Title :
Sea surface ship detection in SAR images
Author :
Liu, Yingjian ; Feng, Qian
Author_Institution :
Dept. of Comput. Sci., Ocean Univ., Qingdao
Abstract :
Algorithm for sea surface ship detection is described. The algorithm is designed for ship detection in SAR images. Morphological filter is introduced to decrease false alarms. Scan line based seed cluster algorithm is used during ship pixel clustering. Ship parameters can be estimated finally
Keywords :
geophysical signal processing; image classification; oceanographic techniques; pattern clustering; radar detection; radar imaging; remote sensing by radar; ships; synthetic aperture radar; SAR images; cluster algorithm; false alarms; morphological filter; sea surface ship detection; ship pixel clustering; ship scan line; Clustering algorithms; Filters; Marine vehicles; Monitoring; Oceans; Parameter estimation; Pixel; Sea surface; Surface morphology; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370213
