Ricardo Dal Molin

According to our database, Ricardo Dal Molin authored at least 7 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Towards a Large-Scale Rainforest Mapping System with Sentinel-1 Short Time Series.

Ricardo Dal Molin, Paola Rizzoli, Laetitia Thirion-Lefevre, Régis Guinvarc'h

Proceedings of the IGARSS 2024, 2024

2023

Sentinel-1 and TanDEM-X InSAR Coherence for Monitoring Forests Using Deep Learning.

Paola Rizzoli, Ricardo Dal Molin, Daniel Carcereri, José-Luis Bueso-Bello

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Monitoring Forest Degradation in the Amazon Basin with Tandem-X High-Resolution Images and Deep Learning Techniques.

José-Luis Bueso-Bello, Ricardo Dal Molin, Daniel Carcereri, Philipp Posovszky, Carolina González, Michele Martone, Paola Rizzoli

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series.

Ricardo Dal Molin, Paola Rizzoli

Remote. Sens., 2022

2020

Unsupervised Automatic Target Detection for Multitemporal SAR Images based on Adaptive K-means Algorithm.

Alexandre Becker Campos, Ricardo Dal Molin, Viet Thuy Vu, Mats I. Pettersson, Renato B. Machado

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

A Change Detection Algorithm for Sar Images Based on Logistic Regression.

Ricardo Dal Molin, Rafael A. S. Rosa, Fábio M. Bayer, Mats I. Pettersson, Renato B. Machado

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2017

A CFAR optimization for low frequency UWB SAR change detection algorithms.

Ana C. F. Fabrin, Ricardo Dal Molin, Dimas Irion Alves, Renato B. Machado, Fábio M. Bayer, Mats I. Pettersson

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017