Cloud implementation of the K-means algorithm for hyperspectral image analysis
Remotely sensed hyperspectral imaging offers the possibility to collect hundreds of images,
at different wavelength channels, for the same area on the surface of the Earth …
at different wavelength channels, for the same area on the surface of the Earth …
A new GPU implementation of support vector machines for fast hyperspectral image classification
The storage and processing of remotely sensed hyperspectral images (HSIs) is facing
important challenges due to the computational requirements involved in the analysis of …
important challenges due to the computational requirements involved in the analysis of …
Low–high-power consumption architectures for deep-learning models applied to hyperspectral image classification
Convolutional neural networks have emerged as an excellent tool for remotely sensed
hyperspectral image (HSI) classification. Nonetheless, the high computational complexity …
hyperspectral image (HSI) classification. Nonetheless, the high computational complexity …
Energy efficiency of load balancing for data-parallel applications in heterogeneous systems
The use of heterogeneous systems in supercomputing is on the rise as they improve both
performance and energy efficiency. However, the programming of these machines requires …
performance and energy efficiency. However, the programming of these machines requires …
Embedded high performance computing for on-board hyperspectral image classification
Jetson TK1 is a recently launched embedded application development platform from
NVIDIA, which features the Tegra K1 processor and Kepler Graphics Processing Unit (GPU) …
NVIDIA, which features the Tegra K1 processor and Kepler Graphics Processing Unit (GPU) …
Real-time hyperspectral anomaly detection system enhanced by graphics processing unit
G Guan, P Li, T Wu - Journal of Applied Remote Sensing, 2018 - spiedigitallibrary.org
Hyperspectral images have the advantages of high spectral resolution and abundant
spectral information, which helps researchers to analyze, process, and monitor land surface …
spectral information, which helps researchers to analyze, process, and monitor land surface …
Energy efficiency of load balancing for data-parallel applications in heterogeneous systems
B Pérez Pavón, E Stafford Fernández, JL Bosque Orero… - 2016 - repositorio.unican.es
The use of heterogeneous systems in supercomputing is on the rise as they improve both
performance and energy e ciency. However, the pro-gramming of these machines requires …
performance and energy e ciency. However, the pro-gramming of these machines requires …