@inproceedings{6eac65ae2fd24aef91dfa8f8e4a198c7,
title = "Eigen decomposition parameter based forest mapping using Radarsat-2 PolSAR data",
abstract = "In this paper, a set of polarimetric eigenvalue and eigenvector based parameters, e.g. entropy and anisotropy, are investigated for forest application. The correlation terms of the eigenvectors, μ1 and μ2, are found to be better for forest mapping in both summer and winter using Radarsat-2 quad-polarimetric space borne SAR data. These are used to automatically identify forest class pixels from the volume scattering category of a Freeman-Durden Wishart unsupervised segmentation map. The algorithm scheme was developed and implemented using fully polarimetric Radarsat-2 SAR (PolSAR) data acquired in July and October and the validity was evaluated using the ground reference data created from SPOT5 K-clustering classification map.",
keywords = "Classification, Eigenvalue, Forest mapping, Polarimetric, Radarsat-2",
author = "Yang Li and Wen Hong and Fang Cao and Erxue Chen and Goodenough, {David G.} and Hao Chen and Peng Wang and Ashlin Richardson",
year = "2010",
doi = "10.1109/IGARSS.2010.5653912",
language = "English",
isbn = "9781424495658",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4784--4787",
booktitle = "2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010",
address = "United States",
note = "2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 ; Conference date: 25-07-2010 Through 30-07-2010",
}