Fast detecting and locating groups of targets in high-resolution SAR images

An Adaptive and Fast CFAR Algorithm Based on Multithreading for Ship Detection in SAR Image

“…Salazar [8] proposed a notable CFAR algorithm based on Beta-prime distribution (mentioned simply as Salazar algorithm in this paper); Bisceglie [9] put forward a CFARalgorithm to reduce a part of the pixels (mentioned simply as Bisceglie algorithm in this paper), which is well-suited for local area target detection; Lincoln Laboratory proposed the two-parameter CFAR algorithm [10], which is actually based on CA-CFAR with normal distribution model, which improved the computational efficiency significantly; Gui Gao [11] proposed an adaptive and fast CFAR detection algorithm based on AC, which is an improvement of the Salazar algorithm; Wentao An [12] proposed an improved iterative censoring scheme (ICS) for CFAR detectors with two modifications to eliminate the influence of target returns on the estimation of local sea clutter distributions and so on. Through these literatures, we can draw the conclusion that the target detection algorithm based on CFAR is the most extensive and practical.…”

Research of semantic understanding on target region of interest for fuzzy image

“…This approach used noise to cause false alarm on a track which had strong randomness, so that it implemented the target recognition based on multi-direction histogram statistics. The automatic target identification method based the classification knowledge was via the target generally located the position, likely lied in the environment, and other prior knowledge to remove the mixed false alarm (Gao et al, 2007). More research on fuzzy signal processing were achieved (Kılıç and Leblebicioğlu, 2012;Lin et al, 2011;Bailador and Triviño, 2010).…”

Environmental monitoring of natural disasters using synthetic aperture radar image multi-directional characteristics

“…Synthetic aperture radar (SAR), a type of an active microwave remote-sensing imaging radar, can obtain remote-sensing data on a target region under any weather conditions. SAR has been employed in agricultural, geological, environmental, mapping, military fields, and a variety of other applications (Bovolo 2009;Bovolo and Bruzzone 2005;Gao et al 2007;Han et al 2010;Malpica et al 2013;Matgen et al 2011;White 1991). SAR has unique advantages in various types of rescue efforts as well as the monitoring and assessment of natural disasters (Huang, Liu, and Chen 2007;Gamba, Dell'Acqua, and Trianni 2007;Shan et al 2009;Zhang et al 2010;Zhang, Xie, and Tao 2002).…”