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ICASSP
2011
IEEE
8 years 12 months ago
Robust hyperspectral signal unmixing in the presence of correlated noise
Hyperspectral imaging analysis aims at the estimation of the number of constituent substances, known as endmembers, their spectral signatures as well as their abundance fractions ...
Masoud Farzam, Soosan Beheshti
CVPR
2011
IEEE
9 years 3 months ago
High-resolution Hyperspectral Imaging via Matrix Factorization
Hyperspectral imaging is a promising tool for applications in geosensing, cultural heritage and beyond. However, compared to current RGB cameras, existing hyperspectral cameras ar...
Rei Kawakami, John Wright, Yu-Wing Tai, Yasuyuki M...
IGARSS
2009
9 years 5 months ago
Rapid Detection of Agricultural Food Crop Contamination via Hyperspectral Remote Sensing
In this study, the authors investigate the use of hyperspectral imaging for food crop monitoring and contamination detection and characterization. The authors investigate the use ...
Terrance West, Lori M. Bruce, Saurabh Prasad, Dani...
IGARSS
2009
9 years 5 months ago
Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes
Automated classification of land cover types based on hyperspectral imagery often involves a large geographical area, but class labels are available for only small portions of the...
Goo Jun, Joydeep Ghosh
ICIP
2010
IEEE
9 years 6 months ago
Comparison of merging orders and pruning strategies for Binary Partition Tree in hyperspectral data
Hyperspectral imaging segmentation has been an active research area over the past few years. Despite the growing interest, some factors such as high spectrum variability are still...
Silvia Valero, Philippe Salembier, Jocelyn Chanuss...
JGS
2002
92views more  JGS 2002»
9 years 7 months ago
Mapping of stream microhabitats with high spatial resolution hyperspectral imagery
Maximum likelihood supervised classifications with 1-m 128 band hyperspectral data accurately map in-stream habitats in the Lamar River, Wyoming with producer's accuracies of ...
W. Andrew Marcus
TIP
2008
175views more  TIP 2008»
9 years 8 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...
ISCA
2007
IEEE
217views Hardware» more  ISCA 2007»
9 years 8 months ago
Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
David Valencia, Antonio Plaza, Pablo Martín...
JPDC
2008
217views more  JPDC 2008»
9 years 8 months ago
Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. In particular, NASA is continuously gath...
Antonio J. Plaza
ICPR
2010
IEEE
9 years 8 months ago
Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images
Hyperspectral imaging is a new technique in remote sensing that generates hundreds of images, corresponding to different wavelength channels, for the same area on the surface of t...
Antonio Plaza, Javier Plaza
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