FUSING OF OPTICAL AND SYNTHETIC APERTURE RADAR (SAR) REMOTE SENSING DATA: A SYSTEMATIC LITERATURE REVIEW (SLR)

15 citations as recorded by crossref.

1. Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification J. Gawlikowski et al. 10.1186/s13634-023-01008-z
2. Fusion of Sentinel-1 and Sentinel-2 data in mapping the impervious surfaces at city scale B. Shrestha et al. 10.1007/s10661-021-09321-6
3. Multi-stage guided-filter for SAR and optical satellites images fusion using Curvelet and Gram Schmidt transforms for maritime surveillance T. Ghoniemy et al. 10.1080/19479832.2021.2003446
4. A General Framework for Change Detection Using Multimodal Remote Sensing Data S. Chirakkal et al. 10.1109/JSTARS.2021.3119358
5. Modeling and prediction of land use land cover change dynamics based on spatio-temporal analysis of optical and radar time series of remotely sensed images S. Farshidi et al. 10.1007/s12145-023-01072-x
6. A Review of Optical and SAR Image Deep Feature Fusion in Semantic Segmentation C. Liu et al. 10.1109/JSTARS.2024.3424831
7. A machine learning approach for accurate crop type mapping using combined SAR and optical time series data R. Tufail et al. 10.1016/j.asr.2021.09.019
8. Spatio-temporal fusion methods for spectral remote sensing: a comprehensive technical review and comparative analysis R. Swain et al. 10.1007/s42965-023-00318-5
9. Multi-Resolution Collaborative Fusion of SAR, Multispectral and Hyperspectral Images for Coastal Wetlands Mapping Y. Yuan et al. 10.3390/rs14143492
10. Influence of Image Compositing and Multisource Data Fusion on Multitemporal Land Cover Mapping of Two Philippine Watersheds N. Almarines et al. 10.3390/rs16122167
11. Seasonal monitoring of biochemical variables in natural rangelands using Sentinel-1 and Sentinel-2 data M. Rapiya et al. 10.1080/01431161.2024.2368929
12. Multispectral data mining: A focus on remote sensing satellite images S. Lim et al. 10.1002/widm.1522
13. Enhancing Tree Species Mapping in Arkansas’ Forests Through Machine Learning and Satellite Data Fusion: A Google Earth Engine–Based Approach A. Saim & M. Aly 10.1007/s41651-025-00220-9
14. Classification of Nemoral Forests with Fusion of Multi-Temporal Sentinel-1 and 2 Data K. Bjerreskov et al. 10.3390/rs13050950
15. A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects F. Samadzadegan et al. 10.1080/01431161.2024.2429784