Stefan Oehmcke
Assistant Professor
Machine Learning
Universitetsparken 1, 2100 KÃÂøbenhavn ÃÂÃÂ
- 2023
- Published
MAPPING TREE MORTALITY IN CALIFORNIA FROM VERY HIGH RESOLUTION IMAGERY USING DEEP LEARNING
Cheng, Yan, Oehmcke, Stefan, Brandt, Martin Stefan, Das, A., Rosenthal, L., Saatchi, S., Wagner, F., Vrieling, A., Verbruggen, Wim, Beier, Claus & Horion, Stéphanie, 16 Jul 2023.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale
Li, Sizhuo, Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Igel, Christian, Gieseke, Fabian Cristian, Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 2023, In: PNAS Nexus. 2, 4, 16 p., pgad076.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing
Zhang, T., Li, Lei, Igel, Christian, Oehmcke, Stefan, Gieseke, F. & Peng, Z., 2023, IEEE International Conference on Computer and Communications (ICCC). IEEE, 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Mapping and characterising tree mortality in California at individual tree level using deep learning
Cheng, Yan, Oehmcke, Stefan, Brandt, Martin Stefan, Das, A., Rosenthal, L., Saatchi, S., Wagner, F., Verbruggen, Wim, Vrieling, A., Beier, Claus & Horion, Stéphanie, 2023. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research
- Published
More than one quarter of Africa's tree cover is found outside areas previously classified as forest
Reiner, Florian, Brandt, Martin Stefan, Tong, Xiaoye, Skole, D., Kariryaa, Ankit, Ciais, P., Davies, A., Hiernaux, P., Chave, J., Mugabowindekwe, Maurice, Igel, Christian, Oehmcke, Stefan, Gieseke, Fabian Cristian, Li, Sizhuo, Liu, Siyu, Saatchi, S., Boucher, P., Singh, J., Taugourdeau, S., Dendoncker, M., Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, In: Nature Communications. 14, 10 p., 2258.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Multi-scale pseudo labeling for unsupervised deep edge detection
Zhou, C., Yuan, C., Wang, H., Li, Lei, Oehmcke, Stefan, Liu, J. & Peng, J., 2023, In: Knowledge-Based Systems. 280, 15 p., 111057.Research output: Contribution to journal › Journal article › Research › peer-review
- Accepted/In press
Remember to Correct the Bias When Using Deep Learning for Regression!
Igel, Christian & Oehmcke, Stefan, 2023, (Accepted/In press) In: KI - Kunstliche Intelligenz. 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Satellite-based continental-scale inventory of European wetland types at 10m spatial resolution
Kovács, Gyula Mate, Oehmcke, Stefan, Horion, Stéphanie, Gominski, Dimitri Pierre Johannes, Tong, Xiaoye & Fensholt, Rasmus, 2023. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- 2022
- Published
Deep learning based 3D point cloud regression for estimating forest biomass
Oehmcke, Stefan, Li, Lei, Revenga, J. C., Nord-Larsen, Thomas, Trepekli, Aikaterini, Gieseke, F. & Igel, Christian, 1 Nov 2022, 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022. Renz, M., Sarwat, M., Nascimento, M. A., Shekhar, S. & Xie, X. (eds.). Association for Computing Machinery, Inc., p. 1-4 38Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Revenga, J. C., Trepekli, Aikaterini, Oehmcke, Stefan, Jensen, Rasmus, Li, Lei, Igel, Christian, Gieseke, Fabian Cristian & Friborg, Thomas, 2022, In: Remote Sensing. 14, 16, 22 p., 3912.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 209373892
Most downloads
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107
downloads
Creating cloud-free satellite imagery from image time series with deep learning
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
68
downloads
Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
50
downloads
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Research output: Contribution to journal › Journal article › Research › peer-review
Published