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Browsing Research Publications/Outputs by Author "Salmon, BP"

Now showing items 21-40 of 41

A novel Spatio-temporal change detection approach using hyper-temporal satellite data

Author: Kleynhans, W ; Salmon, BP ; Wessels, Konrad J Date: Jul 2014 The use of hyper-temporal MODIS time-series data for the detection of land cover change in South Africa has been an active research area the last few year. This paper expands on previous studies that show that this type of data can be effectively ... Read more
Proper comparison among methods using a confusion matrix

Author: Salmon, BP ; Kleynhans, W ; Schwegmann, CP ; Olivier, JC Date: Jul 2015 An important aspect of research in the remote sensing field is to objectively compare different classifiers. This is the foundation of hundreds of research projects and in this paper we will address some raising concerns when evaluating ... Read more
Quest for automated land cover change detection using satellite time series data

Author: Salmon, BP ; Olivier, JC ; Kleynhans, W ; Wessels, Konrad J ; Van den Bergh, F Date: Jul 2009 This paper shows that a feedforward Multilayer Perceptron (MLP) operating over a temporal sliding window of multispectral time series MODerate-resolution Imaging Spectroradiometer (MODIS) satellite data is able to detect land cover change ... Read more
Rapid detection of new and expanding human settlements in the Limpopo province of South Africa using a spatio-temporal change detection method

Author: Kleynhans, W ; Salmon, BP ; Wessels, Konrad J ; Olivier, JC Date: Aug 2015 Recent development has identified the benefits of using hyper-temporal satellite time series data for land cover change detection and classification in South Africa. In particular, the monitoring of human settlement expansion in the Limpopo ... Read more
Rapid land cover map updates using change detection and robust random forest classifiers

Author: Wessels, Konrad J ; Van den Bergh, F ; Roy, DP ; Salmon, BP ; Steenkamp, Karen C ; MacAlister, B ; Swanepoel, D ; Jewit, D Date: 2016 The paper evaluated the Landsat Automated Land Cover Update Mapping (LALCUM) system designed to rapidly update a land cover map to a desired nominal year using a pre-existing reference land cover map. The system uses the Iteratively Reweighted ... Read more
A search algorithm to meta-optimize the parameters for an extended Kalman filter to improve classification on hyper-temporal images

Author: Salmon, BP ; Kleynhans, W ; Van den Bergh, F ; Olivier, JC ; Marais, WJ ; Grobler, TL ; Wessels, Konrad J Date: Jul 2012 In this paper the Bias Variance Search Algorithm is proposed as an algorithm to optimize a candidate set of initial parameters for an Extended Kalman filter (EKF). The search algorithm operates on a Bias Variance Equilibrium Point criterion ... Read more
Ship detection in Sentinel-1 imagery using the h-dome transformation

Author: Schwegmann, CP ; Kleynhans, W ; Salmon, BP ; Mdakane, L Date: Jul 2015 The ability to reliably detect ships within the ocean is one of the core capabilities of Maritime Domain Awareness. Constant improvements are pursued in both computational speed and reliable responses to events by exploring new ship detection ... Read more
Ship detection in South African oceans using a combination of SAR and historic LRIT data

Author: Kleynhans, W ; Salmon, BP ; Schwegmann, CP ; Seotlo, MV Date: Jul 2013 Regular surveillance of territorial sea areas is increasingly important for coastal nations as these marine areas are a valuable economic resource (e.g. for fisheries or oil extraction). The responsibility for the administration, law enforcement, ... Read more
Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier

Author: Schwegmann, CP ; Kleynhans, W ; Salmon, BP Date: Jul 2014 Synthetic Aperture Radar images is a proven technology that can be used to detect ships at sea which have no active transponders (commonly referred to as dark targets). Various methods have been proposed that process SAR images to monitor ... Read more
Ships as salient objects in synthetic aperture radar imaginary

