Urban Feature Extraction within a Complex Urban Area with an Improved 3D-CNN Using Airborne Hyperspectral Data
Description:
Article describes how airborne hyperspectral data has high spectral-spatial information, but mining and using this information effectively is still a great challenge. Therefore, a 3D-1D-CNN model was proposed for feature extraction in complex urban with hyperspectral images affected by cloud shadows.
Date:
February 10, 2023
Creator:
Ma, Xiaotong; Man, Qixia; Yang, Xinming; Dong, Pinliang; Yang, Zelong; Wu, Jingru et al.
Item Type:
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Partner:
UNT College of Science