Paper
31 October 1997 Concealed fixed object detection with hyperspectral data in SRE's IMaG environment
Shin-Yi Hsu, J. Ching-Yang Huang
Author Affiliations +
Abstract
With its invariant property in reflectance based spectral signature, hyperspectral imagery has gained a prominent role in material identification and automatic target recognition since the late 1980's. Hyperspectral imagery loses its power when the targets are not directly visible to the sensor system. To conceal the targets, however, certain human actions are required which creates another type of signature like textural patterns that are unnatural in comparison to its surrounding. This paper examines how texture features can be exploited from a hyperspectral image cube for object recognition n general, and disturbed earth in particular under Susquehanna Resources and Environment's IMaG system, which integrates image processing, multisource analysis and GIS into one single environment.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shin-Yi Hsu and J. Ching-Yang Huang "Concealed fixed object detection with hyperspectral data in SRE's IMaG environment", Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); https://doi.org/10.1117/12.278928
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Transform theory

Data modeling

Hyperspectral imaging

Image processing

Computer programming

Computer programming languages

Data processing

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