Presents a new Sentinel-1/2 flood dataset for the contiguous US and reports SAR mapping gains from misalignment-robust training and generative despeckling versus classical filters.
A change detection approach to flood inundation mapping using multi-temporal Sentinel-1 SAR images, the Brahmaputra River, Assam (India): 2015–2020,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative Despeckling
Presents a new Sentinel-1/2 flood dataset for the contiguous US and reports SAR mapping gains from misalignment-robust training and generative despeckling versus classical filters.