Current Projects
Child Sexual Abuse Material (CSAM) Detection
Dense Labeling of Remote Sensing Images in the Wild
Pattern recognition using small annotated data sets
Past Projects
AI Methodologies For Environmental Monitoring
Diagnosis Aid Using Chest X-Ray and Deep Learning
Automatic Thematic Maps Using Multiple Sensors
Deep Representations for Large-Scale Geo-Mapping
Artificial Intelligence Systems for External Control
Partners
Our team has conducted/participated in various consulting and R&D activities with companies and important public institutions. We have also wide experience in Continuing Education Programs (extension school) for industry professionals.
News
📢🌳🛰️Happy that the first of our two papers on mapping deforestation and degradation using #PlanetNICFI and #deeplearning is out!
On this one, we train a U-Net to segment tree cover and obtain #deforestation maps at 5-m resolution every 6 months from 2016-2021 at Mato Grosso. https://twitter.com/FabienWagner/status/1615235092795871232
Details are posted for the 1st Machine Learning for Remote Sensing Workshop to be hosted at @iclr_conf, May 5 in Kigali. We look forward to your submissions and participation. See you in Kigali! #ICLR2023
- Website: https://nasaharvest.github.io/ml-for-remote-sensing/iclr2023
- Submission deadline: Feb 3, 2023 https://twitter.com/hannah_kerner/status/1597329114327056384
"If the community feels that aiming to solve high-impact real-world problems with machine learning is of limited significance, then what are we trying to achieve?"
https://www.technologyreview.com/2020/08/18/1007196/ai-research-machine-learning-applications-problems-opinion/
