Special Issue on Spectral Imaging for Earth Observation: Intelligent Processing and Innovative Applications
Journal of Surveying and Mapping (English Edition) "Earth Observation with Imaging Spectroscopy: Intelligent Processing and Innovative Applications".
🔷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.
Earth observation by imaging spectroscopy is a cutting-edge interdisciplinary discipline in many fields such as remote sensing, geoscience, and information, and has made breakthroughs and flourished in many aspects such as theoretical development, technological innovation, and industrial application. In the context of the rapid development of artificial intelligence and imaging spectroscopy technology, the acquisition and processing of hyperspectral remote sensing information is more intelligent, combined with multi-source time-space-spectrum data, and the integration of geoscience mechanism and artificial intelligence, which can obtain more refined, accurate and continuous earth observation capabilities, and more comprehensively and systematically understand the complex natural and human phenomena of the earth's environment. At present, advanced and intelligent multispectral, hyperspectral and other remote sensing processing technologies have been deeply applied in the fields of deep space exploration, resource survey, rural agricultural development, ecological environmental protection, and sustainable social development, and play an important role in serving major national development strategies.
In order to reflect the advanced technology of imaging spectroscopy for earth observation in a timely and concentrated manner, this special issue warmly invites researchers at home and abroad to submit papers on resource monitoring and related topics in the fields of urban, atmospheric, aquatic, land, ocean, deep space, etc., focusing on the mechanism of imaging spectroscopy, imaging spectroscopy instruments and systems, and intelligent processing methods of hyperspectral data.
🔷 Topics | topic
Topics may include, but are not limited to, the followings:
Topics may include, but are not limited to, the following:
▇ 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
Submission Method:
Journal of Surveying and Mapping (English Edition) official website http://jggs.chinasmp.com/
Please note: Spectral Imaging for Earth Observation
Please note that the imaging spectrum is for earth observation
Please find submission information and author guidelines at:
http://jggs.chinasmp.com/EN/column/column7.shtml
Submission Requirements:
For the format of the manuscript, please refer to the Journal of Surveying and Mapping (English Edition) Submission Requirements:
http://jggs.chinasmp.com/EN/column/column7.shtml
If you are interested in more information, please do not hesitate to contact:
Please contact: 010-68531225 [email protected]
🔷 Editor-in-Chief | 期刊主编
Editor-in-Chief: Academician Gong Jianya
Gong Jianya (1957-), male, photogrammetry and remote sensing scientist. He was elected as an academician of the Chinese Academy of Sciences in 2011, and is currently a professor and doctoral supervisor of the School of Remote Sensing Information Engineering and the State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering of Wuhan University, and the dean of the Academy of Aerospace Science and Technology. Winner of the National Fund for Distinguished Young Scholars, Chief Scientist of the 973 Project, Academic Leader of the Innovation Group of the National Natural Science Foundation of China, Science and Technology Leading Talent of the State Administration of Surveying and Mapping, Convener of the Surveying and Mapping Discipline Group of the Sixth and Seventh Discipline Evaluation Group of the State Council, Chairman of the Sixth Committee of the International Society of Photogrammetry and Remote Sensing, President of the China Overseas Geographic Information Science Society, Secretary-General of the Asian Geographic Information System Association, Deputy Editor-in-Chief of the Journal of Surveying and Mapping, and Journal of Geodesy and Editor-in-Chief of Geoinformation Science. It has undertaken more than 40 national, provincial and ministerial scientific research projects. He has won 1 National Science and Technology Progress Innovation Team Award, 1 first prize and 4 second prizes of the National Science and Technology Progress Award, 3 provincial and ministerial special prizes, 7 first prizes, and 1 Dolezal Achievement Award of the International Society for Photogrammetry and Remote Sensing (ISPRS). He has published 13 monographs and textbooks, and published more than 500 papers, including more than 100 SCI papers, and he has cited more than 20,000 papers. He has supervised more than 120 master's students and more than 70 doctoral students.
http://www.jygong.com/
🔷 Indexed in | 收录于
CSTPCD (China Science and Technology Core)
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
Preliminary trial: Duan Pengli review: Song Qifan
Final Judge: Jin Jun
information