Title :
On the potential of multi-polarization and multi-temporal C-band SAR data in classifying crops
Author :
Del Frate, F. ; Schiavon, G. ; Solimini, D. ; Borgeaud, M. ; Hoekman, D.H. ; Vissers, M.A.M.
Author_Institution :
Dipt. Inf. Sistemi e Produzione, Tor Vergata Univ., Rome, Italy
Abstract :
We report on an investigation aimed at evaluating the performance of a neural-network based crop classification technique, which makes use of multi-polarization and/or multi-temporal back-scattering coefficients measured at C-band.
Keywords :
crops; neural nets; remote sensing by radar; synthetic aperture radar; vegetation mapping; back scattering coefficients; crop classification technique; multipolarization; multitemporal C-band SAR data; neural network; Assembly; Backscatter; Classification algorithms; Crops; Data mining; Electromagnetic scattering; Neural networks; Polarization; Radar scattering; Space technology;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1294386
