A Robust Insulator Detection Algorithm Based on Local Features and Spatial Orders for Aerial Images

作者：Liao, Shenglong; An, Jubai^*

来源：IEEE Geoscience and Remote Sensing Letters, 2015, 12(5): 963-967.

DOI：10.1109/LGRS.2014.2369525

• Aerial image
• insulator detection
• local feature
• point matching
• spatial orders

The detection of targets with complex backgrounds in aerial images is a challenging task. In this letter, we propose a robust insulator detection algorithm based on local features and spatial orders for aerial images. First, we detect local features and introduce a multiscale and multifeature descriptor to represent the local features. Then, we get several spatial orders features by training these local features, it improves the robustness of the algorithm. Finally, through a coarse-to-fine matching strategy, we eliminate background noise and determine the region of insulators. We test our method on a diverse aerial image set. The experimental results demonstrate the precision and robustness of our detection method, and indicate the possible use of our method in practical applications.

• 出版日期2015-5
• 单位大连海事大学