Free online access: Inaugural issue
International Journal of Image and Data Fusion is a subscription-based journal providing 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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Authors can choose to publish gold open access in this journal.
Read the Instructions for Authors for information on how to submit your article.
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