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Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery

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dc.contributor.author Shoko, Moreblessings
dc.contributor.author Smit, Julian Lloyd
dc.date.accessioned 2019-04-11T14:05:02Z
dc.date.available 2019-04-11T14:05:02Z
dc.date.issued 2016
dc.identifier.issn 0038-2353
dc.identifier.uri http://dx.doi.org/10.17159/ sajs.2016/20160065
dc.identifier.uri http://hdl.handle.net/11408/3521
dc.description.abstract Organic studies inspire cues for modelling logic in image processing and become a basis for the development of novel remote-sensing algorithms. Examples of applications of such paradigms include the growing application of techniques such as object-oriented analysis and neural networks in image analysis for which the logic was drawn from studying various components of organic systems in the human body. Here we document a key investigation based on a set of cognitive tests conducted using aerial imagery captured over Cape Town (South Africa). These tests were conducted to later draw parallels with a feature extraction algorithm for shack settlements. We found that the visual variables of ‘pattern’ and ‘shape’ display the most significant cognitive guide for shack boundary extraction. Although the focus here was on digital imagery, learning points can be selected for application in other scientific fields as well. en_US
dc.language.iso en en_US
dc.publisher Academy of Science of South Africa en_US
dc.relation.ispartofseries South African Journal of Science;Vol. 112, No. 11/12
dc.subject Modelling en_US
dc.subject Shack en_US
dc.title Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery en_US
dc.type Article en_US


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