Remote sensing monitoring system for maritime search and rescue

This paper presents a remote sensing monitoring system for maritime search and rescue (RS-MSR). This work is a part of our project—Vision Enhancement System for Maritime Search and Rescue. In this work, satellite remote sensing imageries of large scale water area are acquired to detect and locate for guiding the search operation. Some important data such as current and sea state are retrieved to help decision-making of the operation. A remote sensing monitoring system can, to some extent, overcome the shortcomings and inadequacies of human eyes. It can also improve the searching speed and accuracy, and is of significance in promoting rescue success rate and efficiency.

[1]  J. Skingley,et al.  Automated Linear Feature Detection And Its Application To Curve Location In Synthetic Aperture Radar Imagery , 1988, International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'..

[2]  Shengrui Wang,et al.  Automatic Detection for Ship Target in SAR Imagery Using PNN-Model , 2000 .

[3]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[4]  Deepak S. Turaga,et al.  SAR ship detection using new conditional contrast box filter , 1999, Defense, Security, and Sensing.

[5]  P. Vachon,et al.  Validation of Ship Detection by the RADARSAT Synthetic Aperture Radar and the Ocean Monitoring Workstation , 2000 .

[6]  Ridha Touzi,et al.  Calibrated polarimetric SAR data for ship detection , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[7]  P. Vachon,et al.  Ship Detection by the RADARSAT SAR: Validation of Detection Model Predictions , 1997 .

[8]  K. Eldhuset.  Automatic Ship And Ship Wake Detection In Spaceborne SAR Images From Coastal Regions , 1988, International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'..

[9]  Giovanna Cecchi,et al.  Remote sensing of marine environment with the high spectral resolution fluorosensor FLIDAR3 , 1995, Remote Sensing.

[10]  G. L. Hover,et al.  A comparative evaluation of SAR and SLAR , 1993 .

[11]  Xiaofeng Li,et al.  Automatic Detection of Ships in RADARSAT-1 SAR Imagery , 2001 .

[12]  L. M. Murphy,et al.  Linear feature detection and enhancement in noisy images via the Radon transform , 1986, Pattern Recognit. Lett..