On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data

On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data

In previous studies, parameters derived from polarimetric target decompositions have proven as very effective features for crop classification with single/multi-temporal polarimetric synthetic aperture radar (PolSAR) data. In particular, a classical eigenvalue-eigenvector-based decomposition approac...

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Bibliographic Details
Main Authors: Qinghua Xie, Jinfei Wang, Chunhua Liao, Jiali Shang, Juan M. Lopez-Sanchez, Haiqiang Fu, Xiuguo Liu
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
polarimetric SAR (PolSAR)
crop classification
multi-temporal
target decomposition
random forest
Cloude–Pottier decomposition
Neumann decomposition
RADARSAT-2
Online Access:https://www.mdpi.com/2072-4292/11/7/776

Internet

https://www.mdpi.com/2072-4292/11/7/776

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