International Journal of Image and Data Fusion provides a single source of information for all aspects of 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.
Journal Home: Journal Homepage
Editor-in-Chief: Jixian Zhang
scope: Pixel, feature and decision level fusion algorithms and methodologies Data Assimilation: fusing data with models Multi-source classification and information extraction Integration of satellite, airborne and terrestrial sensor systems Fusing temporal data sets for change detection studies (e.g. for Land Cover/Land Use Change studies) Image and data mining from multi-platform, multi-source, multi-scale, multi-temporal data sets
Print ISSN: 19479824
Electronic ISSN: 19479832
Abstracting and Indexing: Scopus
Imapct Factor :
Subject Area and Category: Computer Science,Computer Science Applications,Earth and Planetary Sciences,Earth and Planetary Sciences (miscellaneous)
Publication Frequency:
H Index: 30
Q1:
Q2: Earth and Planetary Sciences (miscellaneous)
Q3:
Q4:
Cite Score: 3.4
SNIP: 0.831
Journal Rank(SJR): 0.377
Latest Articles: Latest Articles in International Journal of Image and Data Fusion
Guidelines for Authors: International Journal of Image and Data Fusion Author Guidelines
Paper Submissions: Paper Submissions in International Journal of Image and Data Fusion
Publisher: Taylor and Francis Ltd.
Country: United Kingdom
