首页 | 本学科首页   官方微博 | 高级检索  
     检索      

中国图像工程:2015
引用本文:章毓晋.中国图像工程:2015[J].上海交通大学学报(农业科学版),2016(5):533-543.
作者姓名:章毓晋
作者单位:清华大学电子工程系, 北京 100084
摘    要:目的 本文是关于中国图像工程的年度文献综述系列之二十一。为了使国内广大从事图像工程研究和图像技术应用的科技人员能够较全面地了解国内图像工程研究和发展的现状,能够方便地查询有关文献,且向期刊编者和作者提供有用的参考,对2015年度图像工程重要文献进行了综述分析。方法 从2015年在国内15种有关图像工程重要中文期刊的共148期上所发表的2975篇学术研究和技术应用文献中,选取出723篇属于图像工程领域的文献,并根据各文献的主要内容将其分别归入图像处理,图像分析,图像理解,技术应用和综述5个大类,然后进一步分入23个专业小类(与前10年相同),并在此基础上分别进行了各期刊各类文献的统计和分析。结果 根据对2015年统计数据的分析可看出:图像分析正得到最多关注,目标跟踪的文献数量有明显增加,图像分割和边缘检测仍然是研究重点,图像匹配融合及其在遥感测绘等的应用再次成为热点。结论 我国图像工程的2015年研究深度和广度仍在提高和扩大,保持了快速进展的势头。

关 键 词:图像工程  图像处理  图像分析  图像理解  技术应用  文献综述  文献统计  文献分类  文献计量学
收稿时间:2016/2/28 0:00:00
修稿时间:2016/3/5 0:00:00

Image engineering in China: 2015
Zhang Yujin.Image engineering in China: 2015[J].Journal of Shanghai Jiaotong University (Agricultural Science),2016(5):533-543.
Authors:Zhang Yujin
Institution:Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Abstract:Objective This is the twenty-first one in the annual survey series of the yearly bibliographies on image engineering in China. The purpose of this survey work is mainly to capture the up-to-date development of image engineering in China, to provide a convenient means of literature searching facility for readers working in related areas, and to supply a useful recommendation for the editors of journals and potential authors of papers. Method Considering the wide distribution of related publications in China, 723 references on image engineering research and technique are selected carefully from 2975 research papers published in 148 issues of a set of 15 Chinese journals. These 15 journals are considered as important journals in which papers concerning image engineering have higher quality and are relatively concentrated. Those selected references are classified first into 5 categories (image processing, image analysis, image understanding, technique application and survey), and then into 23 specialized classes according to their main contents (same as the last 10 years). Some analysis and discussions about the statistics made on the results of classifications by journal and by category are also presented, respectively. Result According to the analysis on the statistics in 2015, it seems that image analysis is getting the most attention, the number of publications on target tracking has a significant increase, image segmentation and edge detection are still the focus of research, image matching and fusion in remote sensing, mapping and other applications once again become a hot spot. Conclusion This work shows a general and off-the-shelf picture of the various progresses, either for depth or for width, of image engineering in China in 2015.
Keywords:image engineering  image processing  image analysis  image understanding  technique application  literature survey  literature statistics  literature classification  bibliometrics
点击此处可从《上海交通大学学报(农业科学版)》浏览原始摘要信息
点击此处可从《上海交通大学学报(农业科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号