Extreme learning machine (ELM) is an efficient learning algorithm that has been recently
applied to hyperspectral image classification. In this paper, the first implementation of the …

Graphics Processing Units (GPU) are becoming a widespread tool for general-purpose
scientific computing, and are attracting interest for future onboard satellite image processing …

The availability of graphics processing units (GPUs) provides a low-cost solution to real-time
processing, which may benefit many remote sensing applications. In this paper, a spectral …

Extreme Learning Machine (ELM) is a supervised learning technique for a class of
feedforward neural networks with random weights that has recently been used with success …

Profiting from the development of space remote sensing technology, the amount of remote
sensing image data obtained by satellite is increasing dramatically; however, how to deal …

Hyperspectral image processing extracts, stores and manipulates both spatial and spectral
information contained in hyperspectral images across the visible and near-infrared portion of …

The high computational cost of the techniques for segmentation and classification of
hyperspectral images makes them good candidates for parallel processing, in particular, for …

Segmenting multidimensional images, in particular hyperspectral images, is still an open
subject. Two are the most important issues in this field. On one hand, most methods do not …

The techniques for segmentation and classification of hyperspectral images are very costly,
which makes them good candidates for parallel and, in particular, GPU processing. In this …

Graphics Processing Units (GPU) are becoming a widespread tool for general-purpose
scientific computing, and are attracting interest for future on board satellite image processing …