An experimental comparison of parallel algorithms for hyperspectral analysis using heterogeneous and homogeneous networks of workstations
- 1 February 2008
- journal article
- Published by Elsevier in Parallel Computing
- Vol. 34 (2), 92-114
- https://doi.org/10.1016/j.parco.2007.12.005
Abstract
No abstract availableFunding Information
- Ministerio de Educación, Cultura y Deporte (PR2003–0360)
- National Aeronautics and Space Administration
- University of Maryland
- European Commission (MRTN–CT–2006–035927)
This publication has 29 references indexed in Scilit:
- Parallel Implementation of Endmember Extraction Algorithms From Hyperspectral DataIEEE Geoscience and Remote Sensing Letters, 2006
- Commodity cluster-based parallel processing of hyperspectral imageryJournal of Parallel and Distributed Computing, 2006
- On performance analysis of heterogeneous parallel algorithmsParallel Computing, 2004
- A Quantitative and Comparative Analysis of Endmember Extraction Algorithms From Hyperspectral DataIEEE Transactions on Geoscience and Remote Sensing, 2004
- Scheduling strategies for master-slave tasking on heterogeneous processor platformsIEEE Transactions on Parallel and Distributed Systems, 2004
- Differential coding scheme for efficient parallel image composition on a PC cluster systemParallel Computing, 2004
- A distributed spectral-screening PCT algorithmJournal of Parallel and Distributed Computing, 2003
- Spatial/spectral endmember extraction by multidimensional morphological operationsIEEE Transactions on Geoscience and Remote Sensing, 2002
- Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imageryIEEE Transactions on Geoscience and Remote Sensing, 2001
- Massively parallel computing using commodity componentsParallel Computing, 2000