Mr. Guo Chao Profile

Guo Chao

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Proceedings Article | 18 November 2014 Paper

Road spectral and morphological characteristics based rectification of the fluctuation effect of mobile spectral line camera imaging

Guo Chao, Yan Lei

Proceedings Volume 9263, 92631U (2014) https://doi.org/10.1117/12.2068636

KEYWORDS: Image fusion, Environmental monitoring, Roads, Cameras, LIDAR, Sensors, Remote sensing, Control systems, Feature extraction, Data fusion

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The mobile spectral line camera imaging currently develops quickly as a kind of new terrestrial hyper-spectral remote sensing technique with high potential of acquiring spatial information. However, vehicle moving with fluctuation tends to cause the recorded line images with spatial inconsistency. This study is to find a method to rectify the fluctuation effect common in mobile spectral line camera imaging. The used methods are as follows. First, road spectral characteristics were analyzed and the spectral features were extracted. Second, the morphological features of roads were derived, and the line images were rectified. The third step was to assess the result by comparing the rectified image to the reference acquired by artificial interpretation. The result proved to be basically positive. The rectified image can be applied for registration and fusion with point cloud of laser radar and CCD image for further application. The fusion data is of great significance for the extraction of road environment information and environment monitoring.

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