Remote sensing image fusion via compressive sensing
- Submitting institution
-
Edge Hill University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22435092
- Type
- D - Journal article
- DOI
-
10.1016/j.isprsjprs.2019.04.001
- Title of journal
- ISPRS Journal of Photogrammetry and Remote Sensing
- Article number
- 152
- First page
- 34
- Volume
- 152
- Issue
- -
- ISSN
- 0924-2716
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Since published in June 2019, its 11 citations and 55 Pure downloads suggest the success of the proposed approach addressing the challenges in pansharpening the low solution multispectral data through creating a multiscale dictionary from the given high-resolution panchromatic data with easy implementation and computational efficiency. It has been selected for comparative studies in Yang, et al. “An efficient and high-quality pansharpening model ...”, Information Sciences 553(2021) and Yang, et al. “Pansharpening Based on Joint-Guided …”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14(2021), respectively.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -