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Perceptual image analysis 

Henry, C.; Peters, J. F. (Inderscience Enterprises Ltd., 2010)
The problem considered in this paper is one of extracting perceptually relevant information from groups of objects based on their descriptions. Object descriptions are qualitatively represented by feature-value vectors ...
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Neighbourhood-based vision systems 

Henry, Christopher J.; Peters, James F. (Taylor and Francis, 2011)
The problem presented in this paper is how to find similarities between digital images useful in design cybernetic vision systems. The solution to this problem stems from a neighbourhood based vision system. A neighbourhood ...
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Automated Land Use and Land Cover Map Production: A Deep Learning Framework 

Alhassan, Victor (University of Winnipeg, 2018-10-19)
In this thesis, we present an approach to automating the creation of land use and land cover (LULC) maps from satellite images using deep neural networks that were developed to perform semantic segmentation of natural ...
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A Deep Learning Framework: Land-Use/Land-Cover Mapping and Analysis using Multispectral Satellite Imagery 

Alhassan, Victor; Henry, Christopher; Ramanna, Sheela; Storie, Christopher (Springer, 2019-07-17)
In this article, we present an approach to land-use and land-cover (LULC) mapping from multispectral satellite images using deep learning methods. The terms satellite image classification and map production, although used ...
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Automated LULC Map Production using Deep Neural Networks 

Henry, Christopher J.; Storie, Christopher; Palaniappan, Muthu; Alhassan, Victor; Swamy, Mallikarjun; Aleshinloye, Damilola; Curtis, Andrew; Kima, Daeyoun (Taylor & Francis, 2019-01-17)
This article presents an approach to automating the creation of land-use/land-cover classification (LULC) maps from satellite images using deep neural networks that were developed to perform semantic segmentation of natural ...
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A computational discussion on brain topodynamics: Comment on "Topodynamics of metastable brains" by Arturo Tozzi et al. 

Henry, Christopher J. (Elsevier, 2017-04-25)
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Quantifying nearness in visual spaces 

Henry, Christopher J.; Ramanna, Sheela; Levy, Daniel (Taylor & Francis, 2013)
Cybernetic vision systems can be deployed in problem domains where the goal is to achieve results similar to those produced by humans. Fundamentally, these problems consist of evaluation of image content between sets of ...
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Signature-based perceptual nearness: Application of near sets to image retrieval 

Henry, Christopher J.; Ramanna, Sheela (Birkhäuser, 2013)
This paper presents a signature-based approach to quantifying perceptual nearness of images. A signature is defined as a set of descriptors, where each descriptor consists of a real-valued feature vector associated with a ...
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Perception-based image classification: Framework for perception-based cybernetics 

Henry, Christopher; Peters, James F. (Emerald Insight, 2010-08-24)
Purpose: The purpose of this paper is to present near set theory using the perceptual indiscernibility and tolerance relations, to demonstrate the practical application of near set theory to the image correspondence problem, ...
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An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture 

Beck, Michael A.; Liu, Chen-Yi; Bidinosti, Christopher P.; Henry, Christopher J.; Godee, Cara M.; Ajmani, Manisha (PLOS, 2020-12-17)
A lack of sufficient training data, both in terms of variety and quantity, is often the bottleneck in the development of machine learning (ML) applications in any domain. For agricultural applications, ML-based models ...
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AuthorHenry, Christopher J. (8)Henry, Christopher (4)Ramanna, Sheela (4)Alhassan, Victor (3)Peters, James F. (2)Storie, Christopher (2)Ajmani, Manisha (1)Aleshinloye, Damilola (1)Beck, Michael A. (1)Bidinosti, Christopher P. (1)... View MoreSubjectNear sets (5)Classification (3)Deep neural networks (2)Digital image (2)Land cover (2)Land use (2)Maps (2)Perception (2)Satellite images (2)Tolerance space (2)... View MoreDate Issued2010 - 2020 (14)Has File(s)Yes (14)

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