Automated crater detection and counting using the hough transform
Access Status
Authors
Date
2014Type
Metadata
Show full item recordCitation
Source Title
ISBN
School
Collection
Abstract
© 2014 IEEE. A manual process for detecting and counting craters on the surface of a planetary body becomes impractical when attempting to survey a large surface area. Similarly, existing automated methods that are effective for specific areas of focus are also impractical for a large data set. We report on the work completed so far in developing a crater detection system to automatically detect craters down to sub-km sizes, across a large portion of a planetary surface. Specifically, we assess the performance of a Hough Transform (HT) for the application and in particular the influence of its preprocessing edge detection phase. Tests are performed on high resolution images of the Martian surface, anticipating a large scale crater counting application for crater chronology on the surface of Mars.
Related items
Showing items related by title, author, creator and subject.
-
Lagain, Anthony ; Servis, Konstantinos; Benedix, Gretchen ; Norman, Christopher; Anderson, Seamus; Bland, Philip (2021)Determining when an impact crater formed is a complex and tedious task. However, this knowledge is crucial to understanding the geological history of planetary bodies and, more specifically, gives information on erosion ...
-
Lagain, Anthony ; Benedix-Bland, Gretchen; Bland, Philip; Towner, Martin; Norman, Chris; Paxman, Jonathan; Chai, Kevin; Meka, Shiv; Anderson, Seamus (2019)Counting impact craters on surfaces of terrestrial bodies is currently the only way to estimate the age of a planetary surface and the duration of geological processes occurred in the past. This approach requires a tedious ...
-
Travis, B.; Bland, Phil; Feldman, W.; Sykes, M. (2018)A 2-D numerical study of the evolution of Ceres from a “frozen mudball” to the present era emphasizes the importance of hydrothermal processes. Particulates released as the “frozen mudball” thaws settle to form a roughly ...