Multiscale spatial-spectral convolutional network with image-based framework for hyperspectral imagery classification

HIGHLIGHTS

• who: Ximin Cui et al. from the College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing) have published the Article: Multiscale Spatial-Spectral Convolutional Network with Image-Based Framework for Hyperspectral Imagery Classification, in the Journal: (JOURNAL)
• what: To overcome this problem the authors propose an image-based framework that is efficient and straightforward. Framework the authors propose a multiscale spatial-spectral CNN for HSIs (HyMSCN) to integrate both multiple receptive fields fused features and multiscale spatial features at different levels. The aim of both methods is to ensure that the . . .
  

   

  

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