TEST - Catálogo BURRF
   

Unexploded Ordnance Detection and Mitigation / edited by Jim Byrnes.

Por: Colaborador(es): Tipo de material: TextoTextoSeries NATO Science for Peace and Security Series B: Physics and BiophysicsEditor: Dordrecht : Springer Netherlands, 2009Descripción: recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9781402092534
Otro título:
  • Proceedings of the NATO Advanced Study Institute on Unexploded Ordnance Detection and Mitigation Il Ciocco 20 July - 2 August 2008
Formatos físicos adicionales: Edición impresa:: Sin títuloRecursos en línea:
Contenidos:
Wavelet Decomposition of Measures: Application to Multifractal Analysis of Images -- Volatile Compounds Detection by IR Acousto-Optic Detectors -- Knowledge Based Diversity Processing -- Ground Penetrating Radar for Buried Landmine and IED Detection -- Overview of Statistical Tests for Unexploded Ordnance Detection -- Low Frequency Radar for Buried Target Detection -- UXO Signal Multi Sensor Detection and Estimation -- Advanced Multifunctional Sensor Systems -- Applications of Luminescence to Fingerprints and Trace Explosives Detection -- Electromagnetic Methods for UXO Discrimination -- Some Advances in UWB GPR -- Operational Research Approach to Decision Making -- Recent Advances in Space-Variant Deblurring and Image Stabilization -- UXO Detection Techniques Using Sonar and Radar.
Resumen: The detection and neutralization of unexploded ordnance (UXO) has been of major concern for very many decades; at least since the First World War. UXO continues to be the subject of intensive research in many fields of science. While today's headlines emphasize the mayhem resulting from the placement of improvised explosive devices (IEDs), humanitarian landmine clearing continues to draw significant global attention as well. In many countries of the world, landmines threaten the population and hinder reconstruction and fast, efficient utilization of large areas of the mined land in the aftermath of military conflicts. The reports in this volume, written by world leaders from academia, Government and industry, describe how basic ideas from mathematics, radar, sonar and chemistry can be combined with ongoing improvements in hardware and computation, as well as very new advances in multisensor data fusion, to yield the promise of more sophisticated and accurate UXO detection and identification capabilities than currently exist.
Valoración
    Valoración media: 0.0 (0 votos)
No hay ítems correspondientes a este registro

Springer eBooks

Wavelet Decomposition of Measures: Application to Multifractal Analysis of Images -- Volatile Compounds Detection by IR Acousto-Optic Detectors -- Knowledge Based Diversity Processing -- Ground Penetrating Radar for Buried Landmine and IED Detection -- Overview of Statistical Tests for Unexploded Ordnance Detection -- Low Frequency Radar for Buried Target Detection -- UXO Signal Multi Sensor Detection and Estimation -- Advanced Multifunctional Sensor Systems -- Applications of Luminescence to Fingerprints and Trace Explosives Detection -- Electromagnetic Methods for UXO Discrimination -- Some Advances in UWB GPR -- Operational Research Approach to Decision Making -- Recent Advances in Space-Variant Deblurring and Image Stabilization -- UXO Detection Techniques Using Sonar and Radar.

The detection and neutralization of unexploded ordnance (UXO) has been of major concern for very many decades; at least since the First World War. UXO continues to be the subject of intensive research in many fields of science. While today's headlines emphasize the mayhem resulting from the placement of improvised explosive devices (IEDs), humanitarian landmine clearing continues to draw significant global attention as well. In many countries of the world, landmines threaten the population and hinder reconstruction and fast, efficient utilization of large areas of the mined land in the aftermath of military conflicts. The reports in this volume, written by world leaders from academia, Government and industry, describe how basic ideas from mathematics, radar, sonar and chemistry can be combined with ongoing improvements in hardware and computation, as well as very new advances in multisensor data fusion, to yield the promise of more sophisticated and accurate UXO detection and identification capabilities than currently exist.

Para consulta fuera de la UANL se requiere clave de acceso remoto.

Universidad Autónoma de Nuevo León
Secretaría de Extensión y Cultura - Dirección de Bibliotecas @
Soportado en Koha