Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Hyperspectral image super resolution (SR) reconstruction has been studied widely and many algorithms have been proposed. , a novel super resolution reconstruction method was designed by employing a joint spectral-spatial sub-pixel mapping model which aims to obtain the probabilities of sub-pixels to belong to different land cover classes by dividing mixed pixels into several sub-pixels. Given these sub-pixel probabilities, the resolution enhanced image can be further generated. The proposed approach has been evaluated using both synthetic and real hyperspectral images and compared with other ll-known methods. The visual and quantitative comparisons confirm the effectiveness of the proposed method.
['Xiong Xu', 'Xiaohua Tong', 'Jie Li', 'Huan Xie', 'Yanfei Zhong', 'Liangpei Zhang', 'Dongmei Song']
I am writing a research paper on a idea Hyperspectral image super resolution reconstruction with a joint spectral-spatial sub-pixel mapping model
[{"from": "human", "value": "I am writing a research paper on a idea Hyperspectral image super resolution reconstruction with a joint spectral-spatial sub-pixel mapping model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Hyperspectral image super resolution (SR) reconstruction has been studied widely and many algorithms have been proposed. , a novel super resolution reconstruction method was designed by employing a joint spectral-spatial sub-pixel mapping model which aims to obtain the probabilities of sub-pixels to belong to different land cover classes by dividing mixed pixels into several sub-pixels. Given these sub-pixel probabilities, the resolution enhanced image can be further generated. The proposed approach has been evaluated using both synthetic and real hyperspectral images and compared with other ll-known methods. The visual and quantitative comparisons confirm the effectiveness of the proposed method."}]