Thomas Oberlin

Associate Professor

ISAE-SUPAERO

France

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Dr. Thomas Oberlin is an Associate Professor at ISAE-SUPAERO in France. His research areas include remote sensing, image processing, and machine learning, as demonstrated by his recent articles on neural network applications for satellite image compression and object detection. He also explores advanced models for the analysis of dynamic PET images and the delineation of agricultural fields using convolutional networks.

Articles (16)

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

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2020

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2020

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2020

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2020

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2020

Collaborators (4)

Nicolas Dobigeon

FRANCE

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Cédric Févotte

CNRS Délégation Midi-Pyrénées

FRANCE

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Sebastià Mijares i Verdú

SPAIN

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marie chabert

Professor

Université de Toulouse

FRANCE

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Thomas Oberlin

Research Interests

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Articles (16)

Online Simplex-Structured Matrix Factorization

Early-season delineation of agricultural fields using a fully convolutional multi-task network and satellite images

Variational Bayes Image Restoration With Compressive Autoencoders

Fixed-Quality Compression of Remote Sensing Images With Neural Networks

A Recurrent CNN for Online Object Detection on Raw Radar Frames

Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images

Reduced-Complexity Multirate Remote Sensing Data Compression With Neural Networks

Automatic Detection and Correction of Random Telegraph Signal Artifacts in Earth Observation Images

One or Two Ridges? An Exact Mode Separation Condition for the Gabor Transform

Reduced-Complexity End-to-End Variational Autoencoder for on Board Satellite Image Compression

Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery

Simulated JWST Data Sets for Multispectral and Hyperspectral Image Fusion

Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling

Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs – Application to High Dimensional Infrared Astronomical Imaging

Negative Binomial Matrix Factorization

Negative Binomial Matrix Factorization

Collaborators (4)

Nicolas Dobigeon

Cédric Févotte

Sebastià Mijares i Verdú

marie chabert

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