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Quantifying Uncertainty in Slum Detection: Advancing Transfer Learning With Limited Data in Noisy Urban Environments.

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

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Handbuch der Java Programmierung, and . Addison-Wesley, München, 5. Auflage edition, (2008)Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features., , , and . JURSE, page 1-4. IEEE, (2019)Development and Evaluation of an Improved Apparatus for Measuring the Emissivity at High Temperatures., , , , and . Sensors, 21 (18): 6252 (2021)Detecting challenging urban environments using a few-shot meta-learning approach., , , and . JURSE, page 1-4. IEEE, (2023)Large-scale building extraction in very high-resolution aerial imagery using Mask R-CNN, , , , and . 2019 Joint Urban Remote Sensing Event (JURSE), page 1--4. IEEE, (Mai 2019)Modelling the impact of the urban spatial structure on the choice of residential locations using 'big earth data' and machine learning, , , , , and . Joint Urban Remote Sensing Event (JURSE), page 1--4. (2019)Java EE 6: Einstieg für Anspruchsvolle. Addison-Wesley, München, 1 edition, (2011)Wealth, , and . Reviews of United Kingdom statistical sources Pergamon Press, Oxford u.a., (1978)Large-scale building extraction in very high-resolution aerial imagery using Mask R-CNN., , , , and . JURSE, page 1-4. IEEE, (2019)Towards Global Slum Mapping From Space: Detecting Urban Poverty Using a Transfer Learned Fully Convolutional Network, , , and . Phi-week 2019, (September 2019)