SIPNet & SAHI: Multiscale Sunspot Extraction for High-Resolution Full Solar Images

doi:10.3390/app14010007

	SIPNet & SAHI: Multiscale Sunspot Extraction for High-Resolution Full Solar Images
	Fan, Dongxin 2; Yang, Yunfei 2; Feng, Song 2; Dai, Wei 2; Liang, Bo 2; Xiong JP(熊建萍)1
刊名	APPLIED SCIENCES-BASEL
	2024-01
卷号	14 期号:1
关键词	sunspots multiscale ultra-small SIPNet
DOI	10.3390/app14010007
产权排序	第2完成单位
文献子类	Article
英文摘要	Photospheric magnetic fields are manifested as sunspots, which cover various sizes over high-resolution, full-disk, solar continuum images. This paper proposes a novel deep learning method named SIPNet, which is designed to extract and segment multiscale sunspots. It presents a new Switchable Atrous Spatial Pyramid Pooling (SASPP) module based on ASPP, employs an IoU-aware dense object detector, and incorporates a prototype mask generation technique. Furthermore, an open-source framework known as Slicing Aided Hyper Inference (SAHI) is integrated on top of the trained SIPNet model. A comprehensive sunspot dataset is built, containing more than 27,000 sunspots. The precision, recall, and average precision metrics of the SIPNet & SAHI method were measured as 95.7%, 90.2%, and 96.1%, respectively. The results indicate that the SIPNet & SAHI method has good performance in detecting and segmenting large-scale sunspots, particularly in small and ultra-small sunspots. The method also provides a new solution for solving similar problems.
学科主题	天文学
URL标识	查看原文
出版地	ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
资助项目	National Natural Science Foundation of China
WOS关键词	AREAS
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:001139247500001
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
版本	出版稿
源URL	[http://ir.ynao.ac.cn/handle/114a53/26441]
专题	云南天文台_大样本恒星演化研究组
作者单位	1.Yunnan Astronomical Observatories, Kunming 650051, China 2.Faculty of Information Engineering and Automation, Yunnan Key Laboratory of Computer Technology Application, Kunming University of Science and Technology, Kunming 650500, China;
推荐引用方式 GB/T 7714	Fan, Dongxin,Yang, Yunfei,Feng, Song,et al. SIPNet & SAHI: Multiscale Sunspot Extraction for High-Resolution Full Solar Images[J]. APPLIED SCIENCES-BASEL,2024,14(1).
APA	Fan, Dongxin,Yang, Yunfei,Feng, Song,Dai, Wei,Liang, Bo,&熊建萍.(2024).SIPNet & SAHI: Multiscale Sunspot Extraction for High-Resolution Full Solar Images.APPLIED SCIENCES-BASEL,14(1).
MLA	Fan, Dongxin,et al."SIPNet & SAHI: Multiscale Sunspot Extraction for High-Resolution Full Solar Images".APPLIED SCIENCES-BASEL 14.1(2024).