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GPU-CUDA

Implementation of Abundance Estimation Algorithms Using NVIDIA CUDA. About the initialization of the algorithm. In Dr. Yahya Masalmahs Thesis. The unmixing of the hyperspectral imagery HI cube obtained from the images of a certain area formed by the spectral bands taken by the sensors. Is not done in the original HI because of its high quantity of data. In 1 the solution presented to reduce the data of HI without losing much of the original spectral information is band selection. 5 Compute X 1.

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GPU-CUDA

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Implementation of Abundance Estimation Algorithms Using NVIDIA CUDA. About the initialization of the algorithm. In Dr. Yahya Masalmahs Thesis. The unmixing of the hyperspectral imagery HI cube obtained from the images of a certain area formed by the spectral bands taken by the sensors. Is not done in the original HI because of its high quantity of data. In 1 the solution presented to reduce the data of HI without losing much of the original spectral information is band selection. 5 Compute X 1.

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This website has the following in the site, "Implementation of Abundance Estimation Algorithms Using NVIDIA CUDA." We analyzed that the web page also stated " About the initialization of the algorithm." It also stated " The unmixing of the hyperspectral imagery HI cube obtained from the images of a certain area formed by the spectral bands taken by the sensors. Is not done in the original HI because of its high quantity of data. In 1 the solution presented to reduce the data of HI without losing much of the original spectral information is band selection."

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