Transmission Tower Extraction in High Resolution SAR Image Based on NSCT
Authors: 
Liu Yan, Liu Kai, Nie MengAuthors Info & Claims
Liu Yan, Liu Kai, Nie MengAuthors Info & ClaimsPages 52 - 57
Abstract
Power transmission towers are the main infrastructure of power grid. It is important to monitor the safety state of transmission towers. Using synthetic aperture radar (SAR) image to monitor the transmission line is not limited by cloud, rain and snow and sunlight conditions. So it has been widely studied to detect transmission tower in a SAR image. However, most of the works consider the transmission tower as point target and few studies have focused on the extraction of fine structure of the tower. This paper proposes a SAR image target extraction algorithm based on NSCT domain feature extraction and fuzzy clustering. First, the characteristics of transmission tower in SAR image in NSCT domain is analyzed. Then, the proposed method extracts the statistical characteristics of each scale and each direction in NSCT domain as features. Fuzzy C means algorithm is applied to unsupervised features clustering and the final target extraction result is obtained. Finally, the validity of the proposed method is illuminated by the experiment using the TerraSAR-X images. Experiments show that the contour of the tower structure can be clearly identified in the extraction results.
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Index Terms
- Transmission Tower Extraction in High Resolution SAR Image Based on NSCT
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Published In
May 2018
249 pages
ISBN:9781450364966
DOI:10.1145/3232116
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- Guilin: Guilin University of Technology, Guilin, China
- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
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Association for Computing Machinery
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Published: 19 May 2018
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ICIIP '18
ICIIP '18: 2018 3rd International Conference on Intelligent Information Processing
May 19 - 20, 2018
Guilin, China
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