Abstract
As a highly concerned hyperspectral image target detection field, it has important research value and application prospects both in military and civil. Starting with the working principle and system structure of spectral imager based on AOTF, the polarization information pretreatment, judgment of connected area and contour extraction are added to the classical algorithm of CEM target detection, which provides a more reliable judgment basis for target detection. Finally, the target detection experiments on spectral images of metal objects are carried out. The results show that the detection efficiency of the proposed algorithm is significantly improved, and it is more suitable for detecting targets whose spectral characteristics are not obvious.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.