Title :
Classification of multifrequency radar polarimetric data: role and contribution of vectorial filters
Author :
Pierdicca, N. ; Crapolicchio, R. ; Basili, P. ; Ciotti, P. ; d´Auria, G. ; Marzano, F.S.
Author_Institution :
Dept. of Electron. Eng., Rome Univ., Italy
Abstract :
A vectorial filter is applied to AIRSAR polarimetric radar images to reduce the fluctuations of the data due to speckle. The single frequency and multifrequency classifications of raw data and filtered data are compared in terms of classification accuracy and the best selection of filter parameters (choice of elements of the observation vector to be filtered and running window size) are determined
Keywords :
airborne radar; digital filters; geophysical signal processing; geophysical techniques; image classification; multidimensional digital filters; radar imaging; radar polarimetry; remote sensing by radar; AIRSAR; geophysical measurement technique; image classification; land surface; multifrequency radar; polarimetric radar image; radar polarimetry; remote sensing; speckle reduction; terrain mapping; vectorial filter; Covariance matrix; Electromagnetic scattering; Europe; Filters; Fluctuations; Frequency; Layout; Radar imaging; Radar polarimetry; Radar scattering;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.524065
