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Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling.

, , , , , , , and . IGARSS (4), page 73-76. IEEE, (2008)

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A robust neural network design for detecting changes from multispectral satellite imagery., , , and . IGARSS, page 2378-2381. IEEE, (2007)Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest., , , , , , , , , and 7 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (3): 1324-1340 (2013)Investigating the Resolution-Performance Trade-off of Object Detection Models in Support of the Sustainable Development Goals., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)On the relative predictive value of the new spectral bands in the WorldWiew-2 sensor., , and . IGARSS, page 2723-2726. IEEE, (2010)Unsupervised change detection frameworks for very high spatial resolution images., , and . IGARSS, page 2567-2570. IEEE, (2010)Spectral-textural endmember extraction., , , and . WHISPERS, page 1-4. IEEE, (2010)Responsible AI for Earth Observation., , , , , , , , , and 2 other author(s). CoRR, (2024)Morphological Operators Applied to X-band SAR for Urban Land Use Classification., , and . IGARSS (4), page 506-509. IEEE, (2009)Urban Land-Use Multi-Scale Textural Analysis., , and . IGARSS (5), page 342-345. IEEE, (2008)The Local Mutual Information invariance: Application to change detection between multispectral images., and . MultiTemp, page 1-4. IEEE, (2013)