activity
20202024
most citedAutomated Crater Detection from Co-registered Optical Images, Elevation Maps and Slope Maps using Deep Learning

34 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

Arbitrary Scale Super-Resolution Assisted Lunar Crater Detection in Satellite Images

Atal Tewari, Nitin Khanna

Craters are one of the most studied planetary features used for different scientific analyses, such as estimation of surface age and surface processes. Satellite images utilized fo…

cs.CV2023★ 7 cited

Deep Learning based Systems for Crater Detection: A Review

Atal Tewari, K Prateek, Amrita Singh +1

Craters are one of the most prominent features on planetary surfaces, used in applications such as age estimation, hazard detection, and spacecraft navigation. Crater detection is…

eess.IV2022★ 1 cited

Automatic Crater Shape Retrieval using Unsupervised and Semi-Supervised Systems

Atal Tewari, Vikrant Jain, Nitin Khanna

Impact craters are formed due to continuous impacts on the surface of planetary bodies. Most recent deep learning-based crater detection methods treat craters as circular shapes, a…

eess.IV2021

In-Orbit Lunar Satellite Image Super Resolution for Selective Data Transmission

Atal Tewari, Chennuri Prateek, Nitin Khanna

Rapid technological advancements have tremendously increased the data acquisition capabilities of remote sensing satellites. However, the data utilization efficiency in satellite m…

eess.IV2020★ 34 cited

Automated Crater Detection from Co-registered Optical Images, Elevation Maps and Slope Maps using Deep Learning

Atal Tewari, Vinay Verma, Pradeep Srivastava +2

Impact craters are formed as a result of continuous impacts on the surface of planetary bodies. This paper proposes a novel way of simultaneously utilizing optical images, digital…