On the capability of different SAR polarization combinations for agricultural monitoring
Publication from Digital
Leichtle, T. and Schmitt, A. and Roth, A. and Schardt, M.
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International , 1/2012
This paper examines the capability of different SAR polarization combinations for agricultural monitoring. For this purpose, a time series dataset of five quad-polarized images acquired by RADARSAT-2 (C-Band) is used. The different SAR polarization combinations are generated by splitting each input dataset in two additional dual-polarization combinations synthetically. Polarimetric decomposition is realized by a new Kennaugh matrix like decomposition, while the mandatory speckle filtering is performed by a pyramidal multi-looking approach. Thus, the data is normalized in order to fulfill the requirement of a normal distribution for the subsequent maximum likelihood classification. Concluding, the accuracy assessment provides a measure for the questioned classification capability of dual-polarized images in comparison to the quad-polarized data.