Paper Info
Title
Exploring the Capability of ALOS PALSAR L-Band Fully Polarimetric Data for Land Cover Classification in Tropical Environments.
Abstract
Among different applications using synthetic aperture radar (SAR) data, land cover classification of rain forest areas has been investigated. Previous results showed that L-band is more appropriate for such applications. However, SAR images have limited discriminability for mapping large sets of classes compared with optical imagery. The objective of this study was to carry out an analysis about t...
Year
DOI
Venue
2016
10.1109/JSTARS.2016.2594133
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Synthetic aperture radar,L-band,Sensors,Covariance matrices,Earth,Remote sensing,Support vector machines
Computer vision,Polarimetry,Synthetic aperture radar,Remote sensing,Support vector machine,Thematic map,Artificial intelligence,Contextual image classification,Iterated conditional modes,Land cover,Discriminative model,Mathematics
Journal
Volume
Issue
ISSN
9
12
1939-1404
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Rogério Galante Negri164.31
Luciano Vieira Dutra27126.78
Corina da Costa Freitas318319.86
Dengsheng Lu414123.73