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Self-Supervised Variational Autoencoder for Unsupervised Object Counting from Very-High-Resolution Satellite Imagery: Applications in Dwelling Extraction in FDP Settlement Areas.

, , , , and . IEEE Trans. Geosci. Remote. Sens., (2024)

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Deep Learning Powered Non-Local Speckle Filtering of Sentinel-1 Imagery and its Potential for Humanitarian Action., , , , , and . IGARSS, page 818-821. IEEE, (2023)Mapping of Dwellings in IDP/Refugee Settlements from Very High-Resolution Satellite Imagery Using a Mask Region-Based Convolutional Neural Network., , , , , , and . Remote. Sens., 14 (3): 689 (2022)Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas., , , , and . IGARSS, page 1162-1165. IEEE, (2023)Self-Supervised Variational Autoencoder for Unsupervised Object Counting from Very-High-Resolution Satellite Imagery: Applications in Dwelling Extraction in FDP Settlement Areas., , , , and . IEEE Trans. Geosci. Remote. Sens., (2024)Comparing the robustness of U-Net, LinkNet, and FPN towards label noise for refugee dwelling extraction from satellite imagery., , , , and . GHTC, page 88-94. IEEE, (2022)Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Spatially transferable dwelling extraction from Multi-Sensor imagery in IDP/Refugee Settlements: A meta-Learning approach., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (March 2023)