Multi-sensor multi-resolution image fusion for improved vegetation and urban area classification

7 citations as recorded by crossref.

1. Pansharpening Using IHS Method on Multi-sensor Data and Multiple Feature Extraction Using Modified Otsu Thresholding V. Mishra et al. https://doi.org/10.1007/s12524-023-01806-w
2. A structural similarity-inspired performance assessment model for multisensor image registration algorithms J. Jiao et al. https://doi.org/10.1177/1729881417717059
3. Unsupervised Change Detection Using Multiscale and Multiresolution Gaussian-Mixture-Model Guided by Saliency Enhancement D. Xue et al. https://doi.org/10.1109/JSTARS.2020.3046838
4. Multi-Scale and Multi-Stream Fusion Network for Pansharpening L. Jian et al. https://doi.org/10.3390/rs15061666
5. A theoretical and practical survey of image fusion methods for multispectral pansharpening C. Yilmaz et al. https://doi.org/10.1016/j.inffus.2021.10.001
6. Effect of fusing Sentinel-2 and WorldView-4 imagery on the various vegetation indices M. Gašparović et al. https://doi.org/10.1117/1.JRS.13.036503
7. Bi-domain fusion pyramid network for pansharpening with deep anisotropic diffusion Q. Liu et al. https://doi.org/10.1016/j.inffus.2025.103212