中央山脈地勢高聳，交通不便，若要進行傳統地質調查較為困難，故岩性分佈的資料貧乏，而且台灣氣候溫暖潮濕，使得中央山脈植被覆蓋濃密，故從衛星影像中所能提取到的資訊有限。本研究目的在在於利用福衛二號全色態影像分析紋理資訊，找出該區域的紋理與岩性之間的關係。
本研究的方法是利用衛星影像，分析影像中的紋理資訊。紋理分析的方法是採用Haralick等人於1973年所提出的Gray Level Co-Occurrence Matrix (GLCM)，透過此方法以達到描述影像灰階值的幾何分布情形之目的。利用前人的地質資料與分類後的紋理單元的空間分布特性比對結果發現，利用紋理判釋岩性的結果取決於 (1)萃取紋理的能力(2)一致且客觀的標準（3）不同尺度標準之分析結果;在各種分類法的結果中，可以得知在進行岩性紋理判識時，分類的法則並不能有效選取出不同岩性的特徵紋理，表示岩性與紋理的關係並非一對一，而為多對多的形式;傳統分類法為最小之尺度，需在往上建構出更大的紋理，而此方式為利用地形兩側坡面之紋理來解釋岩體，藉由紋理之間的比對、組合及延伸，解釋可能的岩性分布。
本研究工作方法可合理初步判釋地質資訊不明區域之地質分布趨勢之界線，影像整體初判結果可提供野外工作者進行調查時尋找可能岩性界線分佈，而無法單由影像分析方法確定地層岩性分佈界線，應與野外調查工作同步進行，藉由野外資料增加判釋界線之合理性。

Due to great topographic relief and inconvenient in transportation, field mapping is very difficult in the Center Mountain Range, Taiwan. There are only a few 1:50000 geological maps in Central mountain Range available at present. In addition, intensive vegetation in the mountainous area also prohibits us to get enough geological information from optical spectrum data of satellite images. Therefore, this study tries to use the texture characters of FORMOSAT-2 image to identify the lithology of Central Mountain Range in Hopin area.
The Gray Level Co-Occurrence Matrix (GLCM) proposed by Haralick etc. in 1973 is used in this study to extract the texture information of the image. Comparing the geological information with the texture unit classified from the image, the lithology recognition ability depends on our ability to extracting texture information, and the scale of extracting texture.
The study results show the texture characters can be used to help identify the lithology in mountainous area. However, without ground truth information, it is difficult to determine the boundary of lithological units by using texture information only.

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