Projects per year
Collaborations and top research areas from the last five years
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CDL gEOhum: CD Laboratory for geospatial and EO-based humanitarian technologies
Lang, S. (Principal Investigator), Füreder, P. (Co-Investigator), Wendt, L. (Co-Investigator), Schernthanner-Hofer, B. (Co-Investigator), Tiede, D. (Co-Investigator), Riedler, B. (Co-Investigator), Kienberger, S. (Co-Investigator), Streifeneder, V. (Co-Investigator), Dabiri, Z. (Co-Investigator), Jaggy, N. (Co-Investigator), Gella, G. W. (Co-Investigator), Petutschnig, L. (Co-Investigator) & Gao, Y. (Co-Investigator)
1/07/20 → 30/06/25
Project: Research
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Deep_Crop: Integration of open-source solutions with deep learning for estimating crop production in data-scarce smallholder farming areas
Lang, S. (Principal Investigator) & Gella, G. W. (Co-Investigator)
1/05/22 → 31/05/23
Project: Research
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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
Gella, G. W., Gangloff, H., Wendt, L., Tiede, D. & Lang, S., 2024, In: IEEE Transactions on Geoscience and Remote Sensing. 62, p. 1-18 18 p., 4701018.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep learning powered non-local speckle filtering of sentinel-1 imagery and its potential for humanitarian action.
Jaggy, N., Gella, G. W., Dabiri, Z., Lang, S., Wendt, L. & Braun, A., Jul 2023.Research output: Contribution to conference › Paper › peer-review
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Spatially transferable dwelling extraction from Multi-Sensor imagery in IDP/Refugee Settlements: A meta-Learning approach
Gella, G. W., Tiede, D., Lang, S., Wendit, L. & Gao, Y., Mar 2023, In: International Journal of Applied Earth Observation and Geoinformation. 117, 103210.Research output: Contribution to journal › Review article › peer-review
Open Access -
Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas
Gella, G. W., Gangloff, H., Wendt, L., Tiede, D. & Lang, S., 2023, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1162-1165 4 p. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2023-July).Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
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Comparing OBIA-Generated Labels and Manually Annotated Labels for Semantic Segmentation in Extracting Refugee-Dwelling Footprints
Gao, Y., Lang, S., Gella, G. W., Tiede, D. & Wendt, L., 5 Nov 2022, In: Applied sciences: APPS. 12, 21, 11226.Research output: Contribution to journal › Article › peer-review
Open Access
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Integration of sparse multi-source earth observation data with deep learning for crop type and yield estimation in smallholder farming areas
Gella, G. W. (Speaker) & Lang, S. (Speaker)
23 Oct 2024 → 26 Oct 2024Activity: Talk or presentation › Oral presentation › science to science / art to art
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Leveraging Mono-temporal Images for Building Change Detection in Temporary Settlement Areas
Gella, G. W. (Speaker) & Lang, S. (Speaker)
15 Jul 2024 → 16 Jul 2024Activity: Talk or presentation › Oral presentation › science to science / art to art
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Deep Learning for Cross-Domain Building Change Detection from Multi-Source Very High-Resolution Satellite Imagery
Gella, G. W. (Speaker) & Lang, S. (Speaker)
7 Jul 2024 → 12 Jul 2024Activity: Talk or presentation › Oral presentation › science to science / art to art
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Integrating AI with earth Observation for building extraction in FDP settlement areas: Prospects and Challenges.
Gella, G. W. (Speaker)
23 Oct 2023 → 26 Oct 2023Activity: Talk or presentation › Oral presentation › science to science / art to art
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VARIATIONAL AUTOENCODERS FOR UNSUPERVISED OBJECT COUNTING FROM VHR IMAGERY: APPLICATIONS IN DWELLING EXTRACTION FROM FORCIBLY DISPLACED PEOPLE SETTLEMENT AREAS
Gella, G. W. (Speaker)
16 Jul 2023 → 21 Jul 2023Activity: Talk or presentation › Oral presentation › science to science / art to art