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Proceedings Paper

Clutter rejection in image spectroscopy of the oceanic littoral zone
Author(s): Carrie L. Leonard; Carl Johnson; Andrew Acker
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Paper Abstract

The shallow water and surf zone (SZ) regions are one of the more difficult environments currently being addressed in littoral mine counter measure (MCM) strategies, yet they are also critical regions for MCM with respect to military breaching tactics. The difficulties in optical remote sensing of the SZ lie mostly in the problem of clutter, which includes transient wave glint, foam patches, turbidity, and detritus. The problem is compounded by the refractive distortion of the small targets (mines and barriers) in these shallow waters. We have adopted several strategies for dealing with clutter rejection in the SZ. The first is a strictly statistical approach to clutter rejection, which is computationally efficient and mathematically simple. The second of these leverages hyperspectral algorithms used for the detection of submerged targets in deep water, wherein the glint is subtracted from the scene prior to image segmentation and anomaly detection. The second method, while more mathematically mature, does not appreciably increase the computation time and provides startlingly better results.

Paper Details

Date Published: 8 November 2002
PDF: 6 pages
Proc. SPIE 4816, Imaging Spectrometry VIII, (8 November 2002); doi: 10.1117/12.453786
Show Author Affiliations
Carrie L. Leonard, STI Industries, Inc. (United States)
Carl Johnson, STI Industries, Inc. (United States)
Andrew Acker, STI Industries, Inc. (United States)


Published in SPIE Proceedings Vol. 4816:
Imaging Spectrometry VIII
Sylvia S. Shen, Editor(s)

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