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Journal of Spatial Science Volume 59, 2014 - Issue 2
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Special Feature

Towards a vector agent modelling approach for remote sensing image classification

K. BornaSchool of Surveying, University of Otago, Dunedin, New ZealandCorrespondence[email protected]
,
A.B. MooreSchool of Surveying, University of Otago, Dunedin, New Zealand
&
P. SirgueySchool of Surveying, University of Otago, Dunedin, New Zealand
Pages 283-296 | Published online: 28 May 2014

Citations (7)

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Benjamin Mewes & Andreas H. Schumann. (2019) An agent-based extension for object-based image analysis for the delineation of irrigated agriculture from remote sensing data. International Journal of Remote Sensing 40:12, pages 4623-4641.
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Articles from other publishers (6)

Saeed Rahimi, Antoni B. Moore & Peter A. Whigham. (2022) A vector-agent approach to (spatiotemporal) movement modelling and reasoning. Scientific Reports 12:1.
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Kambiz Borna, Antoni B. Moore, Azadeh Noori Hoshyar & Pascal Sirguey. (2021) Using Vector Agents to Implement an Unsupervised Image Classification Algorithm. Remote Sensing 13:23, pages 4896.
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Peter Hofmann. 2017. Modern Fuzzy Control Systems and Its Applications. Modern Fuzzy Control Systems and Its Applications.
Amin Zehtabian & Hassan Ghassemian. (2016) Automatic Object-Based Hyperspectral Image Classification Using Complex Diffusions and a New Distance Metric. IEEE Transactions on Geoscience and Remote Sensing 54:7, pages 4106-4114.
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Kambiz Borna, Antoni B. Moore & Pascal Sirguey. (2016) An intelligent geospatial processing unit for image classification based on geographic vector agents (GVAs). Transactions in GIS 20:3, pages 368-381.
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Kambiz Borna, Pascal Sirguey & Antoni B. Moore. (2015) An intelligent vector agent processing unit for geographic object-based image analysis. An intelligent vector agent processing unit for geographic object-based image analysis.

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