… developed for CPU/GPU architectures, this method achieves … [40] designed a parallel
multiclass support vector machine (… (EE) in hyperspectral image processing. This method models …

… remote sensing images analysis, object detection in remote … rigid template and deformable
template according to the template … the performance of the CPU, GPU and our deep learning …

… as medical computing or text and image processing (among … ’s compute device unified
architecture (CUDA) and OpenMP … In particular, we propose a parallel implementation of a multi-…

… patterns U and bS time series V are loaded into the GPU global memory, joining the patterns
… This Section presents an architecture for parallel and distributed processing of spatial time …

… suitable for remote sensing image processing. A spatial … number of patterns, the length of
the time series and the image size as … According to the architecture of the algorithm design, we …

… model of general parallel computing architecture in 2006, … model by designing GPU
parallel programming templates and … remote sensing image processing parallel programming …

… Most RS image processing algorithms could be classified into the following three … Parallel
programing templates for remote sensing image processing on GPU architectures: Design …

… applications because such a hybrid CPU–GPU architecture can … of global execution
patterns. Dataflow models of … , with extracting information from remote sensing being one of the …

… the production of complete smart remote sensing systems with low … methods using parallel
and distributed GPUs architectures. … Remote sensing image analysis as a subset digital image …

… computing as a de facto architecture for big remote sensing … measures and is able to discover
underlying patterns [68]. On the … grid computing for remote sensing image processing when …