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| Design and Implementation of Remote Sensing Image Processing System for Railway Engineering Geological Survey |
| LIU Gui-wei1, QUAN De-wu2 |
| (1. China Railway Design Corporation, Tianjin 300142, China；2. Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China) |
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Abstract Abstract：Research purposes： There has not been a professional software of remote sensing image processing for railway engineering geological survey. In order to fulfill the requirements of railway remote sensing interpretation work, we built a software which can realize the optimal bands composite selection, band operation, image fusion and quantitative evaluation, image enhancement and thematic information extraction, etc. Research conclusions： （1）The optimum index method can realize the bands composite selection.（2）Based on the quantitative evaluation through spectral fidelity and texture clarity index, the preferred data fusion methods can be identified, which can improve the interpretation ability of the image.（3）The stripe noise removal method can eliminate the sensor calibration differences, that enhance the image clarity.（4）The water index method, which is better than the spectro-photometric method on the details reflect, is suit for extracting water information in flat areas, otherwise, the spectro-photometric method, which can distinguish the water and shade, is suit for extracting water information in steep mountainous areas. （5）The software provides the basic support for the remote sensing image processing of railway engineering geology survey, and can be widely applied to the remote sensing interpretation of engineering geology work.
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Received: 04 July 2017
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2017, Vol. 34 
