Abstract
Recently, Synthetic Aperture Radar plays a significant role in military reconnaissance and battle damage assessment. However, comparing with optic image, SAR image interpretation is complex because of their imaging characteristics. Furthermore, it is more difficult to distinguish camouflage targets in SAR image. In this paper, we proposed a new method to recognize real targets and camouflage targets. On the basis of SAR images, we studied the difference between real targets and passive camouflage targets at first. Then, we extract gray feature and texture feature of all the targets in an image. Finally, targets were divided into two clusters by using K-means algorithm. The simulation result demonstrates feasibility of passive ground camouflage target recognition.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
