Abstract
Nearest-neighbor diffusion pan sharpening, as a new image fusion method based on nearest-neighbor diffusion, has become a new hot spot of research. In this paper, the nearest-neighbor diffusion pan sharpening method is used for a WorldView-2 image fusion experiment and compared with the methods we usually use such as the wavelet transform fusion method, the PCA transform fusion method, and the Gram–Schmidt transform fusion method. The experimental results show that the spatial information is better than the other three methods in terms of spatial details and texture.
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Acknowledgments
This research is supported by the key research project fund of the Institution of Higher Education in Henan Province (18A420001), the Henan Polytechnic University Doctoral Fund (B2016-13), and The Open Program of the Collaborative Innovation Center of Geo-Information Technology for Smart Central Plains, Henan Province (2016A002).
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Wang, C., Shao, W., Lu, H., Zhang, H., Wang, S., Yue, H. (2020). Research into the Adaptability Evaluation of the Remote Sensing Image Fusion Method Based on Nearest-Neighbor Diffusion Pan Sharpening. In: Lu, H., Yujie, L. (eds) 2nd EAI International Conference on Robotic Sensor Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-17763-8_4
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DOI: https://doi.org/10.1007/978-3-030-17763-8_4
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