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GPU Implementation of an Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis.

, , , and . IEEE Geosci. Remote. Sens. Lett., 10 (2): 221-225 (2013)

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GPU implementation of a constrained hyperspectral coded aperture algorithm for compressive sensing., , , , , and . WHISPERS, page 1-4. IEEE, (2015)Performance versus energy consumption of hyperspectral unmixing algorithms on multi-core platforms., , , , and . EURASIP J. Adv. Signal Process., (2013)Parallel implementation of a hyperspectral data geometry-based estimation of number of endmembers algorithm., , , , and . Real-Time Image and Video Processing, volume 9897 of SPIE Proceedings, page 989708. SPIE, (2016)GPU implementation of a hyperspectral coded aperture algorithm for compressive sensing., , , , , and . IGARSS, page 521-524. IEEE, (2015)Deep Learning for Land Cover Classification Using Only a Few Bands., , , , , , , and . Remote. Sens., 12 (12): 2000 (2020)An Accurate Vegetation and Non-Vegetation Differentiation Approach Based on Land Cover Classification., , , , , and . Remote. Sens., 12 (23): 3880 (2020)Portability and Acceleration of Deep Learning Inferences to Detect Rapid Earthquake Damage From VHR Remote Sensing Images Using Intel OpenVINO Toolkit., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)FPGA Implementation of an Algorithm for Automatically Detecting Targets in Remotely Sensed Hyperspectral Images., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (9): 4334-4343 (2016)Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis., , , , , , and . IGARSS, page 9835-9838. IEEE, (2019)Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification., , , , , and . IEEE Geosci. Remote. Sens. Lett., 16 (5): 776-780 (2019)