Share Email Print
cover

Proceedings Paper

A new detection method of oil rigs in SAR imagery
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

It's difficult for simple space-borne SAR to identify oil rigs effectively in single pass SAR image. One method of oil rig detection is using multi-temporal SAR images. Some papers had do some research on it. In this paper, we use interferometry SAR image to detect the oil rigs. We get the correlation coefficient image from the In-SAR data, and using the histogram of correlation coefficient image, A Constant False Alarm Rate (CFAR) algorithm is imported to detect the oil rigs. The Probabilistic Neural Network (PNN) is used to get the threshold of detection. The test result shows that sea coherent target detection in the coherent coefficient image is efficacious.

Paper Details

Date Published: 17 October 2013
PDF: 7 pages
Proc. SPIE 8891, SAR Image Analysis, Modeling, and Techniques XIII, 88910P (17 October 2013); doi: 10.1117/12.2029153
Show Author Affiliations
Peng Chen, The Second Institute of Oceanography, SOA (China)
Jingsong Yang, The Second Institute of Oceanography, SOA (China)
Lin Ren, The Second Institute of Oceanography, SOA (China)


Published in SPIE Proceedings Vol. 8891:
SAR Image Analysis, Modeling, and Techniques XIII
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca, Editor(s)

© SPIE. Terms of Use
Back to Top