深空探测学报（中英文）2025，Vol.12Issue(2)：190-204,15.DOI:10.15982/j.issn.2096-9287.2025.20250010
MSFNet:一种利用数字高程模型和增强特征融合的月球撞击坑检测网络
MSFNet:A Network for Lunar Impact Crater Detection Based on Enhanced Feature Fusion with Digital Elevation Model
摘要
Abstract
Lunar impact crater detection is crucial for lunar surface studies and spacecraft landing missions,yet deep learning still struggles with accurately detecting small craters,especially when relying on incomplete catalogs.In this work,we integrate Digital Elevation Model(DEM)data to construct a high-quality dataset enriched with slope information,enabling a detailed analysis of crater features and effectively improving detection performance in complex terrains and low-contrast areas.Based on this foundation,we propose a novel two-stage detection network,MSFNet,which leverages multi-scale adaptive feature fusion and multi-size ROI pooling to enhance the recognition of craters across various scales.Experimental results demonstrate that MSFNet achieves an F1 score of 74.8%on Test Region1 and a recall rate of 87%for craters with diameters larger than 2 km.Moreover,it shows exceptional performance in detecting sub-kilometer craters by successfully identifying a large number of high-confidence,previously unlabeled targets with a low false detection rate confirmed through manual review.This approach offers an efficient and reliable deep learning solution for lunar impact crater detection.关键词
目标检测/深度学习/DEM/撞击坑Key words
object detection/deep learning/impact crater/DEM分类
天文与地球科学引用本文复制引用
何蔚东,赖嘉龙,钟志成,崔飞飞,徐懿,张小平..MSFNet:一种利用数字高程模型和增强特征融合的月球撞击坑检测网络[J].深空探测学报（中英文）,2025,12(2):190-204,15.基金项目
National Natural Science Foundation of China(12103020,12363009) （12103020,12363009）
Natural Science Foundation of Jiangxi Province(20224BAB211011) （20224BAB211011）
Open Project Program of State Key Laboratory of Lunar and Planetary Sciences(Macau University of Science and Technology)(Macau FDCT grant No.002/2024/SKL) （Macau University of Science and Technology）
Youth Talent Project of Science and Technology Plan of Ganzhou(2022CXRC9191,2023CYZ26970) （2022CXRC9191,2023CYZ26970）
