USING PIXEL BASIS AND SUBPIXEL BASED TECHNIQUES TO IDENTIFY ALTERATION ZONES(CASE STUDY: TANGE BOSTANAK REGION)

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NOHEGAR AHMAD; KAZEMI M.; AHMADI SEYED JAVAD; GHOLAMI H.; MAHDAVI R.

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Journal: QUANTITATIVE GEOMORPHOLOGICAL RESEARCHES Year:2016 | Volume:5 | Issue:1 Page(s): 89-109

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Title

USING PIXEL BASIS AND SUBPIXEL BASED TECHNIQUES TO IDENTIFY ALTERATION ZONES(CASE STUDY: TANGE BOSTANAK REGION)

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Keywords

ALTERATIONQ1

SPECTRALQ1

PIXEL-BASEDQ2

REMOTE SENSINGQ2

TANGE BOSTANAKQ2

Abstract

Introduction: advanced REMOTE SENSING has been used in the past few decades in geology, mineral and hydrocarbon exploration. In the initial stages of remote-sensing technology development in the 1970s, geological mapping and mineral exploration were the commonest applications. Both multispectral and hyperspectral datasets can be used for mapping the ALTERATION zones. ALTERATION zones are commonly associated with certain minerals, such as propylitic assemblage (chlorite, epidote, and calcite), argillic minerals (kaolinite, dickite, montmo- rillonite), phyllic ALTERATION minerals (sericite, illite), and advanced argillic minerals (alunite, pyrophyllite). Many studies reported the importance of REMOTE SENSING for mapping ALTERATION minerals with ASTER data through image processing techniques, such as band rationing, principal component analysis (PCA), linear SPECTRAL unmixing (LSU), matched filtering (MF), mixture tuned matched filtering (MTMF), and constrained energy minimization (CEM). Most of these studies determined hydrothermally altered minerals at regional scale through per pixel analysis with little attention to subpixel analyses. However, an image pixel is often a mixture of the energy reflected or emitted from different materials that cannot be detected by per pixel classification algorithms. Rare publications are available for mapping ALTERATION minerals using subpixel algorithms. Landsat 8 data can detect the altered rocks and ferrous minerals throw the OLI (Operational Land Imager) part of the image due to the absorption and reflectance characteristics of these rocks which appear in this range…

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APA: Copy

NOHEGAR, AHMAD, KAZEMI, M., AHMADI, SEYED JAVAD, GHOLAMI, H., & MAHDAVI, R.. (2016). USING PIXEL BASIS AND SUBPIXEL BASED TECHNIQUES TO IDENTIFY ALTERATION ZONES(CASE STUDY: TANGE BOSTANAK REGION). QUANTITATIVE GEOMORPHOLOGICAL RESEARCHES, 5(1 ), 89-109. SID. https://sid.ir/paper/249017/en

Vancouver: Copy

NOHEGAR AHMAD, KAZEMI M., AHMADI SEYED JAVAD, GHOLAMI H., MAHDAVI R.. USING PIXEL BASIS AND SUBPIXEL BASED TECHNIQUES TO IDENTIFY ALTERATION ZONES(CASE STUDY: TANGE BOSTANAK REGION). QUANTITATIVE GEOMORPHOLOGICAL RESEARCHES[Internet]. 2016;5(1 ):89-109. Available from: https://sid.ir/paper/249017/en

IEEE: Copy

AHMAD NOHEGAR, M. KAZEMI, SEYED JAVAD AHMADI, H. GHOLAMI, and R. MAHDAVI, “USING PIXEL BASIS AND SUBPIXEL BASED TECHNIQUES TO IDENTIFY ALTERATION ZONES(CASE STUDY: TANGE BOSTANAK REGION),” QUANTITATIVE GEOMORPHOLOGICAL RESEARCHES, vol. 5, no. 1 , pp. 89–109, 2016, [Online]. Available: https://sid.ir/paper/249017/en

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