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A Polarimetric SAR Image Classification Method Combining Polarimetric Features and Watersheds

A polarization feature and classification method technology, applied in the field of image processing, can solve problems such as deviation, and achieve the effect of improving anti-noise performance, ensuring accuracy, and maintaining homogeneous regions

Active Publication Date: 2017-01-18
XIDIAN UNIV
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  • Application Information

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Problems solved by technology

However, the disadvantage of this method is that the Cloude decomposition can only divide the image into 8 categories and the quadtree decomposition uses a threshold to set the area size, which will deviate from the real target.

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  • A Polarimetric SAR Image Classification Method Combining Polarimetric Features and Watersheds
  • A Polarimetric SAR Image Classification Method Combining Polarimetric Features and Watersheds
  • A Polarimetric SAR Image Classification Method Combining Polarimetric Features and Watersheds

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Embodiment Construction

[0046] Attached below figure 1 The steps of the present invention are further described in detail.

[0047] Step 1. Read in a coherence matrix T of a polarimetric SAR image to be classified.

[0048] Read in each pixel of the polarimetric SAR SAR image, and each pixel is a polarization coherence matrix T containing 9 elements:

[0049] T = 1 2 | S E E + S V V | 2 > 1 2 ...

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Abstract

The invention discloses a polarized SAR image classification method combining a polarization feature and a watershed. The polarized SAR image classification method combining the polarization feature and the watershed comprises the steps that (1) polarized synthetic aperture radar SAR data are read in; (2) a pixel mark is calculated; (3) zoning is carried out; (4) zone marks are calibrated; (5) the sizes of zones are calibrated; (6) the zone marks are updated; (7) colors are distributed, and the final classification result is output. Compared with a threshold value classification method based on zones in the prior art, the polarized SAR image classification method combining the polarization feature and the watershed guarantees the consistency of the zones in the classification result, well keeps the edge information of the different zones in images, resolves the problems that polarized information is not used thoroughly and the zoning is not complete, and can be used for target detection and target identification of a polarized synthetic aperture radar SAR image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a polarization synthetic aperture radar (SAR) image classification method combining polarization features and watersheds in the technical field of polarization synthetic aperture radar (SAR) image classification. The invention can be applied to accurately classify and identify targets in different areas of polarization synthetic aperture radar SAR images. Background technique [0002] Synthetic Aperture Radar SAR image classification is the process of dividing the target or area of ​​interest by analyzing the polarization data. Synthetic Aperture Radar (SAR) image classification is the main component of remote sensing image classification. With the development of radar technology, the research of polarization SAR SAR image classification has been paid more and more attention. Polarization synthetic aperture radar SAR image classification technology has been widely...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46
Inventor 侯彪焦李成寇杏子王爽张向荣马文萍马晶晶
Owner XIDIAN UNIV