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A neural approach to unsupervised classification of very-high resolution polarimetric SAR data

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6 Author(s)

Analysis of L-band polarimetric SAR data has not been extensively carried out for undulating, heterogeneous and fragmented landscapes, where classification can become quite challenging. This paper reports results of a study on the pixel-by- pixel unsupervised classification of very-high resolution polarimetric images by self-organizing neural networks.

Published in:

Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International

Date of Conference:

23-28 July 2007