Paper Info
Title
Edge Enhancement Algorithm Based on the Wavelet Transform for Automatic Edge Detection in SAR Images.
Abstract
This paper presents a novel technique for automatic edge enhancement and detection in synthetic aperture radar (SAR) images. The characteristics of SAR images justify the importance of an edge enhancement step prior to edge detection. Therefore, this paper presents a robust and unsupervised edge enhancement algorithm based on a combination of wavelet coefficients at different scales. The performance of the method is first tested on simulated images. Then, in order to complete the automatic detection chain, among the different options for the decision stage, the use of geodesic active contour is proposed. The second part of this paper suggests the extraction of the coastline in SAR images as a particular case of edge detection. Hence, after highlighting its practical interest, the technique that is theoretically presented in the first part of this paper is applied to real scenarios. Finally, the chances of its operational capability are assessed.
Year
DOI
Venue
2011
10.1109/TGRS.2010.2052814
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
pixel,speckle,differential geometry,edge detection,wavelet transform,radar imaging,robustness,wavelet transforms,edge enhancement,synthetic aperture radar,feature extraction
Canny edge detector,Synthetic aperture radar,Edge detection,Remote sensing,Artificial intelligence,Wavelet transform,Wavelet,Computer vision,Radar imaging,Deriche edge detector,Algorithm,Mathematics,Edge enhancement
Journal
Volume
Issue
ISSN
49
1-1
0196-2892
Citations 
PageRank 
References 
26
1.20
7
Authors
4
Name
Order
Citations
PageRank
Mariví Tello Alonso11205.28
Carlos López-Martínez229424.70
Jordi J. Mallorquí320327.47
Philippe Salembier460387.65