Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing(2021)
摘要
Deep learning (DL) has exhibited huge potentials for hyperspectral image (HSI) classification due to its powerful nonlinear modeling and end-to-end optimization characteristics. Although the superior performance of DL-based methods has been witnessed, some limitations can still be found. On the one hand, existing DL frameworks usually resorted to first-order statistical features, whereas they rare...
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关键词
Feature extraction,Correlation,Optimization,Hyperspectral imaging,Structural engineering,Computer architecture,Training
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