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 成像科學期刊 (SIIMS) 涵蓋了成像科學的所有領域，廣義上如此。它包括圖像形成、圖像處理、圖像分析、圖像解釋和理解、與成像相關的機器學習以及成像中的逆問題；可應用于科學、醫學、工程和其他領域的不同領域。該期刊的范圍足夠廣泛，涵蓋目前以圖像處理、圖像分析、計算機圖形學、計算機視覺、視覺機器學習和可視化為術語的領域。SIIMS 上發表的稿件應包含數學和/或計算層面的正式方法以及最先進的實踐結果。SIIMS 以數學和計算為基礎，提供了一個獨特的論壇來強調成像科學不同應用領域的方法、模型和算法的共性。 SIIMS 為成像科學領域的基礎成果提供了廣泛而權威的來源，將數學和應用進行了獨特的結合。

SIIMS 涵蓋了廣泛的領域，包括但不限于圖像形成、圖像處理、圖像分析、計算機圖形學、計算機視覺、可視化、圖像理解、模式分析、機器智能、遙感、地球科學、信號處理、醫學和生物醫學成像以及地震成像。SIIMS 涵蓋的解決成像問題的基礎數學理論包括但不限于諧波分析、偏微分方程、微分幾何、數值分析、信息論、學習、優化、統計和概率。特別歡迎在基礎和應用方面均有創新的研究論文。SIIMS 專注于應用于成像科學各個方面的概念上新的想法、方法和基礎。

Siam Journal On Imaging Sciences創刊于2008年，由Society for Industrial and Applied Mathematics Publications出版商出版，收稿方向涵蓋COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - COMPUTER SCIENCE, SOFTWARE ENGINEERING全領域，此刊是中等級別的SCI期刊，所以過審相對來講不是特別難，但是該刊專業認可度不錯，仍然是一本值得選擇的SCI期刊 。平均審稿速度 12周，或約稿 ，影響因子指數2.1，該期刊近期沒有被列入國際期刊預警名單，廣大學者值得一試。