SCIESCOPUSQ4
International Journal of Image and Data Fusion
TAYLOR & FRANCIS LTD, United Kingdom
International Journal of Image and Data Fusion is an academic journal published by TAYLOR & FRANCIS LTD (United Kingdom). Identifiers: ISSN 1947-9832, eISSN 1947-9824. Indexed in SCIE, SCOPUS. Metrics: JIF 1.3, CiteScore 3.9, SJR 0.459, SNIP 0.71. Subject areas: REMOTE SENSING. tlooto lists 421 papers from this journal.
CiteScore
3.90
Scopus citation metric
SJR
0.459
SCImago rank
SNIP
0.71
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 1947-9832
- eISSN
- 1947-9824
- Abbreviation
- INT J IMAGE DATA FUS
- Publisher
- TAYLOR & FRANCIS LTD
- Country
- United Kingdom
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
17061900 General Earth and Planetary Sciences
Papers in this journal
Recent papers
- Multi-sensor remote sensing and machine learning data fusion for high-resolution geologic mapping in vegetated karst terrain of Kentucky, United States
2026
- DeepEddynet: leveraging CBAM, U-Net, and morphological operations for mesoscale eddy detection and classification
2026
- A transformer-based semantic segmentation framework for remote sensing images via spatial-channel cross decoding
2026
- Flue-cured tobacco yield prediction by fusion of UAV LiDAR point cloud, orthophoto and leaf area density
2026
- A frequency-aware multi-task learning framework for collaborative dehazing and semantic segmentation of oblique UAV images
2026
Most cited papers
- Multi-source remote sensing data fusion: status and trends
2010 · 762 citations
- Multi-sensor image fusion for pansharpening in remote sensing
2010 · 289 citations
- Use of mobile LiDAR in road information inventory: a review
2016 · 194 citations
- Tracking dynamic land-use change using spatially explicit Markov Chain based on cellular automata: the case of Tehran
2011 · 168 citations
- 3D building modeling using images and LiDAR: a review
2013 · 163 citations