Ground feature classifying method based on simplified polarization synthetic aperture radar data

A ground object classification and aperture radar technology, applied to radio wave measurement systems, instruments, etc., can solve problems such as the impact of computing efficiency

Inactive Publication Date: 2012-07-04
INST OF ELECTRONICS CHINESE ACAD OF SCI
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Due to the iterative operation required in the full polarization information reconstruction algorithm, the operation...

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  • Ground feature classifying method based on simplified polarization synthetic aperture radar data
  • Ground feature classifying method based on simplified polarization synthetic aperture radar data
  • Ground feature classifying method based on simplified polarization synthetic aperture radar data

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Embodiment Construction

[0062] In the following, with reference to the accompanying drawings, detailed descriptions of the various details involved in the ground object classification method based on the reduced polarization synthetic aperture radar data of the present invention are described in detail. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, and do not have any limiting effect on it.

[0063] The reduced polarization synthetic aperture radar system is still under study, and there is currently a lack of actual reduced polarization data sources. The data used in the example of the present invention is simulation data obtained from full polarization data through polarization basis transformation. reference figure 1 , The fully polarized synthetic aperture radar uses orthogonal horizontal polarization (H) and vertical polarization (V) waves to transmit and receive. The collected radar signals under four polarization stat...

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Abstract

The invention discloses a ground feature classifying method based on simplified polarization synthetic aperture radar data, which relates to the synthetic aperture radar remote sensing information processing technology. The ground feature classifying method includes steps: a) obtaining Stokes parameters after filtering; b) extracting characteristic parameters including polarizability m, relative phase difference delta among orthogonal channels and total polarization power span for showing scattering mechanisms; c) calculating power ingredients corresponding to the basic scattering mechanisms, and determining main scattering mechanisms of pixels and dividing data into three types of pixels with identical scattering characteristics; d) further dividing each type of pixels with identical scattering characteristics into a plurality of types of pixels with equal sample numbers by the aid of the span; and e) realizing iterative Wishart classification. The ground feature classifying method is simple in principle and convenient in calculation, and can be used for analyzing and classifying ground feature scattering characteristics.

Description

Technical field [0001] The invention relates to the technical field of synthetic aperture radar remote sensing information processing, in particular to a method for ground object classification based on simplified polarized synthetic aperture radar data. Background technique [0002] Reduced polarization is a new concept in the field of multi-polarization synthetic aperture radar. Simplified Polarization Synthetic Aperture Radar only emits a specially designed polarized wave and receives two orthogonal polarized waves respectively. The reduced polarization technology reduces the pulse repetition frequency of the polarized synthetic aperture radar, which can expand the imaging bandwidth while avoiding distance blur and maintaining the resolution, reducing the number of polarization data receiving channels, and reducing the amount of downlink data. The calibration of the radar system also has unique advantages, which is especially suitable for the applications of spaceborne synthe...

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Application Information

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IPC IPC(8): G01S7/41
Inventor 洪文陈琳李洋曹芳
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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