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