Next Article in Journal
A Remote Sensing and GIS Approach to Study the Long-Term Vegetation Recovery of a Fire-Affected Pine Forest in Southern Greece
Previous Article in Journal
Regional Urban Extent Extraction Using Multi-Sensor Data and One-Class Classification
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2015, 7(6), 7695-7711; doi:10.3390/rs70607695

Automatic Ship Detection in SAR Images Using Multi-Scale Heterogeneities and an A Contrario Decision

1
School of Electronic Information, Wuhan University, Wuhan 430072, China
2
State Key Laboratory of LIESMARS, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Academic Editors: Gonzalo Pajares Martinsanz and Prasad S. Thenkabail
Received: 25 January 2015 / Revised: 6 May 2015 / Accepted: 22 May 2015 / Published: 10 June 2015
View Full-Text   |   Download PDF [4294 KB, uploaded 10 June 2015]   |  

Abstract

The robust detection of ships is one of the key techniques in coastal and marine applications of synthetic aperture radar (SAR). Conventional SAR ship detectors involved multiple parameters, which need to be estimated or determined very carefully. In this paper, we propose a new ship detection approach based on multi-scale heterogeneities under the a contrario decision framework, with a few parameters that can be easily determined. First, multi-scale heterogeneity features are extracted and fused to build a heterogeneity map, in which ships are well highlighted from backgrounds. Second, a set of reference objects are automatically selected by analyzing the saliency of local regions in the heterogeneity map and then are used to construct a null hypothesis model for the final decision. Finally, the detection results are obtained by using an a contrario decision. Experimental results on real SAR images demonstrate that the proposed method not only works more stably for ships with different sizes, but also has better performance than conventional ship detectors. View Full-Text
Keywords: synthetic aperture radar; ship detection; heterogeneity feature; a contrario decision synthetic aperture radar; ship detection; heterogeneity feature; a contrario decision
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Huang, X.; Yang, W.; Zhang, H.; Xia, G.-S. Automatic Ship Detection in SAR Images Using Multi-Scale Heterogeneities and an A Contrario Decision. Remote Sens. 2015, 7, 7695-7711.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top