Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 424-428.doi: 10.11896/jsjkx.210300132

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

Classification Research of Remote Sensing Image Based on Super Resolution Reconstruction

XIE Hai-ping1, LI Gao-yuan1, YANG Hai-tao2, ZHAO Hong-li2   

  1. 1 Graduate School,Space Engineering University,Beijing 101416,China
    2 Institute of Space Information,Space Engineering University,Beijing 101416,China
  • Online:2021-11-10 Published:2021-11-12
  • About author:XIE Hai-ping,born in 1996,postgra-duate.His main research interests include deep learning and image processing.
    YANG Hai-tao,born in 1978,Ph.D,associate professor.His main research interests include image processing and decision making.

Abstract: Usually,super-resolution technology makes the image get better visual quality,which is conducive to the visual interpretation of the image.However,will super-resolution technology improve the effect of image in the application of classification,recognition and other more advanced computer vision tasks? Combined with the development of computer vision technology,a new image classification model is trained to classify the images processed by different super-resolution methods.By measuring the classification accuracy of different types of images,the promotion effect of different super-resolution methods on image classification task is measured.Experimental results on remote sensing classification data set show that the well-designed super-resolution model has obvious effect on enhancing low-quality images.Compared with the interpolation method,the image processed by super-resolution achieves higher classification accuracy in the classification model,which proves that the well-designed super-resolution model can promote the image classification task.It is confirmed that super-resolution can effectively improve the perception effect of image in computer vision.

Key words: Computer vision, Deep learning, Image classification, Image processing, Super resolution reconstruction

CLC Number: 

  • TP751
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