DocumentCode :
170476
Title :
A new method for detection of ship docked in harbor in high resolution remote sensing image
Author :
Bin Jin ; Yu Cong ; Wei Zhou ; Guoqing Wang
Author_Institution :
Naval Aeronaut. & Astronaut. Univ., Yantai, China
fYear :
2014
fDate :
16-18 May 2014
Firstpage :
341
Lastpage :
344
Abstract :
Ship detection using high resolution remote sensing images is a hot research topic in both military and civilian applications. In this paper, a new method for detection of ships docked in a harbor was proposed, in which, Harris corner detector combined with local salient region analysis were used to extract the obvious sharp-angled feature related to the fore part of a ship in satellite images. This method can determine the direction of the ship when the ship is detected. The results of experiments on several high resolution remote sensing images verified the effectiveness of the proposed method.
Keywords :
feature extraction; image resolution; object detection; remote sensing; ships; Harris corner detector; civilian applications; high resolution remote sensing image; local salient region analysis; military applications; satellite images; sharp-angled feature extraction; ship detection method; Detectors; Feature extraction; Image resolution; Marine vehicles; Remote sensing; Satellites; Vectors; feature extraction; high resolution; karris; local salient region; ship detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
Type :
conf
DOI :
10.1109/PIC.2014.6972354
Filename :
6972354
Link To Document :
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