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Proceedings Paper

ICA neural net to refine remote sensing with multiple labels
Author(s): Harold H. Szu; James R. Buss
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Paper Abstract

We show how the unsupervised ANN modeling of image fusion of HVS can embody the mathematics of ICA to achieve blind source de-mixing of remote sensing images. We have shown when tow eyes are extended to multiple pixel has a large footprint on the ground. MLRS gives the percentage composition of ground radiation sources within the footprint and thus overcome the so-called 'boundary error' coined by Tucker in the Amazon deforestation over-estimation as follows.

Paper Details

Date Published: 5 April 2000
PDF: 18 pages
Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); doi: 10.1117/12.381669
Show Author Affiliations
Harold H. Szu, Office of Naval Research (United States)
James R. Buss, Office of Naval Research (United States)


Published in SPIE Proceedings Vol. 4056:
Wavelet Applications VII
Harold H. Szu; Martin Vetterli; William J. Campbell; James R. Buss, Editor(s)

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