Exploration of Remote Sensing Image Processing Method for Glacial Geomorphology Research

Abstract:

Taking Mt. Namjagbarwa region as an example, this paper explores a complete remote sensing image processing method for glacial geomorphology research. Based on the selection of Landsat7 ETM+ images, the remote sensing image processing method such as band selection, overlap, fusion, mosaic and so on is carried out. The result shows: ① right selection of remote sensing images and proper process based on the characteristics of research area and research purpose, not only reduce the process difficulty, but make a firm foundation for subsequent glacial geomorphology research; ②according to the computation of correlation coefficient between fusion images and original multi-spectral images, panchromatic high resolution images, the result shows that the principle component transformation method has better effect than IHS transformation method in remote sensing image fusion process.

• Periodical: Key Engineering Materials (Volume 500)
• Pages: 437-443
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.500.437
• Online since: January 2012
• Authors: Shang Min Zhao, Wei Ming Cheng, Xi Chen
• Keywords: Correlation Coefficient, Glaical Geomorphology, IHS Transformation, Image Process, Principle Component Transformation

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