Maximo Larry Lopez Caceres
Orcid: 0000-0002-9748-7120
According to our database1,
Maximo Larry Lopez Caceres
authored at least 14 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Plant Species Classification and Biodiversity Estimation from UAV Images with Deep Learning.
Remote. Sens., October, 2024
Sub-alpine shrub classification using UAV images: Performance of human observers vs DL classifiers.
Ecol. Informatics, 2024
2022
Editorial: AI processing of UAV acquired images for pattern monitoring in natural and urban environments.
Frontiers Robotics AI, 2022
Classifying the Degree of Bark Beetle-Induced Damage on Fir (Abies mariesii) Forests, from UAV-Acquired RGB Images.
Comput., 2022
Comput., 2022
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