Siam Journal On Imaging Sciences

Journal Title：Siam Journal On Imaging Sciences

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.

SIAM 影像科学杂志 (SIIMS) 涵盖影像科学的所有领域，并进行了广泛的解读。它包括图像形成、图像处理、图像分析、图像解释和理解、与成像相关的机器学习以及成像中的逆问题；导致应用到科学、医学、工程和其他领域的不同领域。该杂志的范围足够广泛，包括现在按照图像处理、图像分析、计算机图形学、计算机视觉、视觉机器学习和可视化等术语组织的领域。预计在 SIIMS 上发表的手稿中会出现数学和/或计算级别的正式方法以及最先进的实际结果。 SIIMS 以数学和计算为基础，并提供了一个独特的论坛来突出成像科学不同应用领域中方法、模型和算法的共性。 SIIMS 为成像科学的基础成果提供了广泛的权威来源，具有独特的数学和应用组合。

SIIMS 涵盖广泛的领域，包括但不限于图像形成、图像处理、图像分析、计算机图形学、计算机视觉、可视化、图像理解、模式分析、机器智能、遥感、地球科学、信号处理、医学和生物医学成像，以及地震成像。 SIIMS 涵盖的解决成像问题的基本数学理论包括但不限于谐波分析、偏微分方程、微分几何、数值分析、信息论、学习、优化、统计和概率。特别欢迎在基础知识和应用方面都有创新的研究论文。 SIIMS 专注于应用于成像科学各个方面的概念上的新想法、方法和基础知识。

Siam Journal On Imaging Sciences创刊于2008年，由SIAM PUBLICATIONS出版商出版，收稿方向涵盖COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - COMPUTER SCIENCE, SOFTWARE ENGINEERING全领域，此期刊水平偏中等偏靠后，在所属细分领域中专业影响力一般，过审相对较易，如果您文章质量佳，选择此期刊，发表机率较高。平均审稿速度>12周，或约稿，影响因子指数2.313，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。