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| 1 | A novel dense descriptor based on structure tensor voting for multi-modal image matching显示文摘Automatic and robust matching of multi-modal images can be challenging owing to the nonlinear intensity differences caused by radiometric variations among these images.To address this problem,a novel dense feature descriptor and improved similarity measure are proposed for enhancing the matching performance.The proposed descriptor is built on a voting scheme of structure tensor that can effectively capture the geometric structural properties of images.It is not only illumination and contrast invariant but also robust against the degradation caused by significant noise.Further,the similarity measure is improved to adapt to the reversal of orientation caused by the intensity inversion between multi-modal images.The proposed dense feature descriptor and improved similarity measure enable the development of a robust and practical templatematching algorithm for multi-modal images.We verify the proposed algorithm with a broad range of multi-modal images including optical,infrared,Synthetic Aperture Radar(SAR),digital surface model,and map data.The experimental results confirm its superiority to the state-of-the-art methods. | Jiazhen LU Maoqing HU Jing DONG Songlai HAN Ang SU | 2020 | Chinese Journal of Aeronautics2020，33，9： | 3 |
| 2 | Error compensation of an optical gyro multi-axis rotation 显示文摘 | Yuan Baolun Liao Dan Han Songlai | 2012 | Measurement Science and Technology2012，23，2： | 1 |
| 3 | Error compensa- tion of an optical gyro INS by muhi-axis rotation显示文摘 | YUAN Baolun LIAO dan HAN songlai | 2012 | Meas Sei Technol2012，23，2： | 1 |
| 4 | Real-time mosaicking for infrared videos from an oblique sweeping camera显示文摘Image mosaicking is widely used in Geographic Information Systems(GISs)for largescale ground surface analysis.However,most existing mosaicking methods can only be used in offline processing due to the enormous amounts of computation.In this paper,we propose a novel and practical algorithm for real-time infrared video mosaicking.To achieve this,a novel fast template matching algorithm based on Sum of Cosine Differences(SCD)is proposed to coarsely match the sequential images.The high speed of the proposed template matching algorithm is obtained by computing correlation with Fast Fourier Transform(FFT).We also propose a novel fast Least Squares Matching(LSM)algorithm for inter-frame fine registration,which can significantly reduce the computation without degrading the matching accuracy.In addition,the proposed fast LSM can effectively adapt for noise degradation and geometric distortion.Based on the proposed fast template matching algorithm and fine registration algorithm,we develop a practical real-time mosaicking approach which can produce seamless mosaic image highly efficiently.Experiments on synthetic and real-world datasets demonstrate that the proposed algorithm is not just computationally efficient but also robust against various noise distortions. | Jiazhen LU Fangde SUN Jing DONG Songlai HAN Ang SU | 2021 | Chinese Journal of Aeronautics2021，34，1： | 1 |
| 5 | Integrated GPS/INS naviga-tion system with dual-rate Kalman filer显示文摘 | Han Songlai Wang Jinling | | 0，，03： | 1 |
| 6 | Error compensation of an optical gyro multi-axis rotation显示文摘 | YUAN Baolun LIAO Dan Han Songlai | 2012 | Measurement Science and Technology2012，23，2： | 1 |
| 7 | Integrated GPS/INS navigation system with dual-rate Kalman Filter显示文摘 | Songlai Han Jinling Wang | 2012 | GPS Solutions2012，，3： | 1 |
| 8 | Integrated GPS-INS Navigation System with Dual-rate Kalman Filter显示文摘 | HAN Songlai WANG Jinling | 2012 | GPS Solutions2012，16，3： | 1 |
| 9 | Error compensation of an optial gyro INS by multi-axis rotation显示文摘 | Yuan Ballun Liao Dan Han Songlai | | 0，，02： | 1 |
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