39 citations · 59 across the 6 of their papers we have counts for
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AI-ready Snow Radar Echogram Dataset (SRED) for climate change monitoring
Oluwanisola Ibikunle, Hara Talasila, Debvrat Varshney +3
Tracking internal layers in radar echograms with high accuracy is essential for understanding ice sheet dynamics and quantifying the impact of accelerated ice discharge in Greenlan…
Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Snow Layers in Radar Echograms
Debvrat Varshney, Masoud Yari, Oluwanisola Ibikunle +4
Airborne radar sensors capture the profile of snow layers present on top of an ice sheet. Accurate tracking of these layers is essential to calculate their thicknesses, which are r…
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar +3
Visual scene understanding is the core task in making any crucial decision in any computer vision system. Although popular computer vision datasets like Cityscapes, MS-COCO, PASCAL…
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks
Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari +1
Global warming is rapidly reducing glaciers and ice sheets across the world. Real time assessment of this reduction is required so as to monitor its global climatic impact. In this…