Special Issue on Spectral Imaging for Earth Observation: Intelligent Processing and Innovative Applications
《测绘学报（英文版）》“成像光谱对地观测: 智能处理与创新应用”专刊
🔷Background | 背景
Spectral imaging for Earth observation is an advanced interdisciplinary research field at the forefront of remote sensing, geoscience, and information technology. It continues to develop and make breakthroughs in theoretical development, technological innovation, and industrial applications. In the era of rapid development in artificial intelligence and spectral imaging technology, the acquisition and processing of hyperspectral remote sensing information have become more intelligent. By integrating multi-source spatio-spectral-temporal data with geoscience mechanisms and artificial intelligence, it is possible to achieve more refined, accurate, and continuous earth observation capabilities, and lead to a more comprehensive and systematic understanding of the complex natural phenomena and human activities in the environment. Currently, advanced and intelligent remote sensing processing technologies such as multispectral and hyperspectral image processing are deeply applied in fields such as deep space exploration, resource investigation, agricultural development, ecological and environmental protection, and social sustainability, and play a significant role in supporting national key development strategies.
To timely and comprehensively capture the advanced technologies in spectral imaging for earth observation, we seek contributions focusing on hyperspectral imaging mechanisms, instruments and systems, and intelligent processing for hyperspectral remote sensing images. These applications are being focused on, such as urban, atmospheric, aquatic, terrestrial, marine, deep space resource monitoring and related topics.
成像光谱对地观测是遥感、地学、信息等多领域的前沿交叉学科，在理论发展、技术创新、产业化应用等多个方面不断突破、蓬勃发展。在人工智能与成像光谱技术快速发展的时代背景下，高光谱遥感信息获取与处理更加智能化，结合多源时-空-谱数据，地学机理与人工智能融合，能够获得更精细、更准确、更连续的对地观测能力，更全面、系统地理解地球环境复杂的自然与人文现象。目前，先进的、智能化的多光谱、高光谱等遥感处理技术已在深空探测、资源调查、农村农业发展、生态环境保护、社会可持续发展等领域得到深入应用，并在服务国家重大发展战略方面发挥着重要作用。
为了及时、集中地反映成像光谱对地观测的先进技术，本专刊热忱邀请国内外研究人员围绕成像光谱机理、成像光谱仪器与系统、高光谱数据智能处理方法等，在城市、大气、水生、陆地、海洋、深空等领域的资源监测以及相关主题进行投稿。
🔷 Topics | 主题
Topics may include, but are not limited to, the followings:
主题可能包括但不限于以下内容：
▇ Hyperspectral Imaging Mechanisms (成像光谱机理)
▇ Hyperspectral Instruments and Systems (成像光谱仪器与系统技术)
▇ Multispectral and HyperspectralImage Processing(成像光谱与智能处理)
● Image Denoising (去噪)
● Image Super-resolution and Fusion (图像超分和融合)
● Image Classification (图像分类)
● Object Detection (目标检测)
● Anomaly Detection (异常探测)
● Unmixing (像元解混)
▇ Spectral Imaging and Innovative Applications (成像光谱与创新应用)
● Lunar/Planet Detection (月球/行星探测)
● Atmospheric Environment Monitoring (大气环境监测)
● Aquatic Environment Monitoring (水生环境监测)
● Land Resources Exploration (陆地资源探测)
● Coastal Zone and Marine Monitoring (海岸海洋调查)
● Forestry and Grassland Monitoring(林业草原监测)
● Agricultural and Rural Monitoring (农业农村监测)
🔷 Paper Submissions Deadline | 投稿截止日期
Welcome to submit your paper by February 28, 2025 on the journal's homepage （http://jggs.chinasmp.com/）. Manuscript formatting and other relevant details can be found on the website. The special issue papers are expected to be published in September 2025 after review. For additional information, please contact [email protected].
🔷 Guest Editors | 专刊客座编辑
Prof. Liangpei Zhang, [email protected]
State key laboratory of information engineering in surveying, mapping, and remote sensing (LIESMARS), Wuhan University, Wuhan 430079, China.
Prof. Yanni Dong, [email protected]
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
Associate Prof. Jie Li, [email protected]
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China.
Associate Prof. Xinghua Li, [email protected]
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.
🔷 Submission Guidelines | 投稿指南
投稿方式：
《测绘学报（英文版）》官网http://jggs.chinasmp.com/
Please note: Spectral Imaging for Earth Observation
投稿请备注：成像光谱对地观测
Please find submission information and author guidelines at:
http://jggs.chinasmp.com/EN/column/column7.shtml
投稿要求：
稿件格式参见《测绘学报(英文版)》投稿要求：
http://jggs.chinasmp.com/EN/column/column7.shtml
If you are interested in more information, please do not hesitate to contact:
投稿请联系：010-68531225 [email protected]
🔷 Editor-in-Chief | 期刊主编
主编 龚健雅院士
龚健雅（1957-），男，摄影测量与遥感学家。2011年当选中国科学院院士，现任武汉大学遥感信息工程学院和测绘遥感信息工程国家重点实验室教授、博士生导师，宇航科学与技术研究院院长。国家杰出青年基金获得者、973项目首席科学家、国家自然科学基金创新群体学术带头人、国家测绘局科技领军人才、国务院第六、七届学科评议组测绘学科组召集人，曾任国际摄影测量与遥感学会第六委员会主席，中国海外地理信息科学学会会长，现任亚洲地理信息系统协会秘书长，《测绘学报》副主编，《Journal of Geodesy and Geoinformation Science》主编。先后承担了国家和省部级科研项目40多项。获国家科技进步创新团队奖1项、国家科技进步一等奖1项、二等奖4项、省部级特等奖3项，一等奖7项、国际摄影测量与遥感学会（ISPRS）Dolezal成就奖1项。出版专著和教材13部，发表论文500多篇，其中SCI论文100多篇，论著他引共20000多次。指导硕士研究生120多名，博士研究生70多名。
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🔷 Indexed in | 收录于
CSTPCD（中国科技核心）
Scopus
CSCD
EBSCO
ProQuest : Earth, Atmospheric & Aquatic Science Database
ProQuest : Publicly Available Content Database
DOAJ（Directory of Open Access Journals）
Academic Focus
China Academic Journal Network Publishing Database
China Core Journal Alternative Database
Chinese Scientific Journal Database
初审：段鹏丽复审：宋启凡
终审：金 君
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