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Detection of Settlements in Tanzania and Mozambique by Many Regional Few-Shot Models.

, , , , and . IGARSS, page 522-525. IEEE, (2023)

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Study and assessment of selected primitive features behaviour for SAR image description., and . IGARSS, page 3596-3599. IEEE, (2012)Feature-Free Explainable Data Mining in SAR Images Using Latent Dirichlet Allocation., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Detection of Settlements in Tanzania and Mozambique by Many Regional Few-Shot Models., , , , and . IGARSS, page 522-525. IEEE, (2023)Earth Observation Data Mining: A Use Case for Forest Monitoring., , , , , and . IGARSS, page 5359-5362. IEEE, (2019)Physics-Aware Feature Learning of Sar Images with Deep Neural Networks: A Case Study., , and . IGARSS, page 1264-1267. IEEE, (2021)Candela: A Cloud Platform for Copernicus Earth Observation Data Analytics., , , , , , , , , and 2 other author(s). IGARSS, page 3104-3107. IEEE, (2020)Automatic Detection of Building Displacements Through Unsupervised Learning From InSAR Data., , , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management., , , , , , , , , and . IGARSS, page 650-653. IEEE, (2023)An Active Learning Tool for the Generation of Earth Observation Image Benchmarks., , and . IGARSS, page 5720-5723. IEEE, (2021)Data Analytics for Rapid Mapping: Case Study of a Flooding Event in Germany and the Tsunami in Japan Using Very High Resolution SAR Images., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (1): 114-129 (2015)