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| Selection and Application of Fusion Algorithms for Interpretation of Remote Sensing Images for Railway Geology |
| LIU Gui-wei，QIAO Ping |
| The Third Railway Survey and Design Institute Group Corporation，Tianjin 300142，China |
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Abstract Research purposes: The image fusion is an important method for processing the data in interpretation of remote sensing image. In order to improve the accuracy and quality of interpreting the remote sensing image，the study was done on selection of the image fusion algorithms with the qualitative and the quantitative evaluation methods.
Research conclusions :(1)The HPF transform and wavelet transform are good in spectral fidelity and texture clarity and they can be used as the preferred data fusion methods for interpretation of the remote sensing image for the engineering geology. ( 2 ) Based on the HPF transform result, the information about the fault and unfavorable geological conditions can be interpreted with the accuracy rate above 80 percent. The interpretation accuracy for the unfavorable geological conditions can be improved by using the preferred fusion algorithm.(3)Because of the differences in terms of the data source，time and region，the effect of the fusion algorithms should be evaluated and selected before the image interpretation. ( 4 ) This study result can be used for the evaluation and selection of the fusion algorithms.
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Received: 16 July 2012
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2013, Vol. 30 
