Lithological Classification by Hyperspectral Remote Sensing Images Based on Double-Branch Multiscale Dual-Attention Network

Although many scholars have realized that deep learning methods have great advantages in hyperspectral lithology classification now, most of them use simple convolutional neural networks for discussion, which are difficult to effectively extract spectral sequence information from hyperspectral image...

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الحاوية / القاعدة:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
المؤلفون الرئيسيون:	Hanhu Liu, Heng Zhang, Ronghao Yang
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	IEEE 2024-01-01
الموضوعات:	Deep learning dual-attention mechanism hyperspectral image (HSI) lithology classification multiscale features
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/10646515/