Abstract:
In this paper, we propose a novel ship detection method for polarimetric synthetic aperture radar (PolSAR) images via graph-based sparse manifold ranking. The main framew...Show MoreMetadata
Abstract:
In this paper, we propose a novel ship detection method for polarimetric synthetic aperture radar (PolSAR) images via graph-based sparse manifold ranking. The main framework comprises a coarse-to-fine scheme. We employ the image intensity for prescreening and introduce graph-based sparse manifold ranking (GSMR) for discrimination. The distance between the ship and clutter in sparse code domain is explored. And the image elements in candidate region are ranked based on the prescreening priors and the new distance in graph labeling framework. The final detection result is produced with the ranking procedure. Experiments performed on two RADARSAT-2 images demonstrate the effectiveness and superiority of the proposed method.
Date of Conference: 28 July 2019 - 02 August 2019
Date Added to IEEE Xplore: 14 November 2019
ISBN Information: