Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery
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 analy...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Academy of Science of South Africa
2019
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.17159/ sajs.2016/20160065 http://hdl.handle.net/11408/3521 |
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| _version_ | 1779905222519291904 |
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| author | Shoko, Moreblessings Smit, Julian Lloyd |
| author_facet | Shoko, Moreblessings Smit, Julian Lloyd |
| author_sort | Shoko, Moreblessings |
| collection | DSpace |
| description | 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. |
| format | Article |
| id | ir-11408-3521 |
| institution | My University |
| language | English |
| publishDate | 2019 |
| publisher | Academy of Science of South Africa |
| record_format | dspace |
| spelling | ir-11408-35212022-06-27T13:49:06Z Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery Shoko, Moreblessings Smit, Julian Lloyd Modelling Shack 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. 2019-04-11T14:05:02Z 2019-04-11T14:05:02Z 2016 Article 0038-2353 http://dx.doi.org/10.17159/ sajs.2016/20160065 http://hdl.handle.net/11408/3521 en South African Journal of Science;Vol. 112, No. 11/12 open Academy of Science of South Africa |
| spellingShingle | Modelling Shack Shoko, Moreblessings Smit, Julian Lloyd Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery |
| title | Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery |
| title_full | Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery |
| title_fullStr | Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery |
| title_full_unstemmed | Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery |
| title_short | Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery |
| title_sort | deriving cues from human cognition for the modelling of shack boundaries in aerial imagery |
| topic | Modelling Shack |
| url | http://dx.doi.org/10.17159/ sajs.2016/20160065 http://hdl.handle.net/11408/3521 |
| work_keys_str_mv | AT shokomoreblessings derivingcuesfromhumancognitionforthemodellingofshackboundariesinaerialimagery AT smitjulianlloyd derivingcuesfromhumancognitionforthemodellingofshackboundariesinaerialimagery |