Summary
International Symposium on Antennas and Propagation
2011
Session Number:ThE1
Session:
Number:ThE1-3
A New Approach to Ship Detection based on Synthetic Aperture Radar Data
Eun-Sung Won, Kazuo Ouchi,
pp.-
Publication Date:2011/10/25
Online ISSN:2188-5079
Summary:
MLCC (Multi-Look Cross-Correlation) is a useful technique to extract the images of ships embedded in sea clutter from SAR (Synthetic Aperture Radar) data[1]. However, the previous MLCC has a difficulty of detecting small ships since SNR (Signal-to-Noise Ratio) is not high enough. Therefore, we developed a new Improved MLCC (IMLCC) to increase SNR to extract small boats. Although the LMLCC method increased SNR, there still remained some highly correlated noises in the coherence images caused by strong radar backscatter from sea surface. In order to improve the IMLCC algorithm further, we propose a new method of applying LognormalCFAR (Constant False Alarm Rate) to IMLCC coherence images. The results using ALOSPALSAR (Advanced Land Observing Satellite-Phased Array L-band SAR) data showed substantial improvement in SNR and detection rate.