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Ricardo Dal Molin
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2020 – today
- 2024
- [c6]Ricardo Dal Molin, Paola Rizzoli, Laetitia Thirion-Lefevre, Régis Guinvarc'h:
Towards a Large-Scale Rainforest Mapping System with Sentinel-1 Short Time Series. IGARSS 2024: 4443-4446 - 2023
- [c5]Paola Rizzoli, Ricardo Dal Molin, Daniel Carcereri, José-Luis Bueso-Bello:
Sentinel-1 and TanDEM-X InSAR Coherence for Monitoring Forests Using Deep Learning. IGARSS 2023: 433-436 - [c4]José-Luis Bueso-Bello, Ricardo Dal Molin, Daniel Carcereri, Philipp Posovszky, Carolina González, Michele Martone, Paola Rizzoli:
Monitoring Forest Degradation in the Amazon Basin with Tandem-X High-Resolution Images and Deep Learning Techniques. IGARSS 2023: 1473-1476 - 2022
- [j1]Ricardo Dal Molin
, Paola Rizzoli
Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series. Remote. Sens. 14(6): 1381 (2022) - 2020
- [c3]Alexandre Becker Campos, Ricardo Dal Molin, Viet Thuy Vu, Mats I. Pettersson
Unsupervised Automatic Target Detection for Multitemporal SAR Images based on Adaptive K-means Algorithm. IGARSS 2020: 328-331
2010 – 2019
- 2019
- [c2]Ricardo Dal Molin, Rafael A. S. Rosa, Fábio M. Bayer, Mats I. Pettersson
A Change Detection Algorithm for Sar Images Based on Logistic Regression. IGARSS 2019: 1514-1517 - 2017
- [c1]Ana C. F. Fabrin, Ricardo Dal Molin, Dimas Irion Alves
A CFAR optimization for low frequency UWB SAR change detection algorithms. IGARSS 2017: 1071-1074
Coauthor Index
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last updated on 2024-09-28 02:23 CEST by the dblp team
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