Turn off MathJax
Article Contents
Video super-resolution method for spacecraft approaching asteroids[J]. Chinese Journal of Space Science. doi: 10.11728/cjss2025-0002
Citation: Video super-resolution method for spacecraft approaching asteroids[J]. Chinese Journal of Space Science. doi: 10.11728/cjss2025-0002

Video super-resolution method for spacecraft approaching asteroids

doi: 10.11728/cjss2025-0002
  • Received Date: 2025-01-06
  • Accepted Date: 2025-03-17
  • Rev Recd Date: 2025-03-09
  • Available Online: 2025-05-26
  • In the imaging process of approach detection, dynamic image sequences often have problems such as image blur and insufficient resolution due to platform movement and jitter. This paper studies the super-resolution of image sequences in the process of approach detection and proposes a video super-resolution method based on BasicVSR++. By introducing spatial and channel attention mechanisms to enhance the model's ability to extract detail features, combined with shared projection weights, multi-group mechanisms and sampling point modulation, the effect of the alignment module is improved. While improving the network feature extraction capability, it makes up for the shortcomings of regular convolution in long-distance dependency and adaptive spatial aggregation. At the same time, downsampling is combined with a low-pass filter to reduce the high-frequency components of the image, which improves the robustness of the model to slight image jitter. In addition, a new upsampling module is introduced to combine local and global features, generate an adaptive upsampling kernel to expand the receptive field, and better restore the global structure and reconstruct details. The simulation experimental results show that the proposed method improves the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) indicators by 2.2% and 2.1% respectively compared with the original method.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article Views(42) PDF Downloads(2) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return