Detection of carbonate formations in khaeez Anticlinebehbahan with PCA techniques and crosta method using ETM+ satellite images
Subject Areas :
Hadi
Tahmasebi Nejad
1
(عضو هیأت علمی دانشگاه آزاد اسلامی واحد بهبهان)
Mahdi
Momi pour
2
(عضو باشگاه پژوهشگران جوان دانشگاه آزاد اسلامی واحد بهبهان)
Keywords: Behbahan, ETM+ Satellite image, Crosta method, Principle component analysis, ,
Abstract :
Detection of carbonate formations, especially in area located next to clay formations is essential. Becausethe data set to estimate mining stocks and determinate of exploration programs are necessary. In thisstudy, for detection of carbonate formations and their separation from clay formations, Imageclassification and principle component analysis (PCA) and Crosta techniques the help of ETM+ satelliteimages of Landsat 7 is used. For this purpose, several psedo-color composition of the Khaeez anticline ofBehbahan city located in geological zone of Zagross, has been created in ENVI software. Forclassification of satellite images of case study, maximum similarity method was used. Then, selecting aseries of known sample pixels and comparing their class with classification results and calculating Kappacoefficients, classification results were evaluated. These results indicate classification accuracy ofCarbonate formations is medium that may be a result of vegetation cover on these formations.
