International Journal of Image and Data Fusion (IJIDF) 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.
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 theory, methodology 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, shorter letters, technical articles, book reviews and conference reports 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
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 (e.g. geometric information, topological information, statistical information, etc.)
New digital technologies related to image and data fusion, including, but not limited to data simulation, immersive technologies such as virtual reality, augmented reality, 3D object modeling, smart city, etc.
Data fusion applications in geographic-related fields such as topographic 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 national geographical conditions monitoring, information security, etc