NDLI: A structure tensor for hyperspectral images

Content Provider	IEEE Xplore Digital Library
Author	Marin-McGee, M. Velez-Reyes, M.
Copyright Year	2011
Description	Author affiliation: Laboratory for Applied Remote Sensing and Image Processing, University of Puerto Rico-Mayaguez, PR, USA (Marin-McGee, M.; Velez-Reyes, M.)
Abstract	In this article, a structure tensor for hyperspectral images (HSI) is proposed. A weighted zero mean smoothed gradient to calculate the initial matrix field is used. The weights are constructed from the zero mean data by comparison with a normalized absolute value of the median. The problem with the classical definition is the assumption that all bands provide the same amount of edge information giving them the same weights. As a result many non-edge pixels are reinforced producing false edges. Therefore, other processes that depend on the structure tensor will be misguided. The proposed weights are selected from pixel's spectral values that are greater than and closely around the absolute value of the median, reinforcing only the better candidates in the spectra to be edges in their respective spectral interval, therefore making the structure tensor a better edge discriminator. Comparisons of this method with the standard definition of the structure tensor and results of using the proposed method for nonlinear tensor anisotropic diffusion are presented.
Starting Page	1
Ending Page	4
File Size	851655
Page Count	4
File Format	PDF
ISBN	9781457722028
ISSN	21586268
e-ISBN	9781457722011
DOI	10.1109/WHISPERS.2011.6080871
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-06
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tensile stress Anisotropic magnetoresistance Symmetric matrices Image edge detection Structure Tensor Hyperspectal Images Mathematical model Equations Hyperspectral imaging
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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