Entropy based landcover classification using polarimetric SAR images and GMM method

Rajib Kumar Panigrahi, Amit Kumar Mishra

Allbwn ymchwil: Cyfraniad at gynhadleddPapur

Crynodeb

An unsupervised classification scheme based on the use of polarimetric entropy, alpha angle and complex Wishart classifier is widely used for landcover classification. The segmented zones in the entropy/alpha plane is fed as the initial input to Wishart based classifiers. The Wishart based classifiers highly depend on this initial input. However as the entropy/alpha boundaries are fixed, this scheme does not perform satisfactorily in some cases. We propose a modified version of this scheme in which the entropy/alpha boundaries are set based on the nature of the dataset. The popular Gaussian mixture model clustering method is used in deciding the boundaries. The proposed procedure which is reported in this paper is found to enhance the landcover classification capability and computational efficiency of the classic entropy based Wishart classifiers.
Iaith wreiddiolSaesneg
Tudalennau1-4
Nifer y tudalennau4
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 18 Rhag 2011
Cyhoeddwyd yn allanolIe
Digwyddiad2011 IEEE Applied Electromagnetics Conference, AEMC 2011 - Kolkata, India
Hyd: 18 Rhag 201122 Rhag 2011

Cynhadledd

Cynhadledd2011 IEEE Applied Electromagnetics Conference, AEMC 2011
Gwlad/TiriogaethIndia
DinasKolkata
Cyfnod18 Rhag 201122 Rhag 2011

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