61 citations · 115 across the 6 of their papers we have counts for
6 papers
Landcover classification and change detection using remote sensing and machine learning: a case study of Western Fiji
Yadvendra Gurjar, Ruoni Wan, Ehsan Farahbakhsh +1
As a developing country, Fiji is facing rapid urbanisation, which is visible in the massive development projects that include housing, roads, and civil works. In this study, we pre…
Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data
Ehsan Farahbakhsh, Dakshi Goel, Dhiraj Pimparkar +2
Traditional geological mapping, based on field observations and rock sample analysis, is inefficient for continuous spatial mapping of features like alteration zones. Deep learning…
Remote sensing framework for geological mapping via stacked autoencoders and clustering
Sandeep Nagar, Ehsan Farahbakhsh, Joseph Awange +1
Supervised machine learning methods for geological mapping via remote sensing face limitations due to the scarcity of accurately labelled training data that can be addressed by uns…
A review of machine learning in processing remote sensing data for mineral exploration
Hojat Shirmard, Ehsan Farahbakhsh, R. Dietmar Muller +1
The decline of the number of newly discovered mineral deposits and increase in demand for different minerals in recent years has led exploration geologists to look for more efficie…
Three-dimensional weights of evidence modeling of a deep-seated porphyry Cu deposit
Ehsan Farahbakhsh, Ardeshir Hezarkhani, Taymour Eslamkish +2
Given the challenges in data acquisition and modeling at the stage of detailed exploration, it is difficult to develop a prospectivity model, particularly for disseminated ore depo…
Computer vision-based framework for extracting geological lineaments from optical remote sensing data
Ehsan Farahbakhsh, Rohitash Chandra, Hugo K. H. Olierook +4
The extraction of geological lineaments from digital satellite data is a fundamental application in remote sensing. The location of geological lineaments such as faults and dykes a…