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- W2986179919 abstract "In this paper, a new hyperspectral image (HSI) and panchromatic image (PANI) fusion approach via weighted tensor matrix is proposed. In the proposed method, homomorphic filtering is use for obtaining spatial component of HSI, and a weighted root mean squared error (RMSE)-based algorithm is proposed to extract the total intensity details of HSI. In addition, an optimized weighted tensor matrix-based method is proposed to acquire the integrated intensity details from both HSI and PANI. Comparative analyses show the proposed approach performs better than other excellent approaches in visual inspection and objective assessment." @default.
- W2986179919 created "2019-11-22" @default.
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- W2986179919 date "2019-07-01" @default.
- W2986179919 modified "2023-09-23" @default.
- W2986179919 title "Hyperspectral and Panchromatic Image Fusion Based on Weighted Tensor Matrix" @default.
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- W2986179919 doi "https://doi.org/10.1109/igarss.2019.8900283" @default.
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