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Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection.

, , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)

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Federated learning meets remote sensing., , , , , and . Expert Syst. Appl., (2024)A tool to assess the communication cost of parallel kernels on heterogeneous platforms., , , and . J. Supercomput., 76 (6): 4629-4644 (2020)Self-Supervised Learning on Small In-Domain Datasets Can Overcome Supervised Learning in Remote Sensing., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Parameter-Free Attention Network for Spectral-Spatial Hyperspectral Image Classification., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification., , , , and . IGARSS, page 2726-2729. IEEE, (2022)Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product., , , , , and . IGARSS, page 1380-1383. IEEE, (2022)Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Analytical Communication Performance Models as a metric in the partitioning of data-parallel kernels on heterogeneous platforms., , , , and . J. Supercomput., 75 (3): 1654-1669 (2019)Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines., , , , and . SN Comput. Sci., 5 (6): 719 (August 2024)