Paper Info
Title
Classification of Wheat Crops from ASAR Data
Abstract
In this study, the use of ASAR HH/VV backscatter ratio for winter wheat classification has been assessed. The experimental analysis has been conducted over an agricultural site located in Southern Italy and mostly dedicated to durum-wheat cultivation. Two temporal series of ASAR AP data acquired during the 2006 and 2007 growing seasons have been analyzed. The obtained results show that a wheat/non-wheat classification accuracy of 75-80% can be achieved by using a single ASAR AP image, acquired during the peak of the wheat growing season. Higher classification accuracies, approximately equal to 90%, can be obtained when a priori information on field boundaries is available and speckle filtering is carried out at field scale.
Year
DOI
Venue
2008
10.1109/IGARSS.2008.4779404
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Keywords
Field
DocType
agriculture,crops,geophysics computing,image classification,vegetation mapping,AD 2006 to 2007,ASAR AP image,ASAR HH-VV backscatter ratio,Southern Italy,agricultural site,durum-wheat cultivation,speckle filtering,wheat growing season,winter wheat classification,Classification,Polarization ratio,SAR,Wheat mapping
Growing season,Speckle pattern,Computer science,Crop,Backscatter,Remote sensing,Sugar industry,Agricultural site,Optical polarization,Contextual image classification
Conference
Volume
ISBN
Citations 
3
978-1-4244-2808-3
0
PageRank 
References 
Authors
0.34
10
2
Name
Order
Citations
PageRank
giuseppe satalino118324.70
f mattia219124.59