Improved Ssd-Based Transmission Tower Detection In Sar Images

SAR transmission tower detection is essential to transmission system monitoring and maintenance. Various methods have been proposed to detect transmission tower by using shallow feature. With the development of the deep learning based on convolutional neural network, this study proposed an improved SSD-based transmission tower detection method by introducing deep learning-based technique. First, SSD, a state-of-the-art object detection method, is analysed in detail. Then, the algorithm is modified to fit authors' specific domain. According to the experiment results in real SAR images, it is showed that the modified method gains better detection performance. Finally, ablation experiments are also performed to confirm each modification step produces better result.