Title :
TerraSAR-X/SPOT-5 Fused Images for Supervised Land Cover Classification
Author :
Burini, A. ; Putignano, C. ; Del Frate, F. ; Licciardi, G. ; Pratola, C. ; Schiavon, G. ; Solimini, D.
Author_Institution :
GEO-K s.r.l., Rome
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 heterogeneous dataset and the accuracy improvement obtained by the use of the textural object based layers fused with the optical and radar data.
Keywords :
geophysical signal processing; geophysical techniques; image classification; image fusion; image texture; neural nets; remote sensing; SPOT-5; TerraSAR-X; ground truth map; image fusion; supervised land cover classification; supervised neural network; textural object based layers; unsupervised neural classification; Algorithm design and analysis; Classification algorithms; Data analysis; Laser radar; Neural networks; Optical computing; Optical sensors; Radar imaging; Shape; Testing; Data Fusion; Neural Network; TerraSAR-X;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4780106
