NDLI: Unsupervised classification based on non-negative eigenvalue decomposition and Wishart classifier

Content Provider	IET Digital Library
Author	Wang, Chunle Yu, Weidong Wang, Robert Deng, Yunkai Zhao, Fengjun Lu, Youchun
Abstract	In this study, the authors propose an unsupervised terrain and land-use classification algorithm for polarimetric synthetic aperture radar (SAR) image analysis. Under the non-reflection symmetry condition, the non-negative eigenvalue decomposition (NNED) employing Arii volume scattering model is derived. They first apply NNED to divide pixels into three categories of surface, volume and double bounce scatterings. Then the pixels in each category are further divided into several classes based on the scattering characteristic parameter of the dominant scattering component. Utilising the initial classification result as training sets, the complex Wishart classifier can then be performed within each category or beyond categories to refine the final classification result. The effectiveness of this algorithm is demonstrated using the German Aerospace Center's E-SAR polarimetric data acquired over the Oberpfaffenhofen area in Germany.
Starting Page	957
Ending Page	964
Page Count	8
ISSN	17518784
Volume Number	8
e-ISSN	17518792
Issue Number	Issue 8, Oct (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/8/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2014.0076
Journal	IET Radar, Sonar & Navigation
Publisher Date	2014-03-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Arii Volume Scattering Model Computer Vision And Image Processing Technique Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Dominant Scattering Component Double Bounce Scatterings Eigen Values And Eigen Function Geophysical Image Processing Geophysical Technique And Equipment Geophysics Computing German AeroSpace Center E-SAR Polarimetric Data Germany Graph Theory Image Classification Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Land Use Land-use Classification Algorithm NNED Nonnegative Eigenvalue Decomposition Nonreflection Symmetry Condition Oberpfaffenhofen Area Polarimetric Synthetic Aperture Radar Image Analysis Radar Equipment Radar Polarimetry Remote Sensing by Radar Scattering Characteristic Parameter Set Theory Surface Scattering Surface Scattering Model Synthetic Aperture Radar System And Application Terrain Mapping Unsupervised Terrain Classification Volume Scattering Model Wishart Classifier
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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