Statistics – Applications
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475...93d&link_type=abstract
In: Proceedings of the Third International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Appl
Statistics
Applications
Agriculture, Land Cover
Scientific paper
This paper reports on a quantitative investigation which has been carried out, aimed at evaluating the performances of a neural network based crop classification technique. Backscattering coefficients measured in different SAR configurations (multipolarization/multitemporal) have been used as inputs of the algorithm. For this purpose, AirSAR and ERS data collected at the Flevoland site have been extracted from the ERA-ORA distributed library.
Borgeaud Maurice
Delfrate F.
Hoekman Dirk
Schiavon G.
Solimini D.
No associations
LandOfFree
The potential of SAR in crop classification using multi-configuration data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The potential of SAR in crop classification using multi-configuration data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The potential of SAR in crop classification using multi-configuration data will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1089412