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP ; Mdakane, Lizwe W ; Meyer, Rory GV Date: Jul 2016 The widespread access to Synthetic Aperture Radar data has created a need for more precise ship extraction, specifically in low-to-medium resolution imagery. While Synthetic Aperture Radar pixel resolution is improving for a large swaths, ... Read more
Simulated annealing CFAR threshold selection for South African ship detection in ASAR imagery

Author: Schwegmann, CP ; Kleynhans, W ; Salmon, BP Date: Jul 2014 Synthetic Aperture Radar images are able to detect ships that would be hidden to tradition ship tracking methods due to their transponders being turned off. Using a SAR image as input, the CFAR method can highlight these ships given a correctly ... Read more
Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data

Author: Kleynhans, W ; Olivier, JC ; Salmon, BP ; Wessels, Konrad J ; Van den Bergh, F Date: 2010 A method for detecting land cover change using NDVI timeseries data derived fromMODerate-resolution Imaging Spectroradiometer (MODIS) satellite data is proposed. The algorithm acts as a per pixel change alarm and takes as input the NDVI ... Read more
A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite data

Author: Kleynhans, W ; Salmon, BP ; Wessels, Konrad J ; Olivier, JC Date: Jul 2013 There has been recent developments in the use of hypertemporal satellite time series data for land cover change detection and classification in South Africa and in particular, the monitoring of human settlement expansion is of relevance as ... Read more
Synthetic aperture radar ship detection using capsule networks

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP ; Mdakane, Lizwe W ; Meyer, Rory GV Date: Jul 2018 Deep Learning has become a common applied technique to improve results in a variety of detection scenarios, including Synthetic Aperture Radar ship detection. One of the most common Deep Learning techniques, Convolutional Neural Networks, ... Read more
Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP ; Mdakane, Lizwe W ; Meyer, Rory GV Date: Jul 2017 A major task in any discrimination scenario requires the collection and validation of as many examples as possible. Depending on the type of data this can be a time consuming process, especially when dealing with large remote sensing data ... Read more
Transfer learning for multi-frequency synthetic aperture radar applications

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP ; Mdakane, Lizwe W ; Meyer, Rory GV ; Janoth, J ; Lumsdon, P Date: Jul 2018 To correctly train a system to detect ships in Sythetic Aperture Radar imagery requires the creation of a validated dataset. This dataset is used to train a Machine Learning system to identify ships and non-ships. Recent advances in Deep ... Read more
Transforming the autocorrelation function of a time series to detect land cover change

Author: Salmon, BP ; Kleynhans, Waldo ; Olivier, JC ; Schwegmann, Colin P Date: Jul 2015 Regional monitoring of land cover conversion of natural vegetation to new informal human settlements is essential when investigating the migration of people to urbanized cities. Detecting these new settlements require reliable change detection ... Read more
Unsupervised land cover change detection: meaningful sequential time series analysis

Author: Salmon, BP ; Olivier, JC ; Wessels, Konrad J ; Kleynhans, W ; Van den Bergh, F ; Steenkamp, Karen C Date: Jun 2011 An automated land cover change detection method is proposed that uses coarse spatial resolution hyper-temporal earth observation satellite time series data. The study compared three different unsupervised clustering approaches that operate ... Read more
The use of a multilayer perceptron for detecting new human settlements from a time series of MODIS images

Author: Salmon, BP ; Olivier, JC ; Kleynhans, W ; Wessels, Konrad J ; Van den Bergh, F ; Steenkamp, Karen C Date: Dec 2011 This paper presents a novel land cover change detection method that employs a sliding window over hyper-temporal multi-spectral images acquired from the 7 bands of the MODerate-resolution Imaging Spectroradiometer (MODIS) land surface reflectance ... Read more
Very deep learning for ship discrimination in synthetic aperture radar imagery

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP ; Mdakane, Lizwe W ; Meyer, Rory GV Date: Jul 2016 Efficient and effective ship discrimination across multiple Synthetic Aperture Radar sensors is becoming more important as access to SAR data becomes more widespread. A flexible means of separating ships from sea is ideal and can be accomplished ... Read more

Now showing items 21-40 of 41

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