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    • Hyperspectral classification algorithm based on covariance pooling and cross scale feature extraction

    • In the field of hyperspectral image classification, researchers have proposed a new method that combines covariance pooling and cross scale feature extraction, effectively improving classification accuracy.
    • Vol. 28, Issue 1, Pages: 203-218(2024)   

      Received:06 July 2022

      Published:07 January 2024

    • DOI: 10.11834/jrs.20242326     

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  • Wang L,Peng J T,Chen N and Sun W W. 2024. Hyperspectral classification algorithm based on covariance pooling and cross scale feature extraction. National Remote Sensing Bulletin, 28(1):203-218 DOI: 10.11834/jrs.20242326.
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WANG Zhisheng 南京航空航天大学 自动化学院
XU Yongchang 南京航空航天大学 自动化学院
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HUANG Yuan 湖南师范大学 地理科学学院;湖南师范大学 地理空间大数据挖掘与应用湖南省重点实验室
YANG Xing 河北工业大学 电子与信息工程学院

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