Power Transmission Tower CFAR Detection Algorithm Based on Integrated Superpixel Window and Adaptive Statistical Model
Xin Zhou, Xiuguo Liu, Qihao Chen, Zhengjia Zhang · 2019
In order to detect power transmission tower efficiently in synthetic aperture radar (SAR) images, a new constant false alarm rate (CFAR) detection algorithm based on integrated superpixel window and adaptive statistical model has been proposed. Firstly, the SEEDS algorithm is used to extract superpixels from the SAR image, and the segmented objects are merged into CFAR detection windows. Subsequently, the power transmission towers are detected by the CFAR algorithm with the adaptive statistical model in each window. The experiment results using UAVSAR images prove that the proposed algorithm can achieve good detection performance and suppress false alarms at the same time.