A novel CNN is proposed for pansharpening to obtain high resolution multispectral data from panchromatic and multispectral images. It
utilises the complementary resolutions and bands of both
panchromatic and multispectral images to learn and predict
results. Since the satellite images have high spatial resolution,
they are broken down into smaller chunks and built back once
the desired features are extracted and fused. The pansharpened
images can then be used to carry out the segmentation tasks
Find the paper: https://ieeexplore.ieee.org/document/9544725
Fig: Proposed PansharpNet for pansharpening of multispectral images.
Detailed results can be found in the RVCE_ISRO_Paper
J. Nishchal, S. Reddy, N. Navya Priya, V. R. Jenni, R. Hebbar and B. S. Babu, "Pansharpening and Semantic Segmentation of Satellite Imagery," 2021 Asian Conference on Innovation in Technology (ASIANCON), 2021, pp. 1-9, doi: 10.1109/ASIANCON51346.2021.9544725.