Polarization-texture characteristic and DPL-based polarimetric SAR image classification method

A texture feature and classification method technology, applied in the field of image processing, can solve the problems of complex implementation process, poor regional consistency, long time consumption, etc., and achieve the effect of improving regional consistency, improving classification efficiency, and reducing computing time.
CN106127221AActive Publication Date: 2016-11-16XIDIAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2016-11-16

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Abstract

The invention discloses a polarization-texture characteristic and DPL (Dictionary Pair Learning)-based polarimetric SAR (Synthetic Aperture Radar) image classification method, and mainly solves the problems of long calculation time and low classification efficiency caused by non-comprehensive image information and poor dictionary distinguishing performance in a polarimetric SAR image classification process in the prior art. The method comprises the following specific steps of (1) reading polarimetric SAR images; (2) performing filtering; (3) creating a sample set; (4) performing sparse coding; (5) creating a neighborhood characteristic sample matrix; (6) normalizing the neighborhood characteristic sample matrix; (7) selecting a training sample and a test sample; (8) training a synthetic dictionary and an analytic dictionary; (9) testing the synthetic dictionary and the analytic dictionary; (10) performing coloring; and (11) outputting a classification result graph. The method has the advantages of high classification correctness and high classification efficiency of the polarimetric SAR images.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, and further relates to a polarimetric synthetic aperture radar SAR (Synthetic Aperture Radar) image classification method based on polarization-texture features and dual dictionary learning DPL (Dictionary Pair Learning) in the technical field of target recognition . The present invention can be used for ground object classification of polarimetric SAR images. Background technique

[0002] Synthetic aperture radar is a high-resolution imaging radar. Because microwaves have penetrating properties and are not affected by light intensity, synthetic aperture radars have all-day and all-weather working capabilities. With the development of technology, synthetic aperture radar is gradually developing in the direction of high resolution, multi-polarization and multi-channel. Compared with traditional SAR images, polarimetric SAR can provide more abundant target information, which is benefici...

Claims

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