Small sample classification of hyperspectral remote sensing images based on sequential joint deeping learning model

HIGHLIGHTS

• who: Remote Sensing Images Based and collaborators from the Big Data Institute, Qingdao Huanghai University, Qingdao, China have published the research work: Small Sample Classification of Hyperspectral Remote Sensing Images Based on Sequential Joint Deeping Learning Model, in the Journal: (JOURNAL)
• what: To solve the above problems, the authors propose a sequential joint deep learning algorithm (The Deep features of Multi-scale convolution under Attention Mechanism are integrated by Bi-LSTM, AML). The authors propose an integrated attention mechanism to distribute the probability weight of the key feature, thereby enhancing the selection of features in . . .
  

   

  

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