Image and Signal Processing for Remote Sensing V: 22-24 September 1999, Florence, Italy
SPIE, 1999 - Science - 382 pages
This collection of 57 papers covers the use of image and signal processing technology for remote sensing applications.
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Automatic geocoding of highvalue targets using structural image analysis and GIS data
Algorithm for the estimation of oceanic chlorophyll concentration from hyperspectral data
Noise subspace projection approaches to determination of intrinsic dimensionality
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accuracy algorithm allows analysis angle applications approach band changes classes classification clusters coefficients color combination compared complex components computed considered correlation corresponding cover defined derived described detection determined developed direction distribution edge effects equation error estimated evaluation example extracted Figure filter function fusion fuzzy Gaussian given ground height hyperspectral IEEE imagery input Italy knowledge land learning linear matching matrix mean measure method mixed multispectral neural network noise objects obtained operations optimal original output parameters Pattern performed phase pixels present probability problem produce projection proposed reference reflectance regions Remote Sensing represents resolution respectively road rule samples scale scene segmentation selected sensor shown shows Signal signature sources space spatial spectral statistical step structure Table technique threshold transform values vector vegetation wavelet