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Proceedings Paper

Encountering false alarms for detection of point targets in highly cluttered background
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Paper Abstract

Detection of point targets becomes increasingly more difficult as targets become weak and engagement takes place in highly dense, varying and complex background like clouds. To detect weak point targets in this scenario, detection threshold should be sufficiently low. And this leads to high false alarm rate. In order to make detection system robust to dense clutter (we mean 'clouds') and noise, post processing algorithms are required. Almost all detection/tracking systems use post processing techniques, but less has been reported in this area. In this paper, we propose a simple and computationally efficient post processing algorithm to encounter false alarms due to dense and varying clouds. Models for target and cloud edges are presented. Results demonstrate that proposed algorithm is able to reduce false alarms to a large extent.

Paper Details

Date Published: 7 October 2008
PDF: 8 pages
Proc. SPIE 7114, Electro-Optical Remote Sensing, Photonic Technologies, and Applications II, 71140N (7 October 2008); doi: 10.1117/12.802862
Show Author Affiliations
Ram Saran, Instruments Research and Development Establishment (India)
Hari Babu Srivastava, Instruments Research and Development Establishment (India)
Ashok Kumar, Instruments Research and Development Establishment (India)


Published in SPIE Proceedings Vol. 7114:
Electro-Optical Remote Sensing, Photonic Technologies, and Applications II
Gary W. Kamerman; Ove K. Steinvall; Keith L. Lewis; Thomas J. Merlet; Richard C. Hollins, Editor(s)

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