本研究使用影像相似法探討台灣山區地貌改變之原因，利用影像相似法不須精確校正，辨識快速的優點，對全台山區遙測影像的辨識，在因子研究方面採用不安定指數法做計算，了解地貌改變的主要因子。
比較複小波結構性相似(CW-SSIM)、快速傅立葉(FFT)、矩陣相似性(Corr2)三種影像相似法，以複小波結構性相似成果最佳，經後續影像處理增加精度後，以CW-SSIM篩選山區地貌有變異點位，套疊（1）高程（2）坡度（3）坡向（4）與河流距離（5）與道路距離（6）與斷層距離（7）岩石強度（8）土地利用（9）年平均雨量（10）最大日雨量十項因子，統計全區的不安定指數值，所得因子權重為最大日雨量>土地利用>岩石強度>高度>與道路距離>與河流距離>坡向>坡度，再由已知變異點位加以驗證，且地貌變化的因子權重排序與山崩研究相似，代表台灣山區短時間間距的地貌變化，仍是以山崩類似的機制為主控因素。

The main purpose of this study is to detect the major reason of geomorphology
changes of mountain regions in Taiwan. Image similarity algorithm is a good way to analyze remote sensing image for it’s quicken processing speed. After the image change detection, instability index method is utilized to analyze the factors and weighting of geomorphological changes.

Compare three image similarity algorithm: CW-SSIM (Complex-Wavelet
Structural Similarity Index), FFT (Fast Fourier Transform) and Corr2 (2-D correlation coefficient), the most efficient way to detect geomorphology changes is CW-SSIM.Use CW-SSIM to find out variability position, thus select ten landslide susceptibility factors: (1) Elevation (2) Slope (3) Aspect (4) Distance to river (5) Distance to road (6)Distance to fault (7) Lithology (8) Land using (9) Average annual rainfall (10)Maximum daily rainfall. Result from the instability index method shows that the most influenced factors for geomorphology change of mountain regions in Taiwan is the maximum daily rainfall, then land using and the lithology. The result of this change index is similar to the landslide susceptibility analyses; therefore, we can state that the main factors of controlling landslide are also affect to the geomorphology changes in Mountains region of Taiwan.

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