Version 1
: Received: 15 December 2021 / Approved: 16 December 2021 / Online: 16 December 2021 (15:57:35 CET)
How to cite:
Wu, R. Two-Parameter CFAR Ship Detection Algorithm Based on Rayleigh Distribution in SAR Images. Preprints2021, 2021120280. https://doi.org/10.20944/preprints202112.0280.v1
Wu, R. Two-Parameter CFAR Ship Detection Algorithm Based on Rayleigh Distribution in SAR Images. Preprints 2021, 2021120280. https://doi.org/10.20944/preprints202112.0280.v1
Wu, R. Two-Parameter CFAR Ship Detection Algorithm Based on Rayleigh Distribution in SAR Images. Preprints2021, 2021120280. https://doi.org/10.20944/preprints202112.0280.v1
APA Style
Wu, R. (2021). Two-Parameter CFAR Ship Detection Algorithm Based on Rayleigh Distribution in SAR Images. Preprints. https://doi.org/10.20944/preprints202112.0280.v1
Chicago/Turabian Style
Wu, R. 2021 "Two-Parameter CFAR Ship Detection Algorithm Based on Rayleigh Distribution in SAR Images" Preprints. https://doi.org/10.20944/preprints202112.0280.v1
Abstract
Synthetic Aperture Radar (SAR) is an active type of microwave remote sensing. Using the microwave imaging system, remote sensing monitoring of the land and global ocean can be done in any weather conditions around the clock. Detection of SAR image targets is one of the main needs of radar image interpretation applications. In this paper, an improved two-parameter CFAR algorithm based on Rayleigh distribution and morphological processing is proposed to perform ship detection and recognition in high resolution SAR images. Through simulation experiments, comprehensive study of the two algorithms for high resolution SAR image target detection is achieved. Finally, the results of ship detection experiments are compared and analyzed, and the effects of detection are evaluated according to the Rayleigh distribution model and algorithms.
Keywords
SAR; Ship detecion; CFAR; Mathematical morphology
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
