TerraSAR-X/SPOT-5 Fused Images for Supervised Land Cover Classification

Abstract

This paper reports the study of supervised neural network algorithm for classification purposes. SPOT 5 and TerraSAR-X dataset are analyzed. Classification results are critically discussed and compared to ground truth map and unsupervised neural classification of the same area. The aim is to demonstrate the capability of neural networks in managing… (More)
DOI: 10.1109/IGARSS.2008.4780106

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