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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/469

Title: Multiple single pixel dim target detection in infrared image sequence
Authors: ZAVERI, MA
MERCHANT, SN
DESAI, UB
Keywords: clutter
image classification
image sequences
infrared imaging
optical tracking
target tracking
Issue Date: 2003
Publisher: IEEE
Citation: Proceedings of the International Symposium on Circuits and Systems (V 2), Bangkok, Thailand, 25-28 May 2003, II-380-II-383
Abstract: It is difficult to detect and classify multiple point targets in the presence of clutter and noise, in an air borne IR image sequence. Most existing approaches assume a target of several pixels size or of Gaussian shape with a variance of 1.5 pixels. We propose a wavelet based detection technique for multiple single pixel dim targets in an IR image sequence in the presence of clutter and noise. Temporal multiscale decomposition is used to detect temporal change. This temporal change map is postprocessed to reduce the probability of false alarm and misdetection.
URI: 10.1109/ISCAS.2003.1205987
http://hdl.handle.net/10054/469
http://dspace.library.iitb.ac.in/xmlui/handle/10054/469
ISBN: 0-7803-7761-3
Appears in Collections:Proceedings papers

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