Attention and Transform hyperspectral image classification method and system
The invention discloses an attention and Transform hyperspectral image classification method and system. The method comprises the following steps: acquiring a hyperspectral image data cube and a ground feature label; transposing the dimension of the data cube; carrying out pixel-by-pixel division on...
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Format | Patent |
Language | Chinese English |
Published |
09.05.2023
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Abstract | The invention discloses an attention and Transform hyperspectral image classification method and system. The method comprises the following steps: acquiring a hyperspectral image data cube and a ground feature label; transposing the dimension of the data cube; carrying out pixel-by-pixel division on the ground feature label matrix according to a set proportion; dividing the image data into blocks according to ground object label matrix division; fusing the images of the divided blocks by using an attention 3D convolution layer; and inputting the data cube experiencing the attention 3D convolution layer into an improved Transform coding layer, and outputting a category through a decoding layer to obtain an optimal model. According to the method, local and global spatial spectrum information of a hyperspectrum can be obtained without complex pretreatment such as dimension reduction, and feature extraction and fusion are carried out from a global direction by using an improved Transform, so that the whole networ |
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AbstractList | The invention discloses an attention and Transform hyperspectral image classification method and system. The method comprises the following steps: acquiring a hyperspectral image data cube and a ground feature label; transposing the dimension of the data cube; carrying out pixel-by-pixel division on the ground feature label matrix according to a set proportion; dividing the image data into blocks according to ground object label matrix division; fusing the images of the divided blocks by using an attention 3D convolution layer; and inputting the data cube experiencing the attention 3D convolution layer into an improved Transform coding layer, and outputting a category through a decoding layer to obtain an optimal model. According to the method, local and global spatial spectrum information of a hyperspectrum can be obtained without complex pretreatment such as dimension reduction, and feature extraction and fusion are carried out from a global direction by using an improved Transform, so that the whole networ |
Author | MENG YAYUN DENG HUIWEN GE LINGYU LIN KAILIANG ZHANG GUOFENG YANG SHUMING |
Author_xml | – fullname: YANG SHUMING – fullname: ZHANG GUOFENG – fullname: GE LINGYU – fullname: LIN KAILIANG – fullname: DENG HUIWEN – fullname: MENG YAYUN |
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DocumentTitleAlternate | 注意力与Transformer高光谱图像分类方法及系统 |
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Snippet | The invention discloses an attention and Transform hyperspectral image classification method and system. The method comprises the following steps: acquiring a... |
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Title | Attention and Transform hyperspectral image classification method and system |
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