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Title: Target Detection in SAR Images Based on a Level Set Approach

Abstract

This paper introduces a new framework for point target detection in synthetic aperture radar (SAR) images. We focus on the task of locating reflective small regions using alevel set based algorithm. Unlike most of the approaches in image segmentation, we address an algorithm which incorporates speckle statistics instead of empirical parameters and also discards speckle filtering. The curve evolves according to speckle statistics, initially propagating with a maximum upward velocity in homogeneous areas. Our approach is validated by a series of tests on synthetic and real SAR images and compared with three other segmentation algorithms, demonstrating that it configures a novel and efficient method for target detection purpose.

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
Computational Research Division
OSTI Identifier:
939133
Report Number(s):
LBNL-958E
TRN: US200821%%240
DOE Contract Number:  
DE-AC02-05CH11231
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Systems, Man and Cybernetics
Additional Journal Information:
Journal Name: IEEE Transactions on Systems, Man and Cybernetics
Country of Publication:
United States
Language:
English
Subject:
97; ALGORITHMS; DETECTION; RADAR; STATISTICS; TARGETS; VELOCITY

Citation Formats

Marques, Regis C.P., Medeiros, Fatima N.S., and Ushizima, Daniela M. Target Detection in SAR Images Based on a Level Set Approach. United States: N. p., 2008. Web.
Marques, Regis C.P., Medeiros, Fatima N.S., & Ushizima, Daniela M. Target Detection in SAR Images Based on a Level Set Approach. United States.
Marques, Regis C.P., Medeiros, Fatima N.S., and Ushizima, Daniela M. 2008. "Target Detection in SAR Images Based on a Level Set Approach". United States. https://www.osti.gov/servlets/purl/939133.
@article{osti_939133,
title = {Target Detection in SAR Images Based on a Level Set Approach},
author = {Marques, Regis C.P. and Medeiros, Fatima N.S. and Ushizima, Daniela M},
abstractNote = {This paper introduces a new framework for point target detection in synthetic aperture radar (SAR) images. We focus on the task of locating reflective small regions using alevel set based algorithm. Unlike most of the approaches in image segmentation, we address an algorithm which incorporates speckle statistics instead of empirical parameters and also discards speckle filtering. The curve evolves according to speckle statistics, initially propagating with a maximum upward velocity in homogeneous areas. Our approach is validated by a series of tests on synthetic and real SAR images and compared with three other segmentation algorithms, demonstrating that it configures a novel and efficient method for target detection purpose.},
doi = {},
url = {https://www.osti.gov/biblio/939133}, journal = {IEEE Transactions on Systems, Man and Cybernetics},
number = ,
volume = ,
place = {United States},
year = {Mon Sep 01 00:00:00 EDT 2008},
month = {Mon Sep 01 00:00:00 EDT 2008}
}