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Ground object target classification method and apparatus based on polarimetric synthetic aperture radar

An aperture radar, target classification technology, applied in the direction of measurement devices, reflection/re-radiation of radio waves, utilization of re-radiation, etc.

Inactive Publication Date: 2009-08-05
CHINESE ACAD OF SURVEYING & MAPPING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0019] The purpose of the present invention is to solve the problem of how to realize the high-precision classification of ground objects and objects in full-polarization SAR images

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  • Ground object target classification method and apparatus based on polarimetric synthetic aperture radar
  • Ground object target classification method and apparatus based on polarimetric synthetic aperture radar
  • Ground object target classification method and apparatus based on polarimetric synthetic aperture radar

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Embodiment 1

[0038] Image segmentation is the basis of object-oriented analysis techniques. Image segmentation is the process of dividing the entire image area into several non-empty sub-areas (referred to as "patterns" in the present invention), each sub-area is connected, and the same area has the same or similar Properties, where properties can be grayscale, color, texture, etc. Image segmentation restores the spatial shape and combination of the target features in the landscape scene reflected by the image from the two-dimensional pixel (also called pixel) data array. The smallest unit of the segmented image is no longer a single pixel, but a patch.

[0039] The maximum / minimum received power of the target (collectively referred to as the optimal received power) is also an important parameter to characterize the backscattering characteristics of the target. The full polarization image records the backscattering matrix of the target, and the receiving power of the surface object in an...

Embodiment 2

[0054] The main content of the embodiments of the present invention is to propose a new classification and processing method for full-polarization SAR images. This method effectively removes the influence of speckle noise inherent in SAR images through image segmentation technology, makes full use of the rich information contained in full-polarization SAR images through multiple feature parameters, and uses decision trees, a non-parametric classifier, to accommodate Distributed multiple polarization characteristic parameters, thus realizing high-precision classification of full-polarization SAR images.

[0055] As shown in FIG. 3 , it is a flow chart of another ground object classification method based on full polarization synthetic aperture radar according to an embodiment of the present invention. The method includes:

[0056] Step 301, receiving a feedback signal of a ground object, and forming an image of the ground object.

[0057] Step 302, segment the image of the grou...

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Abstract

The invention provides a ground object target classification method and a device based on a full-polarization synthetic aperture radar (SAR). The method comprises the steps of receiving the feedback signal of a ground object target to form an image of the ground object target, partitioning the image of the ground object target to form image blocks, extracting polarization characteristic parameters from the image blocks and classifying the ground object target according to the polarization characteristic parameters. The device comprises an image receiving unit, a partitioning unit, a parameter extracting unit and a classifying unit, wherein the image receiving unit is used for receiving the feedback signal of the ground object target so as to form the image of the ground object target; the partitioning part is used for partitioning the image of the ground object target so as to form the image blocks; the parameter extracting unit is used for extracting the polarization characteristic parameters from the image blocks; and the classifying unit is used for classifying the ground object target according to the polarization characteristic parameters. The invention provides a solution for realizing high-precision classification of the ground object target with full-polarization SAR image.

Description

technical field [0001] The present invention relates to synthetic aperture radar, in particular to a method and device for classifying ground objects based on full polarization synthetic aperture radar. Background technique [0002] Synthetic Aperture Radar (SAR) is the most important earth observation technology developed in the 1950s. It transmits electromagnetic pulse signals at a certain time interval through the radar antenna while moving with the carrier, and receives ground object reflections at different positions. The echo signal is recorded and stored to form a high-resolution image of the ground. Polarization is a fundamental characteristic of electromagnetic waves. Polarimetric SAR transmits electromagnetic pulses of different polarization states through the antenna, such as horizontally polarized waves and vertically polarized waves (usually H means horizontal, V means vertical), and then receives them in different polarization states The echoes reflected by g...

Claims

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Application Information

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IPC IPC(8): G01S13/90G01S7/41
Inventor 张永红张继贤王梁文敬宁晓刚
Owner CHINESE ACAD OF SURVEYING & MAPPING
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