| 光谱学与光谱分析 |
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| The Linear Hyperspectral Camera Rotating Scan Imaging Geometric Correction Based on the Precise Spectral Sampling |
| WANG Shu-min1, 2, ZHANG Ai-wu1*, HU Shao-xing3, WANG Jing-meng1, MENG Xian-gang1, DUAN Yi-hao1, SUN Wei-dong4 |
1. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China
2. Institute of Earthquake Science, China Earthquake Administration, Beijing 100036, China
3. College of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
4. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China |
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Abstract As the rotation speed of ground based hyperspectral imaging system is too fast in the image collection process, which exceeds the speed limitation, there is data missed in the rectified image, it shows as the black lines. At the same time, there is serious distortion in the collected raw images, which effects the feature information classification and identification. To solve these problems, in this paper, we introduce the each component of the ground based hyperspectral imaging system at first, and give the general process of data collection. The rotation speed is controlled in data collection process, according to the image cover area of each frame and the image collection speed of the ground based hyperspectral imaging system, And then the spatial orientation model is deduced in detail combining with the star scanning angle, stop scanning angle and the minimum distance between the sensor and the scanned object etc. The oriented image is divided into grids and resampled with new spectral. The general flow of distortion image corrected is presented in this paper. Since the image spatial resolution is different between the adjacent frames, and in order to keep the highest image resolution of corrected image, the minimum ground sampling distance is employed as the grid unit to divide the geo-referenced image. Taking the spectral distortion into account caused by direct sampling method when the new uniform grids and the old uneven grids are superimposed to take the pixel value, the precise spectral sampling method based on the position distribution is proposed. The distortion image collected in Lao Si Cheng ruin which is in the Zhang Jiajie town Hunan province is corrected through the algorithm proposed on above. The features keep the original geometric characteristics. It verifies the validity of the algorithm. And we extract the spectral of different features to compute the correlation coefficient. The results show that the improved spectral sampling method is better than the direct sampling method. It provides the reference for the similar product used on the ground.
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Received: 2014-02-01
Accepted: 2014-05-25
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Corresponding Authors:
ZHANG Ai-wu
E-mail: zhangaw163@163.com
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WANG Shu-min1, 2, ZHANG Ai-wu1*, HU Shao-xing3, SUN Wei-dong4 . The Hyperspectral Camera Side-Scan Geometric Imaging in Any Direction Considering the Spectral Mixing [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(07): 1983-1989. |
| [2] |
KE Gang-yang1, AN Ning1, TIAN Yang-chao1, MA Zhi-hong2, HUANG Wen-jiang2, WANG Qiu-ping1* . Geometric Distortion Correction for Hyperspectral Image Using a Rotating Scan Reflector[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(08): 2223-2227. |
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