Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection
| Autor: | Houjun Sun, Shiyong Li, Ran Tao, Xiaojing Huang, Guoqiang Zhao, Zhangfeng Li, Y. Jay Guo |
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| Rok vydání: | 2016 |
| Předmět: |
Pixel
Computer science business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 02 engineering and technology Geological & Geomatics Engineering Geotechnical Engineering and Engineering Geology Edge detection Image (mathematics) Computer Science::Computer Vision and Pattern Recognition 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence Enhanced Data Rates for GSM Evolution Electrical and Electronic Engineering business Rotation (mathematics) 021101 geological & geomatics engineering Feature detection (computer vision) |
| Zdroj: | IEEE Geoscience and Remote Sensing Letters. 13:1512-1516 |
| ISSN: | 1558-0571 1545-598X |
| Popis: | © 2016 IEEE. A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the rotating parts in temporal differential range-Doppler images using image edge detection. A Doppler-slow-time image is then generated from the edge pixels on the motion trail. Finally, the rotation parameters are extracted from the Doppler-slow-time image. The proposed method is simple, rapid, and practical. Computer simulations and experimental results demonstrate its effectiveness in terms of computation time compared with existing methods. |
| Databáze: | OpenAIRE |
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