Optical-radar fusion for rip-channel detection from Sentinel data
Inria · Montpellier
Research instituteonsiteinternshipTraineeship grant depending on attendance hours
At a glance
Highlights
- Fuse Sentinel-1 SAR with Sentinel-2 to detect rip channels on Atlantic coast.
- Build on BAISen2 dataset of 2,058 patches across 42 coastal sites.
- Evaluate DETR detectors to advance beach drowning-risk research.
Ideal candidate
A motivated ML or remote-sensing student curious about Earth observation and coastal safety who enjoys applied research and building detection models from satellite data.
Requirements
- Advanced Python programming skills
- Proficiency in deep learning with PyTorch
- Background in machine learning, computer vision or remote sensing
- Experience with object detection is appreciated
- Experience with SAR or satellite data is a plus
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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