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.
Draft Pending
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.

 
Important Date
  • Conference Date

    Oct 26

    2023

    to

    Oct 29

    2023

  • Oct 15 2023

    Abstract Submission Deadline

  • Oct 15 2023

    Draft paper submission deadline

  • Nov 13 2023

    Registration deadline

Sponsored By
International Society for Mine Surveying
China Coal Society
China Surveying and Mapping Society
Organized By
中国矿业大学
中国煤炭科工集团有限公司