Paper
11 April 2008 Spatial and temporal variability of hyperspectral signatures of terrain
Author Affiliations +
Abstract
Electromagnetic signatures of terrain exhibit significant spatial heterogeneity on a range of scales as well as considerable temporal variability. A statistical characterization of the spatial heterogeneity and spatial scaling algorithms of terrain electromagnetic signatures are required to extrapolate measurements to larger scales. Basic terrain elements including bare soil, grass, deciduous, and coniferous trees were studied in a quasi-laboratory setting using instrumented test sites in Hanover, NH and Yuma, AZ. Observations were made using a visible and near infrared spectroradiometer (350 - 2500 nm) and hyperspectral camera (400 - 1100 nm). Results are reported illustrating: i) several difference scenes; ii) a terrain scene time series sampled over an annual cycle; and iii) the detection of artifacts in scenes. A principal component analysis indicated that the first three principal components typically explained between 90 and 99% of the variance of the 30 to 40-channel hyperspectral images. Higher order principal components of hyperspectral images are useful for detecting artifacts in scenes.
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K. F. Jones, D. K. Perovich, and G. G. Koenig "Spatial and temporal variability of hyperspectral signatures of terrain", Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 69660L (11 April 2008); https://doi.org/10.1117/12.777642
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KEYWORDS
Hyperspectral imaging

Principal component analysis

Photography

Cameras

Digital photography

Optical filters

Visible radiation

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