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Amin Beiranvand Pour

Bio: Amin Beiranvand Pour is an academic researcher from Universiti Malaysia Terengganu. The author has contributed to research in topics: Advanced Spaceborne Thermal Emission and Reflection Radiometer & Porphyry copper deposit. The author has an hindex of 32, co-authored 142 publications receiving 2662 citations. Previous affiliations of Amin Beiranvand Pour include Universiti Teknologi Malaysia & Korean Ocean Research and Development Institute.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the performance characteristics of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) remote sensor, the standard data products, and applications of the most recently developed image processing methods applied to ASTER data as a tool for mapping hydrothermal alteration mineral zones associated with porphyry copper and epithermal gold mineralization and related host-rock lithology.

239 citations

Journal ArticleDOI
TL;DR: In this paper, the performance of Principal Component Analysis, band ratio and minimum noise fraction transformation has been evaluated for the visible and near infrared (VNIR) and, shortwave infrared (SWIR) subsystems of ASTER data.

171 citations

Journal ArticleDOI
TL;DR: In this article, a two-stage methodology was adopted to distinguish pixel and sub-pixel targets in the satellite images, where the first stage used Continuum Removal (CR) spectral mapping tool and Independent Components Analysis (ICA) technique were applied to Landsat-8 and ASTER spectral bands to map the pixels related to poorly exposed lithological units.

140 citations

Journal ArticleDOI
TL;DR: In this article, the applicability of data from the recently launched Landsat-8 for mapping hydrothermal alteration areas and lithological units associated with porphyry copper exploration in arid and semi-arid regions was studied.

132 citations

Journal ArticleDOI
TL;DR: In this article, spectral image processing methods were applied to ASTER data for mapping hydrothermal alteration zones associated with porphyry copper mineralization and related host rock, including phyllic, argillic and propylitic mineral assemblages.

119 citations


Cited by
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09 Mar 2012
TL;DR: Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems as mentioned in this paper, and they have been widely used in computer vision applications.
Abstract: Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems. In this entry, we introduce ANN using familiar econometric terminology and provide an overview of ANN modeling approach and its implementation methods. † Correspondence: Chung-Ming Kuan, Institute of Economics, Academia Sinica, 128 Academia Road, Sec. 2, Taipei 115, Taiwan; ckuan@econ.sinica.edu.tw. †† I would like to express my sincere gratitude to the editor, Professor Steven Durlauf, for his patience and constructive comments on early drafts of this entry. I also thank Shih-Hsun Hsu and Yu-Lieh Huang for very helpful suggestions. The remaining errors are all mine.

2,069 citations

01 Feb 2016

1,970 citations

01 Jan 2016
TL;DR: The remote sensing and image interpretation is universally compatible with any devices to read and is available in the digital library an online access to it is set as public so you can get it instantly.
Abstract: Thank you very much for downloading remote sensing and image interpretation. As you may know, people have look hundreds times for their favorite novels like this remote sensing and image interpretation, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their computer. remote sensing and image interpretation is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the remote sensing and image interpretation is universally compatible with any devices to read.

1,802 citations

01 Jan 1981
TL;DR: In this article, the authors present an expression which gives the degree of confidence that can be assigned to the measured mean discontinuity spacing, and a reduced form of this expression is obtained for cases where the discontinuity spacings follow the negative exponential distribution.
Abstract: Abstract Knowledge of the spacing and size of discontinuities in a rock mass is of considerable importance for the prediction of rock behaviour. The characteristics of discontinuities can be estimated using scanline surveys but the precision of the estimates must be obtained and the bias caused by linear sampling must be eliminated before they can validly be used. Initially, an expression is presented which gives the degree of confidence that can be assigned to the measured mean discontinuity spacing. A reduced form of this expression is obtained for cases where the discontinuity spacings follow the negative exponential distribution. The precision of discontinuity frequency and RQD estimates is also explained. The distribution of trace lengths produced by the intersection of planar discontinuities with a planar rock face is used to determine the distribution of trace lengths, the distribution of semi-trace lengths and the distribution of censored semi-trace lengths intersected by a randomly located scanline. Comparison of the actual and sampled distributions demonstrates the bias introduced by scanline sampling of trace lengths. Relations between the distributions can be used to produce analytical or graphical methods of estimating mean trace length from censored measurements at exposures of limited extent.

505 citations