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Descriptive Topological Spaces for Performing Visual Search
(Springer, 2019-02-02)
This article presents an approach to performing the task of visual search in the context of descriptive topological spaces. The presented algorithm forms the basis of a descriptive visual search system (DVSS) that is based ...
Inside out: transforming images of lab-grown plants for machine learning applications in agriculture
(Frontiers, 2023-07-06)
Machine learning tasks often require a significant amount of training data for the resultant network to perform suitably for a given problem in any domain. In agriculture, dataset sizes are further limited by phenotypical ...
Quantifying nearness in visual spaces
(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 ...
Signature-based perceptual nearness: Application of near sets to image retrieval
(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 ...
A Deep Learning Framework: Land-Use/Land-Cover Mapping and Analysis using Multispectral Satellite Imagery
(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 ...
Automated LULC Map Production using Deep Neural Networks
(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 ...
Neighbourhoods, classes, and near sets
(Applied Mathematical Sciences,, 2011)
The article calls attention to the relationship between neighbourhoods and tolerance classes in the foundations of tolerance near sets. A particular form of tolerance relation is given by way of introduction to descriptively ...
Metric free nearness measure using description-based neighbourhoods
(Springer, 2013-02-26)
The focus of this paper is on a metric free nearness measure for quantifying the descriptive nearness of digital images. Regions of Interest (ROI) play an important role in discerning perceptual similarity within a single ...