Abstract
With the rapid development of spaceborne synthetic aperture radar (SAR) and the increasing need of ship detection, research on adaptive ship detection in spaceborne SAR imagery is of great importance. Focusing on practical problems of ship detection, this paper presents a highly adaptive ship detection scheme for spaceborne SAR imagery. It is able to process a wide range of sensors, imaging modes and resolutions. Two main stages are identified in this paper, namely: ship candidate detection and ship discrimination. Firstly, this paper proposes an adaptive land masking method using ship size and pixel size. Secondly, taking into account the imaging mode, incidence angle, and polarization channel of SAR imagery, it implements adaptive ship candidate detection in spaceborne SAR imagery by applying different strategies to different resolution SAR images. Finally, aiming at different types of typical false alarms, this paper proposes a comprehensive ship discrimination method in spaceborne SAR imagery based on confidence level and complexity analysis. Experimental results based on RADARSAT-1, RADARSAT-2, TerraSAR-X, RS-1, and RS-3 images demonstrate that the adaptive scheme proposed in this paper is able to detect ship targets in a fast, efficient and robust way.
Highlights
Synthetic Aperture Radar (SAR) is a microwave remote sensing technology capable of providingSAR provides large scenes and keeps working for a long time
constant false alarm rate (CFAR) is the core of prescreening in this paper
We erosion algorithm algorithm to CFAR detection, We employ employ an an erosion to remove isolated pixels firstly and group the detected pixels into a single detection a dilation dilation remove isolated pixels firstly and group the detected pixels into a single detection by by a method
Summary
Synthetic Aperture Radar (SAR) is a microwave remote sensing technology capable of providing. It makes the subsequent detection stages easier and both land masking and prescreening comprise the ship candidate detection stage. The scheme is composed of two stages: ship candidate detection and discrimination. The scheme is composed of two stages: ship candidate detection and discrimination.The. The ship candidate detection includes land masking and prescreening. Scheme focuses on practical problems of adaptive ship detection, capable of processing a wide. The scheme focuses on practical problems of adaptive ship detection, capable of processing range of sensors, imaging modes and resolutions. By taking into account the imaging angle, and polarization mode of SARtoimagery, implements adaptive mode, Thisincidence paper applies two different detection strategies high anditlow resolutionthe imagery,ship candidate detection in spaceborne imagery. This paper a comprehensive ship discrimination method basedeye on confidence false proposes alarms perfectly.
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