Hyperspectral image classification based on spatial pyramid attention mechanism combined with ResNet
Image Processing|更新时间:2024-06-27
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Hyperspectral image classification based on spatial pyramid attention mechanism combined with ResNet
“In the field of hyperspectral image classification, researchers have proposed a residual network model based on an improved spatial pyramid attention mechanism, which effectively improves classification accuracy and convergence speed.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 6, Pages: 833-843(2024)
LIU He, SONG Yingluo, HU Longxiang, et al. Hyperspectral image classification based on spatial pyramid attention mechanism combined with ResNet[J]. Chinese journal of liquid crystals and displays, 2024, 39(6): 833-843.
DOI:
LIU He, SONG Yingluo, HU Longxiang, et al. Hyperspectral image classification based on spatial pyramid attention mechanism combined with ResNet[J]. Chinese journal of liquid crystals and displays, 2024, 39(6): 833-843. DOI: 10.37188/CJLCD.2023-0175.
Hyperspectral image classification based on spatial pyramid attention mechanism combined with ResNet