Lunar Crater Detection based YoloV5 using CCD Data
Kexin Tang, Jiarui Liang, Pengcheng Yan, Xiaolin Tian
20222022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)14 citationsDOI
Abstract
This paper proofs that one-stage object detection neural network of YoloV5 also performs well on lunar crater detection. The experiment is based on CCD data provided by LROC camera carried by NASA’s Lunar Reconnaissance Orbiter (LRO), and gets a detection result of nearly 75% on test set without any preprocessing operation on the original image.
Topics & Concepts
Impact craterOrbiterComputer scienceObject detectionPreprocessorRemote sensingArtificial intelligenceData setGeologyComputer visionPattern recognition (psychology)AstrobiologyPhysicsAstronomyPlanetary Science and ExplorationRobotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques