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Estimating the Intrinsic Dimension of Hyperspectral Images Using an
  Eigen-Gap Approach

Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach

22 January 2015
Abderrahim Halimi
P. Honeine
M. Kharouf
C. Richard
J. Tourneret
ArXiv (abs)PDFHTML

Papers citing "Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach"

4 / 4 papers shown
Title
Blind and fully constrained unmixing of hyperspectral images
Blind and fully constrained unmixing of hyperspectral images
R. Ammanouil
A. Ferrari
C. Richard
D. Mary
136
43
0
03 Mar 2014
Nonlinear unmixing of hyperspectral images: models and algorithms
Nonlinear unmixing of hyperspectral images: models and algorithms
N. Dobigeon
J. Tourneret
C. Richard
J. Bermudez
S. Mclaughlin
Alfred Hero
80
419
0
06 Apr 2013
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse
  Regression-Based Approaches
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
J. Bioucas-Dias
Antonio J. Plaza
N. Dobigeon
M. Parente
Q. Du
P. Gader
Jocelyn Chanussot
113
2,575
0
28 Feb 2012
On determining the number of spikes in a high-dimensional spiked
  population model
On determining the number of spikes in a high-dimensional spiked population model
Damien Passemier
Jianfeng Yao
84
56
0
14 Apr 2011
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