A knowledge-based classification method for polarimetric SAR data

M. Dabboor; V. Karathanassi

doi:10.1117/12.627070

12 October 2005 A knowledge-based classification method for polarimetric SAR data

M. Dabboor, V. Karathanassi

Proceedings Volume 5980, SAR Image Analysis, Modeling, and Techniques VII; 59800C (2005) https://doi.org/10.1117/12.627070
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

Full polarimetric data can define the scattering behavior of land use/cover through several approaches. Several classification methods have been proposed based on analysis methods. These classification methods are based on the backscattering mechanisms which are extracted using a single decomposition method. The objectives of this work are a) the investigation of the different polarimetric analysis methods; b) the interpretation of the images resulting from polarimetric analysis; c) the development of an object-oriented classification method based on polarimetric analysis imagery and the comparison of this method with the H/a and the H/a Wishart classification methods respectively.

Citation Download Citation

M. Dabboor and V. Karathanassi "A knowledge-based classification method for polarimetric SAR data", Proc. SPIE 5980, SAR Image Analysis, Modeling, and Techniques VII, 59800C (12 October 2005); https://doi.org/10.1117/12.627070

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