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Multi-band radar image change detection method based on high-order statistical features

A high-order statistical feature, radar image technology, applied in the field of signal processing, can solve the problems of difficult and complex change detection

Active Publication Date: 2022-01-18
XIJING UNIV
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Problems solved by technology

Therefore, the change detection of multi-band SAR images in different phases is more difficult and more complicated than the change detection of single-band

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  • Multi-band radar image change detection method based on high-order statistical features
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  • Multi-band radar image change detection method based on high-order statistical features

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Embodiment Construction

[0079] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0080] refer to figure 1 , a multi-band radar image change detection method based on high-order statistical features, including the following steps:

[0081] Step 1: Input SAR remote sensing images of different time phases;

[0082] Step 2: Preprocessing the SAR image: Perform radiation and geometric correction processing on the input SAR image pairs in different time phases to improve the overall quality of the image and facilitate subsequent processing and information extraction;

[0083] Step 3: filter the SAR image, the specific steps are;

[0084] Step 3.1: Because SAR imaging is coherent imaging, the principle of coherence is selected to filter the SAR image, the purpose is to remove speckle noise while effectively maintaining the edge and geometric detail information; the specific implementation process is as follows, the SAR image is first F...

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Abstract

A multi-band radar image change detection method based on high-order statistical features, first input SAR remote sensing images of different time phases and different bands, then preprocess the SAR images, then filter the SAR images, and then perform two SAR images After normalization processing, the two SAR images are then registered to obtain the high-order statistical feature maps of each image, and then the joint high-order statistical feature maps of the two images are obtained; then a high-order statistical feature difference map is generated, and the high-order statistical feature Generate the detection threshold in the order statistical feature difference map, and then obtain the change information generated by the high-order statistical feature, and then process the high-order joint statistical feature map of the two images, set the threshold, obtain the change information, and obtain the change information for different features Fusion processing is performed, and finally the change information map is output, and the present invention can effectively detect the change information of SAR images of different time phases and different bands.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a multi-band radar image change detection method based on high-order statistical features. Background technique [0002] Synthetic Aperture Radar (hereinafter referred to as SAR) imaging remote sensing is a very important data source. It is an important application direction in the field of remote sensing to obtain change information from SAR images of different time phases. SAR image change detection is similar to ordinary The principle of change detection in optical remote sensing images is the same. First, obtain SAR images of the same area at different times, and then process the two or sequence of SAR images to obtain the dynamic or change information of the monitored area. [0003] At present, the multi-temporal SAR image change detection methods can be summarized into the following five categories: The first category is the direct change detection met...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/00G06T7/33
CPCG06T5/002G06T7/0002G06T7/33G06T2207/10044
Inventor 黄世奇武文胜周美丽林东王祖良张婷段向阳
Owner XIJING UNIV