Abstract

Segmentation is a critical step, preliminary to High-level processing such as classification, detection and object extraction from radar images. It provides an easier way to extract information in automatic target recognition (ATR) fields. However, extracting the shape of the target from this kind of images is very difficult task, so this paper presents a new approach for Radar image segmentation and how to be able to extract target shape from 3D Inverse Synthetic Aperture Radar (ISAR) Images by combining mathematical morphology watershed and thresholding methods with top-hat transformation.

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 call

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.