuzzy partition matrix addition. Finally, the final change detecti...

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Abstract

The invention discloses a multi-temporal remote sensing images change detection method based on fusion strategy and FCM, and the method comprises the steps: a detection range can be divided into a determined region and an undetermined region according to a change vector amplitude of multi-temporal remote sensing images and a multi-temporal spectral angle map; in the undetermined region, the change vector amplitude and SAM information are fused based on fuzzy division matrix addition; results of the determined region and the undetermined region are combined to obtain a final change detection result; wherein a fuzzy index in an FCM objective function in the undetermined region can be selected according to conflict indexes of MCV and SAM in the undetermined region to obtain a change detection result which is more stable and has higher precision than before. According to the invention, the change detection region is divided into the determined region and the undetermined region, detection results of two regions can be separately acquired through adopting a fusion strategy, so that the change detection results can be more reliable and more stable than before.

Description

technical field [0001] The invention relates to a multi-temporal optical remote sensing image change detection method, in particular to a multi-temporal remote sensing image change detection method based on a fusion strategy and FCM, and belongs to the technical field of remote sensing image processing. Background technique [0002] With the continuous accumulation of multi-temporal remote sensing data and the successive establishment of spatial databases, how to extract and detect change information from these remote sensing data has become an important research topic in remote sensing science and geographic information science. According to remote sensing images of different time phases in the same area, dynamic information such as cities and environments can be extracted to provide scientific decision-making basis for resource management and planning, environmental protection and other departments. [0003] Change detection of remote sensing images is to quantitatively an...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/30G06K9/62
CPCG06T2207/10032G06T2207/30181G06F18/23213
Inventor 石爱业储艳丽
Owner HOHAI UNIV
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