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Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons.

, , , , , , , , , and . CoRR, (2024)

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A Novel Hyperspectral Target Detection Algorithm For Real-Time Applications With Push-Broom Scanners., , and . WHISPERS, page 1-5. IEEE, (2019)A Hardware-Friendly Anomaly Detector for Real-Time Applications With Push-Broom Scanners., , and . WHISPERS, page 1-5. IEEE, (2019)Performance evaluation of state-of-the-art CNN architectures for the on-board processing of remotely sensed images., , , and . DCIS, page 1-6. IEEE, (2021)A Hardware-Friendly Algorithm for the On-Board Compression of Hyperspectral Images., , , , and . WHISPERS, page 1-5. IEEE, (2018)Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons., , , , , , , , , and . CoRR, (2024)Optimal UAV movement control for farming area scanning using hyperspectral pushbroom sensors., , , , , , , and . DCIS, page 1-6. IEEE, (2019)On the Evaluation of Different High-Performance Computing Platforms for Hyperspectral Imaging: An OpenCL-Based Approach., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (11): 4879-4897 (2017)A Novel Use of Hyperspectral Images for Human Brain Cancer Detection using in-Vivo Samples., , , , , , , , and . BIOSIGNALS, page 311-320. SciTePress, (2016)Towards the acceleration of sequential endmember extraction algorithms for time critical applications., , , , and . WHISPERS, page 1-4. IEEE, (2013)A Runtime-Scalable and Hardware-Accelerated Approach to On-Board Linear Unmixing of Hyperspectral Images., , , , , , and . Remote. Sens., 10 (11): 1790 (2018)