Paper
17 October 2013 A new detection method of oil rigs in SAR imagery
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Chen, Jingsong Yang, and Lin Ren "A new detection method of oil rigs in SAR imagery", Proc. SPIE 8891, SAR Image Analysis, Modeling, and Techniques XIII, 88910P (17 October 2013); https://doi.org/10.1117/12.2029153
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Cited by 1 scholarly publication.
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KEYWORDS
Synthetic aperture radar

Interferometry

Coherence (optics)

Target detection

Data modeling

Image analysis

Neural networks

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