177 / 2023-08-31 17:29:40
A novel real-time registration approach of remote sensing image with multi-source feature factors a case study in eastern China
Multi-source feature factor;Remote sensing image registration;Feature extraction;Feature matching.
全文待审
东伟 杨 / 南昌工程学院
松 郭 / 南昌工程学院
Due to the large geometric and radiation distortion in the public area of remote sensing images obtained in different periods, there are some problems such as single object and uneven feature distribution in the public area. Therefore, an MSAC algorithm based on multi-source feature factor fusion and strong resistance is proposed for real-time registration of remote sensing images. The experimental results show that the multi-source feature factor fusion can effectively improve the accuracy of RMSE registration, and the MSAC algorithm can reduce the mismatching rate of registration. This method can deal with complex remote sensing image data such as multi-scene, low overlap rate and large rotation Angle, and effectively ensure the quality of real-time registration and stitching.

 
重要日期
  • 会议日期

    10月26日

    2023

    10月29日

    2023

  • 10月15日 2023

    摘要截稿日期

  • 10月15日 2023

    初稿截稿日期

  • 11月13日 2023

    注册截止日期

主办单位
国际矿山测量协会
中国煤炭学会
中国测绘学会
承办单位
中国矿业大学
中国煤炭科工集团有限公司
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