SAR (Synthetic Aperture Radar) ship detection optimization method based on variation coefficient method

A coefficient of variation method, a technology for ship detection, which is used in measurement devices, radio wave measurement systems, and radio wave reflection/re-radiation. It can solve problems such as excessive human interference and affecting the accuracy of ship detection results.

Active Publication Date: 2017-05-10
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

Analytic Hierarchy Process is a subjective weight analysis method, mainly based on experience, and human interference factors are too strong, which will affect the accuracy of ship inspection results to a certain extent

Method used

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  • SAR (Synthetic Aperture Radar) ship detection optimization method based on variation coefficient method
  • SAR (Synthetic Aperture Radar) ship detection optimization method based on variation coefficient method
  • SAR (Synthetic Aperture Radar) ship detection optimization method based on variation coefficient method

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Embodiment

[0081] 1. Selection and preprocessing of optimized objects

[0082] The present invention selects the sea area located at 26°5′-26.10° north latitude and 119°46′-119°54′ east longitude in the East China Sea near Fuzhou City, Fujian Province as the experimental area, and the Radarsat-2 high-resolution Imagery (with a spatial resolution of 5 meters, such as figure 1 shown) for detection optimization.

[0083] Since the original image is RAW data, it is necessary to perform focus processing, multi-view processing, image registration, FROST filtering, geocoding, and radiometric calibration processing on the Radarsat-2 high-resolution image of the experimental area to obtain a standard TIFF image, such as figure 2 shown.

[0084] 2. Use the best Shannon entropy double threshold to perform preliminary detection on the preprocessed Radarsat-2 high-resolution image

[0085] The optimal entropy threshold algorithm uses the concept of Shannon entropy in information theory to maximiz...

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Abstract

The invention discloses an SAR (Synthetic Aperture Radar) ship detection optimization method based on a variation coefficient method, which comprises the steps of (1) acquiring a remote sensing image by using a synthetic aperture radar SAR; (2) performing preprocessing on the remote sensing image acquired in the step (1); (3) performing detection and extraction on a ship target in the remote sensing image processed in the step (2) so as to acquire a potential ship target; and (4) performing optimization on the potential ship target detected in the step (3) by using the variation coefficient method and taking a ship length-width ratio, a nuclear density estimated value and the number of target pixels as judgment factors for the ship confidence. The SAR ship detection optimization method is small in calculation amount, wide in application range and small in man-made interference factor, not only can improve the accuracy of a ship detection result, but also can save a lot of computation time, and can also reduce missed detection for a ship target at the image edge at the same time.

Description

technical field [0001] The invention relates to the technical field of radar target recognition, in particular to a SAR ship detection optimization method based on a variation coefficient method. Background technique [0002] As one of the four major contemporary means of transportation, ships play an important role in maritime transportation. Synthetic Aperture Radar (SAR) is a high-resolution imaging radar with all-weather, all-weather and wide-area surveillance capabilities. Due to the different reflection characteristics of radar signals between sea and ship targets, the backscatter coefficient of ship metal is very large, while the backscatter coefficient of ocean is very small. In the SAR image, the ship appears as a bright pixel, while the sea is dark Background, therefore, SAR has become an important technical means for maritime ship monitoring, and plays an important role in maintaining maritime rights and interests and improving coastal defense early warning capab...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G06K9/00
CPCG01S13/90G06V20/13G01S13/9027
Inventor 李强子王红岩王娜杜鑫赵龙才张源
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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