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

20 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.
2. Multi-stage guided-filter for SAR and optical satellites images fusion using Curvelet and Gram Schmidt transforms for maritime surveillance T. Ghoniemy et al.
3. A General Framework for Change Detection Using Multimodal Remote Sensing Data S. Chirakkal et al.
4. A Review of Optical and SAR Image Deep Feature Fusion in Semantic Segmentation C. Liu et al.
5. DFGIC-Net: diffusion feature-guided information complementary network for infrared and visible light fusion Y. Cui et al.
6. Spatio-temporal fusion methods for spectral remote sensing: a comprehensive technical review and comparative analysis R. Swain et al.
7. Multi-Resolution Collaborative Fusion of SAR, Multispectral and Hyperspectral Images for Coastal Wetlands Mapping Y. Yuan et al.
8. Influence of Image Compositing and Multisource Data Fusion on Multitemporal Land Cover Mapping of Two Philippine Watersheds N. Almarines et al.
9. Seasonal monitoring of biochemical variables in natural rangelands using Sentinel-1 and Sentinel-2 data M. Rapiya et al.
10. Multispectral data mining: A focus on remote sensing satellite images S. Lim et al.
11. Enhancing Tree Species Mapping in Arkansas’ Forests Through Machine Learning and Satellite Data Fusion: A Google Earth Engine–Based Approach A. Saim & M. Aly
12. A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects F. Samadzadegan et al.
13. Fusion of Sentinel-1 and Sentinel-2 data in mapping the impervious surfaces at city scale B. Shrestha et al.
14. Flood detection and mapping through multi-resolution sensor fusion: integrating UAV optical imagery and satellite SAR data M. Fawakherji & L. Hashemi-Beni
15. 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.
16. АНАЛІЗ ІСНУЮЧИХ МЕТОДІВ ОБРОБКИ ЗОБРАЖЕНЬ З КОСМІЧНИХ СИСТЕМ РАДІОЛОКАЦІЙНОГО СПОСТЕРЕЖЕННЯ С. Токарев
17. Assessing the Synergistic Use of Sentinel-1, Sentinel-2, and LiDAR Data for Forest Type and Species Classification I. Aranguren et al.
18. An Overview of CubeSat Missions and Applications K. Bouzoukis et al.
19. A machine learning approach for accurate crop type mapping using combined SAR and optical time series data R. Tufail et al.
20. Classification of Nemoral Forests with Fusion of Multi-Temporal Sentinel-1 and 2 Data K. Bjerreskov et al.