利用结构纹理分解的海洋舰船目标检测

doi:10.3969/j.issn.1001-2400.2012.04.024

Abstract

Abstract:

Based on cartoon-texture decomposition, we propose a scheme for detection of warship targets in optical remote sensing images. First, an image is decomposed into a structure component and a texture component. The structure component contains objects of large sizes such as sea, lands and clouds that possiblly appear, while the texture component contains objects of comparablly small sizes such as warship targets and details of other objects. In order to reduce the influence of the details on the detection of warships in the texture component, we remove the details of lands, clouds and sea from the texture component by using the structural information of these objects. Finally, the ship targets are enhanced by using Gabor filtering. Experimental results and data analysis show that the new algorithm efficiently improves the detection rate and significantly reduces the false rate.

Key words: image processing, warship detection, remote sensing, cartoon-texture decomposition

CLC Number:

TN911.73

WANG Weiwei;XI Dengyan;YANG Gongpeng;ZHOU Lijuan. Warship target detection algorithm based on cartoon-texture decomposition[J].J4, 2012, 39(4): 131-137.

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Warship target detection algorithm based on cartoon-texture decomposition

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