Integration of support vector machines for hydrothermal alteration mapping using ASTER data – case study: the northwestern part of the Kerman Cenozoic Magmatic Arc, Iran
This work applies support vector machine (SVM) algorithms in two versions of singular and general SVM classifiers to map hydrothermal alteration zones in the northwestern part of the Kerman Cenozoic Magmatic Arc (KCMA). Three visible bands and six SWIR bands of ASTER images were applied as inputs fo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Tehran
2020-06-01
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| Series: | International Journal of Mining and Geo-Engineering |
| Subjects: | |
| Online Access: | https://ijmge.ut.ac.ir/article_75432_dc05630417bfdf47e8ee34b2854b5208.pdf |