3 papers
cs.CV2024
Portraying the Need for Temporal Data in Flood Detection via Sentinel-1
Xavier Bou, Thibaud Ehret, Rafael Grompone von Gioi +1
Identifying flood affected areas in remote sensing data is a critical problem in earth observation to analyze flood impact and drive responses. While a number of methods have been…
cs.CV2023
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery
Ngoc Long Nguyen, Jérémy Anger, Axel Davy +2
High-resolution satellite imagery is a key element for many Earth monitoring applications. Satellites such as Sentinel-2 feature characteristics that are favorable for super-resolu…
cs.CV2023
On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution
Ngoc Long Nguyen, Jérémy Anger, Lara Raad +2
In this work, we study the problem of single-image super-resolution (SISR) of Sentinel-2 imagery. We show that thanks to its unique sensor specification, namely the inter-band shif…