Object Alignment for Military Optical Surveillance
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.
[1] Sylman D, Zalevsky Z, Mico V, et al. 2009. Two-dimensional temporal
coherence coding for super resolved imaging. OPTICS
COMMUNICATIONS 282: 4057-4062.
[2] Temizel A, Vlachos T. 2006. Wavelet domain image resolution
enhancement. IEEE PROCEEDINGS-VISION IMAGE AND SIGNAL
PROCESSING: 153: 25-30.
[3] Lee J, Kim YH, Nam JH. 2008. Adaptive noise reduction algorithms
based on statistical hypotheses tests. IEEE TRANSACTIONS ON
CONSUMER ELECTRONICS: 54: 1406-1414.
[4] 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.
[1] Sylman D, Zalevsky Z, Mico V, et al. 2009. Two-dimensional temporal
coherence coding for super resolved imaging. OPTICS
COMMUNICATIONS 282: 4057-4062.
[2] Temizel A, Vlachos T. 2006. Wavelet domain image resolution
enhancement. IEEE PROCEEDINGS-VISION IMAGE AND SIGNAL
PROCESSING: 153: 25-30.
[3] Lee J, Kim YH, Nam JH. 2008. Adaptive noise reduction algorithms
based on statistical hypotheses tests. IEEE TRANSACTIONS ON
CONSUMER ELECTRONICS: 54: 1406-1414.
[4] 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.
@article{"International Journal of Information, Control and Computer Sciences:50689", author = "Oscar J.G. Somsen and Fok Bolderheij", title = "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.", keywords = "Electro-Optics, Automated Image alignment", volume = "5", number = "6", pages = "575-4", }