A5006404400- Automated Road and Building Extraction
- Remote-Sensing Image Classification
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Advanced SAR Imaging Techniques
- Remote Sensing and Land Use
- Remote Sensing and LiDAR Applications
Civil Aviation University of China
2018-2020
A novel runway detection algorithm for PolSAR (Polarimetric Synthetic Aperture Radar) images based on optimized polarimetric features and local spatial information is proposed. Existing methods always utilize the parallel line as primary feature. However, many other ground objects such rivers roads also have structures thus affect performance of these methods. The proposed method two stages classification with HOG (Histogram Oriented Gradient) feature, while avoiding interference due to...
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In this paper, a novel method of airport runway area detection in Polarimetric Synthetic Aperture Radar (PolSAR) image is proposed based on multi-feature optimization. Firstly, training samples are manually selected and variety features extracted from the samples. Secondly, some which weakly relevant redundant removed by analyzing relevance redundancy among target features. Then, region interest (ROI) Random Forest (RF) classifier designed to divide contents into two parts. Finally,...