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Forest Disturbance Detection via Self-Supervised and Transfer Learning With Sentinel-1&2 Images.

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

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Feature-Free Explainable Data Mining in SAR Images Using Latent Dirichlet Allocation., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Study and assessment of selected primitive features behaviour for SAR image description., and . IGARSS, page 3596-3599. IEEE, (2012)Detection of Settlements in Tanzania and Mozambique by Many Regional Few-Shot Models., , , , and . IGARSS, page 522-525. IEEE, (2023)Progresses in continuous speech recognition based on statistical modelling for romanian language., , and . ICINCO-SPSMC, page 262-267. INSTICC Press, (2007)Statistical and Hybrid Methods for Speech Recognition in Romanian., , , , , , and . I. J. Speech Technology, 5 (3): 259-268 (2002)How many categories are in very high resolution SAR images?, and . IGARSS, page 4257-4260. IEEE, (2013)Evaluation of Retrieved Categories from a Terrasar-X Benchmarking Data Set., , and . IGARSS, page 2400-2403. IEEE, (2018)Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (4): 1635-1650 (2015)Can a Deep Network Understand the Land Cover Across Sensors?, , , , and . IGARSS, page 9847-9850. IEEE, (2019)Improved image classification by proper patch size selection: TerraSAR-X vs. Sentinel-1A., , , and . IWSSIP, page 1-4. IEEE, (2016)