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20202026
most citedUnsupervised Flood Detection on SAR Time Series

5 citations · 7 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models

Valerio Marsocci, Yuru Jia, Georges Le Bellier +12

Geospatial Foundation Models (GFMs) have emerged as powerful tools for extracting representations from Earth observation data, but their evaluation remains inconsistent and narrow.…

cs.CV2023

Context-Aware Change Detection With Semi-Supervised Learning

Ritu Yadav, Andrea Nascetti, Yifang Ban

Change detection using earth observation data plays a vital role in quantifying the impact of disasters in affected areas. While data sources like Sentinel-2 provide rich optical i…

cs.CV20225 cited

Unsupervised Flood Detection on SAR Time Series

Ritu Yadav, Andrea Nascetti, Hossein Azizpour +1

Human civilization has an increasingly powerful influence on the earth system. Affected by climate change and land-use change, natural disasters such as flooding have been increasi…

cs.CV2022

Building Change Detection using Multi-Temporal Airborne LiDAR Data

Ritu Yadav, Andrea Nascetti, Yifang Ban

Building change detection is essential for monitoring urbanization, disaster assessment, urban planning and frequently updating the maps. 3D structure information from airborne lig…

cs.CV20202 cited

Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles

Ritu Yadav, Axel Vierling, Karsten Berns

This paper presents two variations of architecture referred to as RANet and BIRANet. The proposed architecture aims to use radar signal data along with RGB camera images to form a…