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.
 
 
 
 
 Significance: 
 
 
 
 Provides an interest point for several image-processing and computer vision sciences.
 Contributes to geospatial studies and helps improve mapping and imaging initiatives.
 Directed towards solving the challenges that urban governors face in slum management.
 
 
 
Highlights
Organic or biological systems offer great models for imitating and learning from in the development of important technologies.[1]
Inspiration from the human visual system is significant in imaging efforts because the end user of most imagery is the human eye itself, mimicking its optical capability creates an opportunity for optimised artificial intelligence
A response was rated as a correct response (CR) if the respondent correctly selected an accurate response for a multiplechoice question and as an incorrect response (IR) if the response was incorrect
Summary
Organic or biological systems offer great models for imitating and learning from in the development of important technologies.[1] A classic example of this concept is flying – inspired by birds – on which aerial photogrammetry is based. Another example is graphic cable connectors whose titles ‘male’ or ‘female’ are inspired by human anatomy.[2] in the earth observation based science of remote sensing, a range of ideas has been developed based on the behaviour of organic systems. Inspiration from the human visual system is significant in imaging efforts because the end user of most imagery is the human eye itself, mimicking its optical capability creates an opportunity for optimised artificial intelligence
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