Publications

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2023

Daixin, Zhao; Konrad, Heidler; Milad, Asgarimehr; Caroline, Arnold; Tianqi, Xiao; Jens, Wickert; Xiang, Zhu Xiao; Lichao, Mou

DDM-Former: Transformer networks for GNSS reflectometry global ocean wind speed estimation Journal Article

Remote Sensing of Environment, 294 , pp. 113629, 2023, ISSN: 0034-4257.

Links | BibTeX | Tags: Deep learning, GNSS reflectometry, Ocean wind speed, Transformer networks

Runmin, Dong; Lixian, Zhang; Weijia, Li; Shuai, Yuan; Lin, Gan; Juepeng, Zheng; Haohuan, Fu; Lichao, Mou; Xiang, Zhu Xiao

An adaptive image fusion method for Sentinel-2 images and high-resolution images with long-time intervals Journal Article

International Journal of Applied Earth Observation and Geoinformation, 121 , pp. 103381, 2023, ISSN: 1569-8432.

Links | BibTeX | Tags: Deep learning, High-resolution remote sensing, Multi-source image, Spatial resolution, Super-resolution

Shanyu, Zhou; Lichao, Mou; Yuansheng, Hua; Lixian, Zhang; Hermann, Kaufmann; Xiang, Zhu Xiao

Can we use deep learning models to identify the functionality of plastics from space? Journal Article

International Journal of Applied Earth Observation and Geoinformation, 123 , pp. 103491, 2023, ISSN: 1569-8432.

Links | BibTeX | Tags: Deep learning, Environmental management, Plastic detection, Plastic functionality, Sentinel-2

Xiangyu, Zhao; Jingliang, Hu; Lichao, Mou; Zhitong, Xiong; Xiang, Zhu Xiao

Cross-city Landuse classification of remote sensing images via deep transfer learning Journal Article

International Journal of Applied Earth Observation and Geoinformation, 122 , pp. 103358, 2023, ISSN: 1569-8432.

Links | BibTeX | Tags: Cross-city classification, Deep learning, Domain adaptation, Local climate zone classification, Sentinel-1, Sentinel-2, Transfer learning

Xin-Yi, Tong; Gui-Song, Xia; Xiang, Zhu Xiao

Enabling country-scale land cover mapping with meter-resolution satellite imagery Journal Article

ISPRS Journal of Photogrammetry and Remote Sensing, 196 , pp. 178-196, 2023, ISSN: 0924-2716.

Links | BibTeX | Tags: Classification, Dataset, Deep learning, Domain adaptation, Gaofen-1, Gaofen-2, High-spatial resolution, Land cover mapping, Megacity, PlanetScope, Sentinel-2, Transfer learning

Our project is done in close collaboration with the Technical University of Munich. In particular with the TUM Data Science in Earth Observation (Sipeo) group. The complete list of associated publications might be also interesting for you and is available here.

Artificial Intelligence for Earth Observation