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effects of changing canopy directional reflectance on feature selectionThe use of a Monte Carlo model for generating sample directional reflectance data for two simplified target canopies at two different solar positions is reported. Successive iterations through the model permit the calculation of a mean vector and covariance matrix for canopy reflectance for varied sensor view angles. These data may then be used to calculate the divergence between the target distributions for various wavelength combinations and for these view angles. Results of a feature selection analysis indicate that different sets of wavelengths are optimum for target discrimination depending on sensor view angle and that the targets may be more easily discriminated for some scan angles than others. The time-varying behavior of these results is also pointed out.
Document ID
19740042671
Document Type
Conference Proceedings
Authors
Smith, J. A.
Oliver, R. E.
(Colorado State University Fort Collins, Colo., United States)
Kilpela, O. E.
Date Acquired
August 7, 2013
Publication Date
January 1, 1973
Subject Category
GEOPHYSICS
Meeting Information
Conference on Earth Resources Observation and Information Analysis Systems(Tullahoma, TN)
Funding Number(s)
CONTRACT_GRANT: DA-ARO(D)-31-124-71-G165
CONTRACT_GRANT: NAS9-12972
Distribution Limits
Public
Copyright
Other