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A hyperspectral image classification method based on feature enhancement and a hybrid deformable convolution network
Remote Sensing Letters ( IF 2.3 ) Pub Date : 2024-02-09 , DOI: 10.1080/2150704x.2024.2311782 Yunji Zhao 1 , Zhihao Zhang 1 , Wenming Bao 1 , Xiaozhuo Xu 1 , Zhifang Gao 2
Remote Sensing Letters ( IF 2.3 ) Pub Date : 2024-02-09 , DOI: 10.1080/2150704x.2024.2311782 Yunji Zhao 1 , Zhihao Zhang 1 , Wenming Bao 1 , Xiaozhuo Xu 1 , Zhifang Gao 2
Affiliation
In recent years, some hyperspectral image (HSI) classification methods based on deep models have shown excellent performance. Most deep models receive three-dimensional (3D) block structures as inp...
中文翻译：
一种基于特征增强和混合变形卷积网络的高光谱图像分类方法
近年来，一些基于深度模型的高光谱图像（HSI）分类方法表现出了优异的性能。大多数深度模型都接收三维 (3D) 块结构作为输入...
更新日期：2024-02-13
中文翻译：
一种基于特征增强和混合变形卷积网络的高光谱图像分类方法
近年来，一些基于深度模型的高光谱图像（HSI）分类方法表现出了优异的性能。大多数深度模型都接收三维 (3D) 块结构作为输入...
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