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SAR Image Segmentation Method Based on Bhattacharyachian Distance and Texture Pattern Metric

A Bacolod distance and image segmentation technology, applied in the field of image processing, can solve the problem of low segmentation accuracy, achieve the effect of improving accuracy, good statistical similarity, and preventing over-segmentation

Active Publication Date: 2021-11-30
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the defects in the above-mentioned prior art, and propose a SAR image segmentation method based on Bhattacharyachian distance and texture mode measurement, which is used to solve the technical problem of low segmentation accuracy existing in the prior art

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  • SAR Image Segmentation Method Based on Bhattacharyachian Distance and Texture Pattern Metric
  • SAR Image Segmentation Method Based on Bhattacharyachian Distance and Texture Pattern Metric
  • SAR Image Segmentation Method Based on Bhattacharyachian Distance and Texture Pattern Metric

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[0046] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] refer to figure 1 , a SAR image segmentation method based on Bhattacharyachian distance and texture mode measurement, comprising the following steps:

[0048] Step 1) Preprocessing the SAR image:

[0049] Read the SAR image to be segmented with a pixel value of M×N, and convert it to double format to obtain a double format SAR image, where M≥250, N≥250.

[0050] In this embodiment, M=501, N=501, a total of M×N=251001 pixels. Converting to double format can make the calculation accuracy of Bhattacharyian distance higher.

[0051] Step 2) Calculate the Bhattacharyachian distance of each pixel in the double format SAR image:

[0052] Step 2a) Quantize the histogram of the double-format SAR image to obtain a quantized SAR image containing Q gray levels, where Q≥10; the specific implementation steps are:

[0053] (2a1) Calculat...

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Abstract

The present invention proposes a SAR image segmentation method based on Bhattacharyachian distance and texture mode measurement, which is used to solve the technical problem of low segmentation accuracy in the prior art. The implementation steps are to preprocess the SAR image; calculate the double format The Bhattacharyachian distance of each pixel in the SAR image; perform initial segmentation on the double format SAR image; obtain the middle segmentation map Y of the double format SAR image; calculate the statistical similarity measure SSM(Y of the adjacent regions in the middle segmentation map Y r ,Y s ); calculate the texture mode metric TPS(Y r ,Y s ); Calculate the adjacent area Y in Y r and Y s The cost function v(Y r ,Y s ); Obtain the final segmentation map of the SAR image in double format. It can be used in disaster monitoring, earth change research, map drawing, crop growth assessment, glacier distribution observation and other fields.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a SAR image segmentation method, in particular to a SAR image segmentation method based on Bhattacharyachian distance and texture mode measurement, which can be used for disaster monitoring, earth change research, map drawing, crop growth evaluation, Glacier distribution observation and other fields. Background technique [0002] Synthetic Aperture Radar (SAR) is a coherent imaging radar, which has the characteristics of high resolution, all-weather work and penetration of cover, and has become an important means of remote sensing observation. SAR images contain rich target categories. With the continuous expansion of SAR application fields, the requirements for automatic interpretation of SAR images are getting higher and higher, and SAR image segmentation has always been the core problem and difficulty of automatic interpretation. SAR image segmentation technology divid...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/10G06T7/11G06K9/62
CPCG06T7/10G06T7/11G06T2207/10044G06F18/22
Inventor 水鹏朗孙煜贺樊书辰
Owner XIDIAN UNIV
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