A deep learning framework for hyperspectral image classification using spatial pyramid pooling

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Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review (2019, methodology): “In [175] a mixture between SAEs and CNN was used.”
A survey: Deep learning for hyperspectral image classification with few labeled samples (2021, methodology): “Classification accuracy obtained by S-DMM [121], 3DCAE [40], SSDL [37], TwoCnn [122], 3DVSCNN [123], SSLstm [75], CNN HSI [28] and SAE LR [34] on PaviaU.”
Deep Learning Advances in Computer Vision with 3D Data (2017, methodology): “In the work of Yue et al. [2016], Spatial Pyramid Pooling (SPP) was employed for HS image classi-ﬁcation.”