Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a spectral-spatial classification method with Gaussian process was proposed for hyperspectral image classification. This method exploits the relationship among adjacent pixels and integrates it into spectral information to obtain spectral-spatial classification. In the proposed approach, the spatial information of a single pixel is ighted by the cosine similarity value beten the adjacent pixels in the neighborhood. Experiments re conducted on the AVIRIS Indian Pines data set to evaluate the performance of the proposed approach. And the results demonstrated the effectiveness of the proposed methods to improve the classification performance by consideration of the spatial relationship beten adjacent pixels in the hyperspectral image.
['Shujin Sun', 'Ping Zhong', 'Huaitie Xiao', 'Yuting Chen', 'Zhiqiang Gong', 'Runsheng Wang']
I am writing a research paper on a idea Spectral-spatial classification of hyperspectral images with Gaussian process
[{"from": "human", "value": "I am writing a research paper on a idea Spectral-spatial classification of hyperspectral images with Gaussian process"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a spectral-spatial classification method with Gaussian process was proposed for hyperspectral image classification. This method exploits the relationship among adjacent pixels and integrates it into spectral information to obtain spectral-spatial classification. In the proposed approach, the spatial information of a single pixel is ighted by the cosine similarity value beten the adjacent pixels in the neighborhood. Experiments re conducted on the AVIRIS Indian Pines data set to evaluate the performance of the proposed approach. And the results demonstrated the effectiveness of the proposed methods to improve the classification performance by consideration of the spatial relationship beten adjacent pixels in the hyperspectral image."}]