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ICASSP
2011
IEEE
10 years 5 months ago
Marker-based Hierarchical Segmentation and classification approach for hyperspectral imagery
The Hierarchical SEGmentation (HSEG) algorithm, which is a combination of hierarchical step-wise optimization and spectral clustering, has given good performances for hyperspectra...
Yuliya Tarabalka, James C. Tilton, Jon Atli Benedi...
CVPR
2011
IEEE
10 years 9 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
10 years 11 months ago
High Performance Computing for Hyperspectral Image Analysis: Perspective and State-of-the-art
The main purpose of this paper is to describe available (HPC)based implementations of remotely sensed hyperspectral image processing algorithms on multi-computer clusters, heterog...
Antonio Plaza, Qian Du, Yang-Lang Chang
IGARSS
2010
10 years 11 months ago
Spatial-spectral endmember extraction from remotely sensed hyperspectral images using the watershed transformation
In this paper, we investigate the use of the watershed transformation for integrating spatial and spectral information in the process of endmember extraction for spectral unmixing...
Maciel Zortea, Antonio J. Plaza
ICPR
2008
IEEE
11 years 8 months ago
Endmember detection using the Dirichlet process
An endmember detection algorithm for hyperspectral imagery using the Dirichlet process to determine the number of endmembers in a hyperspectral image is described. This algorithm ...
Alina Zare, Paul D. Gader
books