Parallel supervised land-cover classification system for hyperspectral and multispectral images

Beatriz P. Garcia-Salgado; Volodymyr Ponomaryov; Sergiy Sadovnychiy; Marco Robles-Gonzalez

doi:10.1007/s11554-018-0828-2

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Parallel supervised land-cover classification system for hyperspectral and multispectral images

Beatriz P. Garcia-Salgado Volodymyr Ponomaryov Sergiy Sadovnychiy Marco Robles-Gonzalez

Year: 2018 Journal: Journal of Real-Time Image Processing Vol: 15 (3)Pages: 687-704 Publisher: Springer Science+Business Media

DOI: 10.1007/s11554-018-0828-2

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Keywords:

Multispectral image Computer science Hyperspectral imaging Artificial intelligence Classifier (UML) Pattern recognition (psychology) Contextual image classification Feature extraction Graphics processing unit Land cover Image processing Artificial neural network Remote sensing Image (mathematics) Geography Land use

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Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Parallel supervised land-cover classification system for hyperspectral and multispectral images

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