A Study of Supervised Land-cover Classification by ALOS/PALSAR Polarimetric Interferometry
Conference: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
06/07/2010 - 06/10/2010 at Aachen, Germany
Proceedings: EUSAR 2010
Pages: 3Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Ohki, Masato; Shimada, Masanobu (Japan Aerospace Exploration Agency, Earth Observation Research Centre, Japan)
This paper addresses land-cover classification by ALOS/PALSAR polarimetric interferometry data using the su-pervised complex Wishart classifier. The test data was classified into 6 land-cover types with an overall accuracy exceeds 80%. In particular, water, paddy and forest areas are accurately classified. Interferometry played an im-portant role in discriminating confusing land-cover types that have similar scattering characteristics.