A new local feature extraction in SAR image

Author

Tao Tang ; Deliang Xiang ; Hai Liu ; Yi Su

Author_Institution

Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China

fYear

2013

fDate

23-27 Sept. 2013

Firstpage

377

Lastpage

379

Abstract

Local feature extraction and matching is an essential tool for image registration and object recognition. In this presentation we present a novel local feature extraction method in SAR image. The extraction method includes three parts like SIFT: (i)keypoints detection and localization; (ii)keypoint description; (iii)keypoints matching. But our descriptor is based on local gradient ratio pattern histogram rather than gradient direction histogram in SIFT, which is more robust against speckle in SAR image. This novel method shows better performance than other algorithm in experiments using real SAR image.

Keywords

feature extraction; image matching; image registration; object recognition; radar imaging; speckle; synthetic aperture radar; SIFT; gradient direction histogram; image registration; keypoint description; keypoint detection; keypoint localization; keypoint matching; local feature extraction method; local feature matching; local gradient ratio pattern histogram; object recognition; real SAR image; speckle; Feature extraction; Histograms; Image recognition; Noise; Robustness; Speckle; Synthetic aperture radar; SAR; feature extraction; feature matching; gradient ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on

Conference_Location

Tsukuba

Type

conf

Filename

6705094