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J. Paden

3 papers hereh-index 397.6k citations246 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedAutomatic Estimation of Ice Bottom Surfaces from Radar Imagery

9 citations · 9 across the 1 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2020

Deep Tiered Image Segmentation For Detecting Internal Ice Layers in Radar Imagery

Yuchen Wang, Mingze Xu, John Paden +3

Understanding the structure of Earth's polar ice sheets is important for modeling how global warming will impact polar ice and, in turn, the Earth's climate. Ground-penetrating rad…

cs.CV2020

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…

cs.CV2017★ 9 cited

Automatic Estimation of Ice Bottom Surfaces from Radar Imagery

Mingze Xu, David J Crandall, Geoffrey C Fox +1

Ground-penetrating radar on planes and satellites now makes it practical to collect 3D observations of the subsurface structure of the polar ice sheets, providing crucial data for…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.