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» Partial generalized correlation for hyperspectral data
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CIDM
2011
IEEE
12 years 8 months ago
Partial generalized correlation for hyperspectral data
Abstract—A variational approach is proposed for the unsupervised assessment of attribute variability of high-dimensional data given a differentiable similarity measure. The key q...
Marc Strickert, Bjorn Labitzke, Volker Blanz
TNN
2008
114views more  TNN 2008»
13 years 4 months ago
Relevance-Based Feature Extraction for Hyperspectral Images
Abstract--Hyperspectral imagery affords researchers all discriminating details needed for fine delineation of many material classes. This delineation is essential for scientific re...
Michael J. Mendenhall, Erzsébet Meré...
EUROMED
2010
13 years 2 months ago
Hyperspectral Ground Truth Data for the Detection of Buried Architectural Remains
The aim of the study is to validate hyperspectral ground data for the detection of buried architectural remains. For this reason spectro-radiometric measurements were taken from an...
Athos Agapiou, Diofantos G. Hadjimitsis, Apostolos...
CSDA
2006
145views more  CSDA 2006»
13 years 4 months ago
An improved method for generalized constrained canonical correlation analysis
An improved method for generalized constrained canonical correlation analysis (GCCANO) is proposed. In the original GCCANO, data matrices were first decomposed into the sum of sev...
Yoshio Takane, Haruo Yanai, Heungsun Hwang
IJRR
2002
159views more  IJRR 2002»
13 years 4 months ago
Mapping Partially Observable Features from Multiple Uncertain Vantage Points
This paper presents a technique for mapping partially observable features from multiple uncertain vantage points. The problem of concurrent mapping and localization (CML) is state...
John J. Leonard, Richard J. Rikoski, Paul M. Newma...