http://hdl.handle.net/10204/1831 Thu, 23 May 2013 02:24:33 GMT 2013-05-23T02:24:33Z http://hdl.handle.net/10204/5312 Title: Quantitative analysis of the improvement in omnidirectional maritime surveillance and tracking due to real-time image enhancement Authors: De Villiers, JP; Bachoo, AK; Nicolls, FC; Le Roux, FPJ Abstract: Omnidirectional camera systems are used to supplement RADAR in tracking small craft close in to the ship in a maritime environment. They can simultaneously track multiple targets to provide a more complete situational awareness. Due to their wide field of view the targets may be only a few pixels each. The improvement in tracking small boats, after using real-time image enhancement techniques to mitigate the atmospheric blurring and loss of contrast, is evaluated for several common tracking techniques. A differential GPS and geo-alignment of the cameras is used to create a ground truth for objective comparison. Description: Defense, Security, and Sensing (DSS11), Orlando World Center Marriott Resort & Convention Centre, Orlando, Florida, USA, 26-28 April 2011 Fri, 01 Apr 2011 00:00:00 GMT http://hdl.handle.net/10204/5312 2011-04-01T00:00:00Z http://hdl.handle.net/10204/3539 Title: CSIR-NLC mobile LIDAR: first scientific results Authors: Sivakumar, V; Tesfaye, M; Moema, D; Sharma, A; Bollig, C Abstract: In this paper, researchers present the obtained first scientific results from CSIR-NLC mobile LIDAR (LIght Detection And Ranging) and its validation/comparison with other ground and space-borne measurements. The LIDAR results are compared using aerosol measurements from the Stratosphere Aerosol Gas Experiment (SAGE) and Optical depth derived from sun-photometer employed under AErosol RObotic NETwork (AERONET). Description: IEEE International Geoscience and Remote Sensing Symposium. Cape Town, South Africa, 12-17 July 2009 Wed, 01 Jul 2009 00:00:00 GMT http://hdl.handle.net/10204/3539 2009-07-01T00:00:00Z http://hdl.handle.net/10204/3421 Title: Self-organising sensor web using cell-fate optimisation Authors: Van Zyl, TL; Ehlers, EM Abstract: The Sensor Web as an open complex adaptive system exhibits many characteristics that are common to self organising systems. One of the characteristics of the Sensor Web is that of self-adaptivity in a changing environment. The changing environment may be doing so both dynamically and stochastically. When presented by a dynamic and stochastic changing environment, such as a sensor resource unexpectedly going down, a self-adaptive system should exhibit robustness. Cell-fate optimisation and signal regulatory networks provide a mechanism for self-organisation of agents in environments that are dynamic, distributed and possibly stochastic. Cell-fate optimisation and signal regulatory networks are shown to be effective mechanisms not only for addressing robustness but also for addressing adaptivity in the sensor web in general Description: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July 2009 Wed, 01 Jul 2009 00:00:00 GMT http://hdl.handle.net/10204/3421 2009-07-01T00:00:00Z http://hdl.handle.net/10204/3394 Title: Using SensorML to describe scientific workflows in distributed web service environments Authors: Van Zyl, TL; Vahed, A; Mcferren, GA; Shabangu, P; Cwele, B Abstract: Scientific Workflows provides a technology that facilitates researchers by allowing them to capture in a machine processable manner the method relating to some research. This increases both provenance and repeatability of the research and allows for increased collaboration through workflow sharing. The Sensor Web is an open complex adaptive system the pervades the internet and provides access to sensor resources. One mechanism for describing sensor resources is through the use of SensorML. It is shown that SensorML can be used as a mechanism for describing Scientific Workflows and thus facilitates completely distributed workflow descriptions on the web. However in order to fully capture the requirements as relating to open and distributed environments some extensions to SensorML will be required Description: IEEE International Geoscience and Remote Sensing Symposium IGARSS 2009 Wed, 01 Jul 2009 00:00:00 GMT http://hdl.handle.net/10204/3394 2009-07-01T00:00:00Z