Title :
Parallel Hyperspectral Unmixing on GPUs
Author :
Nascimento, Jose M. P. ; Bioucas-Dias, Jose M. ; Rodriguez Alves, Jose M. ; Silva, Valter ; Plaza, Antonio
Author_Institution :
Inst. de Telecomun., Lisbon, Portugal
Abstract :
This letter presents a new parallel method for hyperspectral unmixing composed by the efficient combination of two popular methods: vertex component analysis (VCA) and sparse unmixing by variable splitting and augmented Lagrangian (SUNSAL). First, VCA extracts the endmember signatures, and then, SUNSAL is used to estimate the abundance fractions. Both techniques are highly parallelizable, which significantly reduces the computing time. A design for the commodity graphics processing units of the two methods is presented and evaluated. Experimental results obtained for simulated and real hyperspectral data sets reveal speedups up to 100 times, which grants real-time response required by many remotely sensed hyperspectral applications.
Keywords :
graphics processing units; hyperspectral imaging; image processing; remote sensing; GPU; SUNSAL; VCA; abundance fraction estimation; augmented Lagrangian; endmember signature extraction; graphics processing unit; parallel hyperspectral unmixing; sparse unmixing by variable splitting; vertex component analysis; Graphics processing units; Hyperspectral imaging; Instruction sets; Kernel; Vectors; Graphics processing unit (GPU); parallel methods; sparse unmixing by variable splitting and augmented Lagrangian (SUNSAL); unsupervised hyperspectral unmixing; vertex component analysis (VCA);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2013.2274328
