Follow
Mohamad Hakam Shams Eddin
Mohamad Hakam Shams Eddin
University of Bonn
Verified email at iai.uni-bonn.de - Homepage
Title
Cited by
Cited by
Year
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
Focal-TSMP: Deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation
MHS Eddin, J Gall
The system can't perform the operation now. Try again later.
Articles 1–5