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» Unsupervised band removal leading to improved classification...
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ACSC
2006
IEEE
13 years 10 months ago
Unsupervised band removal leading to improved classification accuracy of hyperspectral images
Remotely-sensed images of the earth’s surface are used across a wide range of industries and applications including agriculture, mining, defence, geography and geology, to name ...
R. Ian Faulconbridge, Mark R. Pickering, Michael J...
IBPRIA
2009
Springer
13 years 8 months ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...
KES
2008
Springer
13 years 4 months ago
Classification of Hyperspectral Images Compressed through 3D-JPEG2000
Abstract. Classification of hyperspectral images is paramount to an increasing number of user applications. With the advent of more powerful technology, sensed images demand for la...
Ian Blanes, Alaitz Zabala, Gerard Moré, Xav...
CVPR
2003
IEEE
14 years 6 months ago
Independent Component Analysis in a Facial Local Residue Space
In this paper, we propose an ICA(Indepdendent Component Analysis) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known...
Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheo...