DocumentCode :
3388867
Title :
A novel approach for the automatic detection of punctual isolated targets in a noisy background in SAR imagery
Author :
Tello, Marivi ; Lopez-Martinez, Carlos ; Mallorqui, Jordi J.
Author_Institution :
Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona
fYear :
2005
fDate :
6-7 Oct. 2005
Firstpage :
41
Lastpage :
44
Abstract :
Several distinctive capabilities of satellite-based synthetic aperture radar (SAR) systems make them a powerful tool for Earth observation purposes. In fact, SAR systems can provide an efficient, quick and cost effective coverage of any area independently from weather effects and from the day-night cycle. Nevertheless, the automatic interpretation of SAR images usually constitutes a complicated task due to the presence of speckle and to the reduced dimensions of the target compared to the sensor resolution. This papers aims at presenting a novel algorithm for the detection of punctual isolated targets in a noisy background based on the wavelet theory. It will be shown that this can be useful for example for ship detection purposes
Keywords :
object detection; radar imaging; remote sensing by radar; synthetic aperture radar; Earth observation purposes; SAR imagery; automatic detection; noisy background; punctual isolated targets; ship detection purposes; synthetic aperture radar; Background noise; Humans; Image analysis; Image resolution; Image sensors; Marine vehicles; Remote monitoring; Sea surface; Speckle; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2005. EURAD 2005. European
Conference_Location :
Paris
Print_ISBN :
2-9600551-3-6
Type :
conf
DOI :
10.1109/EURAD.2005.1605559
Filename :
1605559
Link To Document :
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