We go beyond standard approaches to extract greater value from imagery for our customers. Whatever the image waveband, type or quality, we have the understanding and experience to meet even the most demanding of requirements, whether through existing algorithms or new, bespoke solutions, we can tailor to price and performance demands. As image and data fusion experts, we also bring the ability to offer enhanced performance from multiple sensor sources, where available.
Our team members have experience going back over 25 years of designing and delivering novel image processing algorithms and systems to clients worldwide, and we bring that heritage and wealth of learning to all the projects we do. That experience, gained on the most demanding defence, space, security, surveillance, intelligence and commercial challenges, allows us to rapidly assess options and provide best-in-class solutions suited to customer needs and budgets.
We are most comfortable designing sensor system solutions, where we can advise on sensors and sensor mixes as well as the other important system factors that will affect final performance (e.g. processors, connectivity). This lets us model, develop and deliver the best solutions, and in the easiest way for clients to consume results, such as on mobile, via API, or as an embedded solution. Where image feeds are already fixed then we are ready to apply our processing techniques with the same attention to detail, to enhance, stabilise, mosaic, fuse, detect, track, classify or otherwise meet whatever image processing challenge you have.
Combining images and data requires intelligence and a deep understanding of errors and uncertainty. For example, if you have a clock then you know the time, but when you have two clocks you may not be so sure. Intelligent data fusion handles this uncertainty to give you the best possible view of the truth, with error bounds, and enables complementary data or image sources to provide enhanced or even previously not possible views, insights and knowledge.
We are masters of all levels of fusion, from pixels to information, and can tailor fused solutions whenever multiple data sources are available. Examples include fusing optical and radar satellite imagery to improve yield prediction accuracy and timeliness, fusing multispectral images to 'see through' bushfires, and using data fusion methods to estimate crop biomass. We would be delighted to speak to you about how we can help you get more out of your data and image sources.
Scarles, C., Treharne, H., Casey, M.C., Abidin, H.Z. (2020) "Micro-mobilities in Curated Spaces: Agency, Autonomy and Dwelling in Visitor Experiences of Augmented Reality in Arts and Heritage" Mobilities
Hickman, D.L., Smith, M.I., Lim, J., Jeon, Y. (2018) "Modelling of Celestial Backgrounds" Proceedings of SPIE 10641, Sensors and Systems for Space Applications XI
Parker, S.C., Hickman, D.L., Smith, M.I. (2015) "Real-time Processing of Dual Band HD Video for Maintaining Operational Effectiveness in Degraded Visual Environments" Proceedings of SPIE 9471, Degraded Visual Environments: Enhanced, Synthetic, and External Vision Solutions 2015
Casey, M.C., Pavlou, A., Timotheou, A. (2012) "Audio-Visual Localization with Hierarchical Topographic Maps: Modeling the Superior Colliculus" Neurocomputing, vol. 97, pp. 344-356, doi: 10.1016/j.neucom.2012.05.015 Download
Casey, M.C., Hickman, D.L., Pavlou, A., Sadler, J.R.E. (2011) "Small-scale Anomaly Detection in Panoramic Imaging using Neural Models of Low-level Vision" Proceedings of SPIE Defense, Security, and Sensing Conference 2011 on Enhanced and Synthetic Vision, volume 8042B. SPIE, Florida, 25-29 April 2011 Download
Casey, M.C., Pavlou, A., Timotheou, A. (2010) "Mind the (Computational) Gap" Proceedings of the UK Workshop on Computational Intelligence (UKCI 2010), Essex, 8-10 September Download
Bamber, D.C., Page, S.F., Bolsover, M., Hickman, D.L., Smith, M.I., Kimber, P.K. (2010) "Adaptive Image Kernels for Maximising Image Quality" Proceedings of SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 769608
Heather, J.P., Smith, M.I. (2010) "New Adaptive Algorithms for Real-time Registration and Fusion of Multimodal Imagery" Proceedings of SPIE 7689, Enhanced and Synthetic Vision 2010, 768908
Heather, J.P., Smith, M.I., Sadler, J., Hickman, D.L. (2010) "Issues and Challenges in the Development of a Commercialised Image Fusion System" Proceedings of SPIE 7701, Visual Information Processing XIX, 77010A
Pavlou, A., Casey, M.C. (2009) "A Computational Platform for Visual Fear Conditioning" Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2009. Atlanta, Georgia: IEEE Download
Steer, C., Rogers, J., Smith, M.I., Heather, J., Bernhardt, M., Hickman, D.L. (2008) "Advances in Image Registration and Fusion" Proceedings SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 697404
Bernhardt, M., Heather, J., Smith, M.I. (2005) "New Models for Hyperspectral Anomaly Detection and Un-mixing" Proceedings of SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI
Dwyer, D.J., Smith, M.I., Dale, J.L., Heather, J.P. (2005) "Real-time Implementation of Image Alignment and Fusion" Proceedings SPIE 5813, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005
Bernhardt, M., Smith, M.I., Whitehead, P.G., Hunt, L.N., Hickman, D.L., Dent, C. (2004) "A Statistical Sea-surface Clutter Model in the Long-wave Infrared" Proceedings of SPIE 5431, Targets and Backgrounds X: Characterization and Representation