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E. Farahbakhsh

6 papers hereh-index 11857 citations44 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG2
  • stat.AP1

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedComputer vision-based framework for extracting geological lineaments from optical remote sensing data

61 citations · 115 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

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…

cs.CV2025

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…

cs.CV2018★ 61 cited

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…

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