Detection of carbonate formations in khaeez Anticlinebehbahan with PCA techniques and crosta method using ETM+ satellite images

Detection of carbonate formations, especially in area located next to clay formations is essential. Because the data set to estimate mining stocks and determinate of exploration programs are necessary. In this study, for detection of carbonate formations and their separation from clay formations, Image classification and principle component analysis (PCA) and Crosta techniques the help of ETM+ satellite images of Landsat 7 is used. For this purpose, several psedo-color composition of the Khaeez anticline of Behbahan city located in geological zone of Zagross, has been created in ENVI software. For classification of satellite images of case study, maximum similarity method was used. Then, selecting a series of known sample pixels and comparing their class with classification results and calculating Kappa coefficients, classification results were evaluated. These results indicate classification accuracy of Carbonate formations is medium that may be a result of vegetation cover on these formations.