A more efficient approach for remote sensing image classification

HIGHLIGHTS

• who: CMC et al. from the School of Geography and Tourism, Hunan University of Arts and, Changde, China have published the research work: A More Efficient Approach for Remote Sensing Image Classification, in the Journal: (JOURNAL)
• what: To address this problem the authors propose a fast and simple training CNN framework (named FST-EfficientNet) for RSI-SSC based on an EfficientNetversion2 small (EfficientNetV2-S) CNN model. And most crucially, it will be very likely to achieve a new SOTA performance for RSI-SSC while the priorities of simplicity and automation are retained if the latest . . .
  

   

  

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