Abstract
ABSTRACTThis letter presents a synthetic aperture radar (SAR) change detection method based on the consistency of single-pixel difference and neighbourhood difference. The single-pixel difference is reflected by the log-ratio (LR), and the logarithmic likelihood ratio (LLR) is used to calculate the neighbourhood difference. Then, the two operators mentioned are combined to construct a new detector. The new detector can enhance the degree of difference between the changed class and unchanged class while having better anti-noise ability. According to the histogram of the difference image (DI), the ratio curve of the histogram presents a pattern that the curve changes from stabilization to random oscillation. Then, the transitional point is selected as the threshold. The experimental results from different data sets demonstrate the effectiveness of the proposed method.
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.
