Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran

Detection of hydrothermal alteration zones (HAZs) associated with porphyry copper systems using remote sensing imagery is a crucial stage for discovering high potential zone of ore mineralization. Statistical model-based clustering methods have great potential for automatic and accurate detection of...

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Veröffentlicht in:	Geocarto international Jg. 37; H. 25; S. 9788 - 9816
Hauptverfasser:	Yousefi, Mastoureh, Tabatabaei, Seyed Hassan, Rikhtehgaran, Reyhaneh, Pour, Amin Beiranvand, Pradhan, Biswajeet
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Taylor & Francis 13.12.2022
Schlagworte:	algorithms Alteration zones case studies DPSB hyperion Iran mineralization porphyry copper systems remote sensing SAM Iran
ISSN:	1010-6049, 1752-0762, 1752-0762
Online-Zugang:	Volltext
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