Open AccessCombination of Target Detection and Block‐matching 3D Filter for Despeckling SAR Images
Author(s) -
Zhu HuMing,
Zhong WenQian,
Jiao L.C.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2012.3160
Subject(s) - block (permutation group theory) , artificial intelligence , computer vision , computer science , filter (signal processing) , matching (statistics) , matched filter , pattern recognition (psychology) , synthetic aperture radar , mathematics , statistics , geometry
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.