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Mohamad Hakam Shams Eddin
Mohamad Hakam Shams Eddin
University of Bonn
在 iai.uni-bonn.de 的电子邮件经过验证 - 首页
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The importance of radiometric feature quality for semantic mesh segmentation
D Laupheimer, MHS Eddin, N Haala
DGPF annual conference, Stuttgart, Germany. Publikationen der DGPF 29, 205-218, 2020
122020
On the association of LiDAR point clouds and textured meshes for multi-modal semantic segmentation
D Laupheimer, MH Shams Eddin, N Haala
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
112020
Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting
MHS Eddin, R Roscher, J Gall
IEEE Transactions on Geoscience and Remote Sensing, 2023
92023
Focal-TSMP: deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation
MH Shams Eddin, J Gall
Geoscientific Model Development 17 (7), 2987-3023, 2024
22024
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