摘要
本文是关于中国图像工程的年度文献综述系列之二十六。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,有针对性地查询有关文献,且向期刊编者和作者提供有用的参考,对2020年度图像工程相关文献进行了统计和分析。具体是从国内15种有关图像工程重要中文期刊在2020年发行的共154期上所发表的2785篇学术研究和技术应用文献中,选取出813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、技术应用和综述评论5个大类,然后进一步分入23个专业小类(与前15年相同),并在此基础上分别进行各期刊与各类文献的统计和分析。根据对2020年统计数据的分析可以看出:图像分析方向当前得到了最多的关注,其中目标检测和识别、图像分割和边缘检测、人体生物特征提取和验证等都是研究的焦点。另外,遥感、雷达、声呐、测绘以及生物、医学等领域的图像技术开发和应用最为活跃。总的来说,中国图像工程在2020年的研究深度和广度还在继续提高和扩大,仍保持着快速发展的势头。综合26年的统计数据还为读者提供了更全面和更可信的各研究方向发展趋势的信息。
This is the 26 th annual survey series of bibliographies on image engineering in China.This statistic and analysis study aims to capture the up-to-date development of image engineering in China,provide a targeted means of literature searching facility for readers working in related areas,and supply a useful recommendation for the editors of journals and potential authors of papers.Specifically,considering the wide distribution of related publications in China,813 references on image engineering research and technique are selected carefully from 2785 research papers published in 154 issues of a set of 15 Chinese journals.These 15 journals are considered important,in which papers concerning image engineering have higher quality and are relatively concentrated.The selected references are initially classified into five categories(image processing,image analysis,image understanding,technique application,and survey)and then into 23 specialized classes in accordance with their main contents(same as the last 15 years).Analysis and discussions about the statistics of the results of classifications by journal as well as by category are also presented.Analysis on the statistics in 2020 shows that image analysis is receiving the most attention,in which the focuses are mainly on object detection and recognition,image segmentation and edge detection,as well as human biometrics detection and identification.In addition,the studies and applications of image technology in various areas,such as remote sensing,radar,sonar and mapping,as well as biology and medicine are continuously active.In conclusion,this work shows a general and up-to-date picture of the various continuing progresses,either for depth or for width,of image engineering in China in 2020.The statistics for 26 years also provide readers with more comprehensive and credible information on the development trends of various research directions.
作者
章毓晋
Zhang Yujin(Department of Electronic Engineeringy Tsinghua University,Beijing 100084,China)
出处
《中国图象图形学报》
CSCD
北大核心
2021年第5期978-990,共13页
Journal of Image and Graphics
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
image engineering
image processing
image analysis
image understanding
technique application
literature survey
literature statistics
literature classification
bibliometrics
