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期刊名
SIAM Journal on Imaging Sciences
SIAM J IMAGING SCI
ISSN / eISSN
1936-4954
目标和范围
SIAM Journal on Imaging Sciences (SIIMS) covers all areas of imaging sciences, broadly interpreted. It includes image formation, image processing, image analysis, image interpretation and understanding, imaging-related machine learning, and inverse problems in imaging; leading to applications to diverse areas in science, medicine, engineering, and other fields. The journal’s scope is meant to be broad enough to include areas now organized under the terms image processing, image analysis, computer graphics, computer vision, visual machine learning, and visualization. Formal approaches, at the level of mathematics and/or computations, as well as state-of-the-art practical results, are expected from manuscripts published in SIIMS. SIIMS is mathematically and computationally based, and offers a unique forum to highlight the commonality of methodology, models, and algorithms among diverse application areas of imaging sciences. SIIMS provides a broad authoritative source for fundamental results in imaging sciences, with a unique combination of mathematics and applications.
SIIMS covers a broad range of areas, including but not limited to image formation, image processing, image analysis, computer graphics, computer vision, visualization, image understanding, pattern analysis, machine intelligence, remote sensing, geoscience, signal processing, medical and biomedical imaging, and seismic imaging. The fundamental mathematical theories addressing imaging problems covered by SIIMS include, but are not limited to, harmonic analysis, partial differential equations, differential geometry, numerical analysis, information theory, learning, optimization, statistics, and probability. Research papers that innovate both in the fundamentals and in the applications are especially welcome. SIIMS focuses on conceptually new ideas, methods, and fundamentals as applied to all aspects of imaging sciences.
SIIMS covers a broad range of areas, including but not limited to image formation, image processing, image analysis, computer graphics, computer vision, visualization, image understanding, pattern analysis, machine intelligence, remote sensing, geoscience, signal processing, medical and biomedical imaging, and seismic imaging. The fundamental mathematical theories addressing imaging problems covered by SIIMS include, but are not limited to, harmonic analysis, partial differential equations, differential geometry, numerical analysis, information theory, learning, optimization, statistics, and probability. Research papers that innovate both in the fundamentals and in the applications are especially welcome. SIIMS focuses on conceptually new ideas, methods, and fundamentals as applied to all aspects of imaging sciences.
研究方向
成像科学与照相技术
应用数学
计算机:人工智能
CiteScore
3.80
查看趋势图
CiteScore 学科排名
类别 | 分区 | 排名 |
---|---|---|
Mathematics - General Mathematics | Q1 | #45/399 |
Mathematics - Applied Mathematics | Q1 | #153/635 |
Web of Science 核心收藏夹
Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
---|---|
Indexed | - |
类别 (Journal Citation Reports 2024) | 分区 |
---|---|
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q3 |
COMPUTER SCIENCE, SOFTWARE ENGINEERING | Q2 |
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | Q3 |
MATHEMATICS, APPLIED | Q1 |
H-index
53
出版国家或地区
UNITED STATES
出版商
Society for Industrial and Applied Mathematics Publications
出版周期
Quarterly
出版年份
2008
年文章数
74
Open Access
NO
通讯方式
SIAM PUBLICATIONS, 3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, USA, PA, 19104-2688
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