A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Detection and identification of objects in advanced Radar images
Synthetic Aperture Radars (SARs) are radars placed on a moving platform, typically a satellite or an aircraft for ground observation, which have large area coverage, as well as all-weather and day and night capabilities. Recent technological advances have made it possible to obtain high resolutions on the ground, of the order of magnitude of meters for spaceborne SAR and tens of centimeters for airborne SAR. These capabilities are of particular importance to find artificial objects such cars or boats at any time of the day or night, in any meteorological conditions, for time-critical applications such as organizing rescue operations. Likewise, this is particularly interesting for military applications, such as monitoring human activities and traffic in large areas and analyzing in real-time military movements and deployments. The data availability provided by SAR is also an undeniable advantage for urban development studying and planning. This thesis presents and illustrates different approaches to artificial object detection in fully polarimetric SAR images such as vehicles, buildings or ships, by making use of the specific scattering properties of artificial surfaces as opposed to natural scatterers. All examples provided in this thesis are high resolution fully polarimetric data sets, obtained either with the airborne F-SAR from the German Aerospace Center (DLR), or the PALSAR-2 aboard the ALOS-2 satellite from the Japanese Aerospace Exploration Agency. The use of fully polarimetric SAR brings an increased amount of information about the scatterers reflecting the signal in the resolution cells regarding their shape, geometry, orientation, and dielectric properties. Different representations of the data, obtained through polarimetric decompositions and polarimetric parameters, provide a link between the measurements obtained and specific physical properties of the scatterers. An overview of the polarimetric decompositions and features used for target detection is presented, and their individual use for vehicle ...
Detection and identification of objects in advanced Radar images
Synthetic Aperture Radars (SARs) are radars placed on a moving platform, typically a satellite or an aircraft for ground observation, which have large area coverage, as well as all-weather and day and night capabilities. Recent technological advances have made it possible to obtain high resolutions on the ground, of the order of magnitude of meters for spaceborne SAR and tens of centimeters for airborne SAR. These capabilities are of particular importance to find artificial objects such cars or boats at any time of the day or night, in any meteorological conditions, for time-critical applications such as organizing rescue operations. Likewise, this is particularly interesting for military applications, such as monitoring human activities and traffic in large areas and analyzing in real-time military movements and deployments. The data availability provided by SAR is also an undeniable advantage for urban development studying and planning. This thesis presents and illustrates different approaches to artificial object detection in fully polarimetric SAR images such as vehicles, buildings or ships, by making use of the specific scattering properties of artificial surfaces as opposed to natural scatterers. All examples provided in this thesis are high resolution fully polarimetric data sets, obtained either with the airborne F-SAR from the German Aerospace Center (DLR), or the PALSAR-2 aboard the ALOS-2 satellite from the Japanese Aerospace Exploration Agency. The use of fully polarimetric SAR brings an increased amount of information about the scatterers reflecting the signal in the resolution cells regarding their shape, geometry, orientation, and dielectric properties. Different representations of the data, obtained through polarimetric decompositions and polarimetric parameters, provide a link between the measurements obtained and specific physical properties of the scatterers. An overview of the polarimetric decompositions and features used for target detection is presented, and their individual use for vehicle ...
Detection and identification of objects in advanced Radar images
Connetable, Paul (author)
2022-01-01
Connetable , P 2022 , Detection and identification of objects in advanced Radar images . Technical University of Denmark , Kgs. Lyngby .
Book
Electronic Resource
English
DDC:
710
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