DocumentCode :
299064
Title :
Analysis of an automatic method for surface classification using multifrequency multipolarization SAR data
Author :
Baronti, S. ; Macelloni, G. ; Paloscia, S. ; Pampaloni, P. ; Sigismondi, S.
Author_Institution :
CNR/IROE, Firenze, Italy
Volume :
2
fYear :
34881
fDate :
10-14 Jul1995
Firstpage :
973
Abstract :
An algorithm for automatic classification of land surfaces from multifrequency polarimetric SAR data is presented. Discriminations among different classes of agricultural land surfaces have been carried out on the basis of calibrated backscattering coefficients measured for each field. Nine classes of agricultural surfaces have been identified with a very low error rate
Keywords :
agriculture; backscatter; geophysical signal processing; geophysical techniques; image classification; radar applications; radar cross-sections; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; agricultural crops; agriculture; algorithm; automatic method; calibrated backscattering coefficient; geophysical measurement technique; image classification; land surface; multifrequency SAR; multipolarization SAR; polarization; radar polarimetry; radar scattering; terrain mapping; vegetation mapping; Algorithm design and analysis; Backscatter; Classification algorithms; Crops; Error analysis; Geoscience; L-band; Land surface; Polarization; Rivers; Scattering;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/IGARSS.1995.521112
Filename :
521112
Link To Document :
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