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In order to improve the spatial resolution of hyperspectral(HS) image and minimize the spectral distortion, an HS and multispectral(MS) image fusion approach based on convolutional neural network(CNN) is proposed. The proposed approach incorporates the linear spectral mixture model and spatial-spectral spread transform model into the learning phase of network, aiming to fully exploit the spatial-spectral information of HS and MS images, and improve the spectral fidelity of fusion images. Experim... 相似文献
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