中国高校科技期刊研究会第9次会员代表大会在北京召开，中宣部出版局副局长张怀海、教育部科学技术与信息化司一级巡视员张国辉等领导出席会议并发表..
英文简介：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.中文简介：（来自Google、百度翻译）SIAM成像科学杂志 (SIIMS) 涵盖了成像科学的所有领域，并进行了广泛的解释。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反问题; 导致应用于科学，医学，工程和其他领域的各个领域。该杂志的范围应足够广泛，以包括现在按图像处理，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术语组织的领域。可以从SIIMS上发表的手稿中获得数学和/或计算水平的正式方法以及最新的实际结果。SIIMS基于数学和计算，并提供了一个独特的论坛来强调成像科学各个应用领域中方法，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，具有数学和应用的独特组合。SIIMS涵盖了广泛的领域，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。解决SIIMS涵盖的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。特别欢迎在基础和应用方面进行创新的研究论文。SIIMS专注于概念上应用于成像科学各个方面的新思想，方法和基础知识。
