Statistics – Applications
Scientific paper
Apr 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003esasp.529e...7l&link_type=abstract
Proceedings of the Workshop on POLinSAR - Applications of SAR Polarimetry and Polarimetric Interferometry (ESA SP-529). 14-16 Ja
Statistics
Applications
Scientific paper
In this paper our recent investigation and experimental results of the polarimetric SAR classification of the data for the Glen Affric radar project is presented. The polarimetric classification is one of the most important applications of the radar polarimetry in remote sensing. The unsupervised and supervised polarimetric classification of the Glen Affric data in respect to the classified Arial photography images of the same site using the Wishart classification technique is presented. The focus of the classification is on the diversity of the natural/semi natural landscape with a particular view on the wetlands/moor lands and lochs. The data for this project is acquired under the UK NERC / BNSC sponsored SHAC campaign.
Lumsdon Parivash
Wright Grady
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