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Detecting Burnscar from Hyperspectral Imagery via Sparse Representation
with Low-Rank Interference
release_swb7mtanrzasbbmks7u4yxukoi
by
Minh Dao, Xiang Xiang, Bulent Ayhan, Chiman Kwan, Trac D. Tran
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2016
Abstract
In this paper, we propose a burnscar detection model for hyperspectral
imaging (HSI) data. The proposed model contains two-processing steps in which
the first step separate and then suppress the cloud information presenting in
the data set using an RPCA algorithm and the second step detect the burnscar
area in the low-rank component output of the first step. Experiments are
conducted on the public MODIS dataset available at NASA official website.
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1605.00287v1
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