Combination of Target Detection and Block-matching 3D Filter for Despeckling SAR Images

Author

Hu-Ming Zhu ; Wen-Qian Zhong ; Jiao, L.C.

Author_Institution

Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xian, China

Volume

49

Issue

7

fYear

2013

fDate

March 28 2013

Firstpage

495

Lastpage

497

Abstract

This Letter proposes a combination of target detection and block-matching 3D filter for despeckling SAR images. The proposed method is able to effectively preserve targets, such as the edges and dots of synthetic aperture radar (SAR) images, whilst removing noises. In the first step of our proposed method, based on despekling results of bilateral filtering and edge detection of a canny operator, some targets are detected and removed from an SAR image. The second step uses BM3D for denoising the targets-removed image. Finally, the removed targets are added to the despeckled targets-removed image and desirable results can be achieved.

Keywords

edge detection; filtering theory; image denoising; image matching; object detection; radar detection; radar imaging; synthetic aperture radar; BM3D; bilateral filtering; block-matching 3D filter; canny operator; despeckling SAR images; edge detection; noise removal; synthetic aperture radar images; target detection; targets-removed image denoising;

fLanguage

English

Journal_Title

Electronics Letters

Publisher

iet

ISSN

0013-5194

Type

jour

DOI

10.1049/el.2012.3160

Filename

6504984