International Journal of Image and Data Fusion is a subscription-based journal focussing on image and data fusion for the method, technology and applications in geoinformatics. It provides a single source of information for a wide range of remote sensing image and data fusion methodologies, developments, techniques and applications. Image and data fusion techniques are important for combining the many sources of satellite, airborne and ground based imaging systems, and integrating these with other related data sets for enhanced information extraction and decision making.
Image and data fusion aims at the integration of multi-sensor, multi-temporal, multi-resolution and multi-platform image data, together with geospatial data, GIS, in-situ, and other statistical data sets for improved information extraction, as well as to increase the reliability of the information. This leads to more accurate information that provides for robust operational performance, i.e. increased confidence, reduced ambiguity and improved classification enabling evidence based management.
This journal focuses on the theories, methodologies and applications of image and data fusion from SAR (Synthetic Aperture Radar) data, LiDAR data and all types of optical images. It also encourages submission on a broad range of topics such as concept studies, new fusion techniques at different processing level, image and data fusion architectures, algorithms, and novel applications. Papers addressing fusion needs for data from new or planned platforms and sensors are specifically invited.
The journal welcomes original research papers, review papers, research letters, technical articles and book reviews in all areas of image and data fusion including, but not limited to, the following aspects and topics:
Automatic registration/geometric aspects of fusing images with different spatial, spectral, temporal resolutions; phase information; or acquired in different modes
Pixel, feature and decision level fusion algorithms and methodologies
Fusion and integration of remote sensing data and crowdsourced data, including social media data, flowing car data, cell phone data, OSM data, etc.
Data Assimilation: fusing data with models
Multi-source classification and information extraction
Integration of satellite, airborne and terrestrial sensor systems
Comprehensive quality control and evaluation techniques for data fusion
Fusing temporal data sets for change detection studies (e.g. for Land Cover/Land Use Change studies)
Big data processing and decision making services based on multi-platform, multi-source, multi-scale, multi-temporal data sets
New digital technologies related to image and data fusion, including, but not limited to data simulation, immersive technologies such as AI, augmented reality, autonomous navigation, 3D real scene, etc.
Data fusion applications in geographic-related fields such as topographic mapping, landscape mapping, GIS, and natural hazard monitoring, etc.
Applications in fusion and statistics between geospatial information and the data from economy, humanities, census, etc. to solve complex societal problems, such as natural resources surveying and monitoring, information security, environmental risk, etc.
IJIDF operates a double-anonymized peer review policy. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.
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98 days avg. from submission to first
post-review decision
10 days avg. from acceptance to online
publication
6% acceptance rate
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Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
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Impact Factor*:
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the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
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the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
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potential in the field.
SJR
(Scimago Journal Rank):
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the average (median) number of days for a manuscript submitted to the
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first decision in the last six months.
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the average (median) number of days for a manuscript submitted to the
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six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
Editor-in-Chief: Jixian Zhang - Ministry of Natural Resources of the People's Republic of China, China
Executive Editor-in-Chief: Qin Yan - Chinese Academy of Surveying and Mapping, China
Associate Editor:
Liang Zhai - Chinese Academy of Surveying and Mapping, China
Letters Editor:
Guoqing Zhou - Old Dominion University, USA
Book Review Editor:
Qiming Zhou - Hong Kong Baptist University, Hong Kong
International Editorial Board:
Alfred Stein -University of Twente, The Netherlands Bin Zou -Central South University, China Christine Pohl -University of Osnabrueck, Germany Dengsheng Lu -Fujian Normal University, China Dongmei Chen -Queens University, Canada Jia Liu -China University of Geosciences, China Jiaojiao Tian -German Aerospace Center DLR, Germany Jie Shan -Purdue University, USA Joaquín Torres-Sospedra -University of Minho, Portugal John van Genderen -University of Twente, The Netherlands Jon Atli Benediktsson -University of Iceland, Iceland Manfred Ehlers -University of Osnabrueck, Germany Mazlan Hashim -Universiti Teknologi Malaysia, Malaysia Mihai Datcu -German Aerospace Center DLR, Germany / Paris Institute of Technology, France Mohamed Ismail Ahmed Abdelkareem -South Valley University, Egypt Nilanchal Patel -Birla Institute of Technology-Mesra, India Oguz Gungor -Ankara University, Turkey Peter Caccetta -CSIRO Mathematics, Informatics and Statistics, Australia Peter Reinartz -German Aerospace Center DLR, Germany Rajendran Sankaran -Qatar University, Qatar Ron Shane Mahabir -George Mason University, USA Shihong Du -Peking University, China Thomas Blaschke -University of Salzburg, Austria Wolfgang Kainz -University of Vienna, Austria Deren Li -Wuhan University, China Xiangguo Lin -Chinese Academy of Surveying and Mapping, China Xinlian Liang -Wuhan University, China Xinming Tang -SBSM Satellite Surveying and Mapping Application Center, China Yongjun Zhang -Wuhan University, China Yulei Xie -Guangdong University of Technology, China Yun Zhang -University of New Brunswick, Canada Zhilin Li -The Hong Kong Polytechnic University, Hong Kong Zhizhong Kang –China University of Geosciences (Beijing), China Zhong Lu -Southern Methodist University, USA
Assistant Editors: Xiaoxia Sun, Wenhan Xie, Ping Xiong - Chinese Academy of Surveying and Mapping, China
Abstracting and indexing
International Journal of Image and Data Fusion is indexed in:
Emerging Sources Citation Index (ESCI)
Cambridge Scientific Abstracts
EBSCO Databases
Scopus
GEOBASE
Ei Compendex
Open access
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