Boundary Delineator for Martian Crater Instances with Geographic Information and Deep Learning

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 16; p. 4036
• Main Authors: Liu, Danyang, Cheng, Weiming, Qian, Zhen, Deng, Jiayin, Liu, Jianzhong, Wang, Xunming
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2023
• Subjects: Algorithms; Annotations; Boundaries; crater detection algorithm; Cratering; Critical components; data collection; Data mining; Datasets; Deep learning; Digital Elevation Models; Digital imaging; Elevation; Fractures; geographic information; Geological mapping; Geology; Geomorphology; landscapes; large geographic extent; Lunar surface; Lunar topography; Machine learning; Mars; Mars (Planet); Mars craters; Mars surface; Martian impact craters; Moon; Morphology; Optimization; Planetary evolution; Plate tectonics; Remote sensing; spatial data; Topography; China

Detecting impact craters on the Martian surface is a critical component of studying Martian geomorphology and planetary evolution. Accurately determining impact crater boundaries, which are distinguishable geomorphic units, is important work in geological and geomorphological mapping. The Martian to...