Spectralmae: spectral masked autoencoder for hyperspectral remote sensing image reconstruction

HIGHLIGHTS

• who: Lingxuan Zhu and colleagues from the National Key Laboratory of Scattering and Radiation, Shanghai, China have published the article: SpectralMAE: Spectral Masked Autoencoder for Hyperspectral Remote Sensing Image Reconstruction, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: To further enhance the performance for specific sensor inputs the authors propose a training strategy by combining random masking pre-training and fixed masking fine-tuning. With the goal of improving the adaptability of SR models to the inputs of different spectral sensors and enhancing the utilization of remote sensing data, the . . .
  

   

  

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