Abstract
The investigated area in this paper is located on the northern mountain in Guangzhou City. It is characterized by high relief and inaccessibility. Multispectral and pan Images of SPOT5 were used as the remote sensing data source, and high-pass filtering (HPF), Brovery transform (BT), intensity-hue-saturation (IHS), principal component analysis (PCA) and the modified IHS (MIHS) methods were adopted for image fusion. Here, a comparison has been made between the entire fused images and the original multispectral images. Subjective evaluation and objective evaluation (entropy, average gradient, correlation coefficient, distribution of gray) have been adopted to assess the quality of the fused images. Also regional geological survey has been taken to find the interpretation veracity. Results show that the MIHS is the best image fusion method for geological hazards interpretation, and the fused image can provide abundant textural and spectral information for easy interpretation of such geological hazards as collapse, landslip, and debris flow.
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