Sarah Kentsch
Orcid: 0000-0001-5693-5217
According to our database1,
Sarah Kentsch
authored at least 9 papers
between 2020 and 2021.
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Bibliography
2021
Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning.
Sensors, 2021
Correction: Nguyen et al. Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote Sens. 2021, 13, 260.
Remote. Sens., 2021
Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning.
Remote. Sens., 2021
Remote. Sens., 2021
2020
Computer Vision and Deep Learning Techniques for the Analysis of Drone-Acquired Forest Images, a Transfer Learning Study.
Remote. Sens., 2020
Detection of Invasive Species in Wetlands: Practical DL with Heavily Imbalanced Data.
Remote. Sens., 2020
Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning.
CoRR, 2020
Comparison of Algorithms for Tree-top Detection in Drone Image Mosaics of Japanese Mixed Forests.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020
A Preliminary Study on Tree-Top Detection and Deep Learning Classification Using Drone Image Mosaics of Japanese Mixed Forests.
Proceedings of the Pattern Recognition Applications and Methods, 2020