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Sarah Kentsch
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2020 – today
- 2021
- [j6]Ha-Thanh Nguyen, Maximo Larry Lopez Caceres
, Koma Moritake, Sarah Kentsch
Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote. Sens. 13(2): 260 (2021) - [j5]Ha-Thanh Nguyen, Maximo Larry Lopez Caceres, Koma Moritake, Sarah Kentsch
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. 13(11): 2100 (2021) - [j4]Yago Diez
Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review. Remote. Sens. 13(14): 2837 (2021) - [j3]Sarah Kentsch
Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning. Sensors 21(2): 471 (2021) - 2020
- [j2]Sarah Kentsch
Computer Vision and Deep Learning Techniques for the Analysis of Drone-Acquired Forest Images, a Transfer Learning Study. Remote. Sens. 12(8): 1287 (2020) - [j1]Mariano Cabezas
Detection of Invasive Species in Wetlands: Practical DL with Heavily Imbalanced Data. Remote. Sens. 12(20): 3431 (2020) - [c2]Yago Diez
A Preliminary Study on Tree-Top Detection and Deep Learning Classification Using Drone Image Mosaics of Japanese Mixed Forests. ICPRAM (Revised Selected Papers) 2020: 64-86 - [c1]Yago Diez, Sarah Kentsch, Maximo Larry Lopez Caceres, Ha-Thanh Nguyen, Daniel Serrano, Ferran Roure
Comparison of Algorithms for Tree-top Detection in Drone Image Mosaics of Japanese Mixed Forests. ICPRAM 2020: 75-87 - [i1]Sarah Kentsch, Savvas Karatsiolis, Andreas Kamilaris
Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning. CoRR abs/2007.08907 (2020)
Coauthor Index
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