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Journal Photo for International Journal of Image and Data Fusion
Peer reviewed only Open Access

International Journal of Image and Data Fusion (IJIDF)

Publisher : Taylor & Francis
Data Assimilation natural hazard monitoring topographic mapping
e-ISSN 1947-9824
p-ISSN 1947-9832
Issue Frequency Quarterly
Impact Factor 1.8
Est. Year 2010
Mobile 4402080520500
DOI YES
Language English
APC YES
Impact Factor Assignee GOOGLE SCHOLAR
Email ijidf@casm.ac.cn

Journal Descriptions

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.

International Journal of Image and Data Fusion (IJIDF) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Data Assimilation, natural hazard monitoring, topographic mapping, landscape mapping, GIS, quality control, remote sensing data , Online or Print , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1947-9832, E-ISSN: 1947-9824, Established: 2010, Impact Factor: 1.8
  • Provides Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing