Special Issue on Spectral Imaging for Earth Observation: Intelligent Processing and Innovative Applications
《測繪學報（英文版）》“成像光譜對地觀測: 智能處理與創新應用”專刊
🔷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.
成像光譜對地觀測是遙感、地學、資訊等多領域的前沿交叉學科，在理論發展、技術創新、産業化應用等多個方面不斷突破、蓬勃發展。在人工智能與成像光譜技術快速發展的時代背景下，高光譜遙感資訊擷取與處理更加智能化，結合多源時-空-譜資料，地學機理與人工智能融合，能夠獲得更精細、更準确、更連續的對地觀測能力，更全面、系統地了解地球環境複雜的自然與人文現象。目前，先進的、智能化的多光譜、高光譜等遙感處理技術已在深空探測、資源調查、農村農業發展、生态環境保護、社會可持續發展等領域得到深入應用，并在服務國家重大發展戰略方面發揮着重要作用。
為了及時、集中地反映成像光譜對地觀測的先進技術，本專刊熱忱邀請國内外研究人員圍繞成像光譜機理、成像光譜儀器與系統、高光譜資料智能處理方法等，在城市、大氣、水生、陸地、海洋、深空等領域的資源監測以及相關主題進行投稿。
🔷 Topics | 主題
Topics may include, but are not limited to, the followings:
主題可能包括但不限于以下内容：
▇ Hyperspectral Imaging Mechanisms (成像光譜機理)
▇ Hyperspectral Instruments and Systems (成像光譜儀器與系統技術)
▇ Multispectral and HyperspectralImage Processing(成像光譜與智能處理)
● Image Denoising (去噪)
● Image Super-resolution and Fusion (圖像超分和融合)
● Image Classification (圖像分類)
● Object Detection (目标檢測)
● Anomaly Detection (異常探測)
● Unmixing (像元解混)
▇ Spectral Imaging and Innovative Applications (成像光譜與創新應用)
● Lunar/Planet Detection (月球/行星探測)
● Atmospheric Environment Monitoring (大氣環境監測)
● Aquatic Environment Monitoring (水生環境監測)
● Land Resources Exploration (陸地資源探測)
● Coastal Zone and Marine Monitoring (海岸海洋調查)
● Forestry and Grassland Monitoring(林業草原監測)
● Agricultural and Rural Monitoring (農業農村監測)
🔷 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 | 專刊客座編輯
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：
《測繪學報（英文版）》官網http://jggs.chinasmp.com/
Please note: Spectral Imaging for Earth Observation
投稿請備注：成像光譜對地觀測
Please find submission information and author guidelines at:
http://jggs.chinasmp.com/EN/column/column7.shtml
投稿要求：
稿件格式參見《測繪學報(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:
投稿請聯系：010-68531225 [email protected]
🔷 Editor-in-Chief | 期刊主編
主編 龔健雅院士
龔健雅（1957-），男，攝影測量與遙感學家。2011年當選中國科學院院士，現任武漢大學遙感資訊工程學院和測繪遙感資訊工程國家重點實驗室教授、博士生導師，宇航科學與技術研究院院長。國家傑出青年基金獲得者、973項目首席科學家、國家自然科學基金創新群體學術帶頭人、國家測繪局科技領軍人才、國務院第六、七屆學科評議組測繪學科組召集人，曾任國際攝影測量與遙感學會第六委員會主席，中國海外地理資訊科學學會會長，現任亞洲地理資訊系統協會秘書長，《測繪學報》副主編，《Journal of Geodesy and Geoinformation Science》主編。先後承擔了國家和省部級科研項目40多項。獲國家科技進步創新團隊獎1項、國家科技進步一等獎1項、二等獎4項、省部級特等獎3項，一等獎7項、國際攝影測量與遙感學會（ISPRS）Dolezal成就獎1項。出版專著和教材13部，發表論文500多篇，其中SCI論文100多篇，論著他引共20000多次。指導碩士研究所學生120多名，博士研究所學生70多名。
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🔷 Indexed in | 收錄于
CSTPCD（中國科技核心）
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
初審：段鵬麗複審：宋啟凡
終審：金 君
資訊