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A Multiscale Cross Interaction Attention Network for Hyperspectral Image Classification
D. Liu; Y. Wang; P. Liu; Q. Li; H. Yang; D. Chen; Z. Liu and G. Han
2023
发表期刊Remote Sensing
ISSN20724292
卷号15期号:2
摘要Convolutional neural networks (CNNs) have demonstrated impressive performance and have been broadly applied in hyperspectral image (HSI) classification. However, two challenging problems still exist: the first challenge is that redundant information is averse to feature learning, which damages the classification performance; the second challenge is that most of the existing classification methods only focus on single-scale feature extraction, resulting in underutilization of information. To resolve the two preceding issues, this article proposes a multiscale cross interaction attention network (MCIANet) for HSI classification. First, an interaction attention module (IAM) is designed to highlight the distinguishability of HSI and dispel redundant information. Then, a multiscale cross feature extraction module (MCFEM) is constructed to detect spectral–spatial features at different scales, convolutional layers, and branches, which can increase the diversity of spectral–spatial features. Finally, we introduce global average pooling to compress multiscale spectral–spatial features and utilize two fully connection layers, two dropout layers to obtain the output classification results. Massive experiments on three benchmark datasets demonstrate the superiority of our presented method compared with the state-of-the-art methods. © 2023 by the authors.
DOI10.3390/rs15020428
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收录类别sci ; ei
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/67686
专题中国科学院长春光学精密机械与物理研究所
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GB/T 7714
D. Liu,Y. Wang,P. Liu,et al. A Multiscale Cross Interaction Attention Network for Hyperspectral Image Classification[J]. Remote Sensing,2023,15(2).
APA D. Liu.,Y. Wang.,P. Liu.,Q. Li.,H. Yang.,...&Z. Liu and G. Han.(2023).A Multiscale Cross Interaction Attention Network for Hyperspectral Image Classification.Remote Sensing,15(2).
MLA D. Liu,et al."A Multiscale Cross Interaction Attention Network for Hyperspectral Image Classification".Remote Sensing 15.2(2023).
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