Commenced in January 2007
Paper Count: 30184
Object Alignment for Military Optical Surveillance
Abstract:Electro-optical devices are increasingly used for military sea-, land- and air applications to detect, recognize and track objects. Typically, these devices produce video information that is presented to an operator. However, with increasing availability of electro-optical devices the data volume is becoming very large, creating a rising need for automated analysis. In a military setting, this typically involves detecting and recognizing objects at a large distance, i.e. when they are difficult to distinguish from background and noise. One may consider combining multiple images from a video stream into a single enhanced image that provides more information for the operator. In this paper we investigate a simple algorithm to enhance simulated images from a military context and investigate how the enhancement is affected by various types of disturbance.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055407Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1187
 Sylman D, Zalevsky Z, Mico V, et al. 2009. Two-dimensional temporal coherence coding for super resolved imaging. OPTICS COMMUNICATIONS 282: 4057-4062.
 Temizel A, Vlachos T. 2006. Wavelet domain image resolution enhancement. IEEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING: 153: 25-30.
 Lee J, Kim YH, Nam JH. 2008. Adaptive noise reduction algorithms based on statistical hypotheses tests. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS: 54: 1406-1414.
 Mattiucci N, D'Aguanno G, Scalora M, et al. 2009. Transmission function properties for multi-layered structures: Application to superresolution. OPTICS EXPRESS 17: 17517-17529.