Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Robust Principal Component Analysis and Fractal Methods to Delineate Mineralization-Related Hydrothermally-Altered Zones from ASTER Data: A Case Study of Dehaj Terrain, Central Iran

N. Habibkhah; H. Hassani; A. Maghsoudi; M. Honarmand

Volume 11, Issue 4 , October 2020, , Pages 1023-1037


  The Dehaj area, located in the southern part of the Urumieh-Dokhtar magmatic belt, is a well-endowed terrain hosting a number of world-class porphyry copper deposits. These deposits are all hosted in an acidic to intermediate volcano-plutonic sequence greatly affected by various types of the hydrothermal ...  Read More

Evaluating the effect of using different reference spectra on SAM classification results: an implication for hydrothermal alteration mapping

M. Honarmand; H. Ranjbar; H. Shahriari; F. Naseri

Volume 9, Issue 4 , October 2018, , Pages 981-997


  This research was performed with the objective of evaluating the accuracy of spectral angle mapper (SAM) classification using different reference spectra. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) digital images were applied in the SAM classification in order to map the ...  Read More

Hydrothermal alterations mapping using Quickbird and Landsat-8 data, a case study from Babbiduyeh, Kerman province, Iran

H. Aryanmehr; M. Hosseinjanizadeh; M. Honarmand; F. Naser

Volume 9, Issue 1 , January 2018, , Pages 41-52


  In this work, we focus on investigating the Quickbird and Landsat-8 datasets for mapping hydrothermal and gossans alterations in reconnaissance porphyry copper mineralization in the Babbiduyeh area. This area is situated in the Central Iranian Volcano-sedimentary Complex, where large copper deposits ...  Read More

Sub-pixel classification of hydrothermal alteration zones using a kernel-based method and hyperspectral data; A case study of Sarcheshmeh Porphyry Copper Mine and surrounding area, Kerman, Iran

A. Salimi; M. Ziaii; A. Amiri; M. Hosseinjani Zadeh

Volume 8, Issue 4 , October 2017, , Pages 555-565


  Remote sensing image analysis can be carried out at the per-pixel (hard) and sub-pixel (soft) scales. The former refers to the purity of image pixels, while the latter refers to the mixed spectra resulting from all objects composing of the image pixels. The spectral unmixing methods have been developed ...  Read More

Adaptive Neuro-Fuzzy Inference System application for hydrothermal alteration mapping using ASTER data

Saeed Mojeddifar; Hojatollah Ranjbar; Hossain Nezamabadipour

Volume 4, Issue 2 , July 2013, , Pages 83-96


  The main problem associated with the traditional approach to image classification for the mapping of hydrothermal alteration is that materials not associated with hydrothermal alteration may be erroneously classified as hydrothermally altered due to the similar spectral properties of altered and unaltered ...  Read More