Presentation + Paper
2 November 2022 Tailoring hyperspectral background models to target detection problems
Author Affiliations +
Abstract
Two unconventional probability distribution models for spectral backgrounds are described. Their utility is demonstrated for contrasting problems in detection: of atmospheric plumes and of sub-pixel opaque ground targets. Neither background model belongs to the conventional class of elliptically contoured distributions.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alan Schaum "Tailoring hyperspectral background models to target detection problems", Proc. SPIE 12272, Electro-Optical Remote Sensing XVI, 1227202 (2 November 2022); https://doi.org/10.1117/12.2633989
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KEYWORDS
Target detection

Sensors

Detection and tracking algorithms

Lawrencium

Opacity

Coastal modeling

Convolution

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