DocumentCode :
2231099
Title :
Matching of Persistent Scatterers to buildings
Author :
Schunert, Alexander ; Schack, Lukas ; Soergel, Uwe
Author_Institution :
Inst. of Phototgrammetry & Geoinf., Leibniz Univ. Hannover, Hannover, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
5733
Lastpage :
5736
Abstract :
Persistent Scatterer Interferometry (PSI) aims at estimating the topography and deformation for a set of sufficiently stable radar targets, referred to as Persistent Scatterers (PS). Thereby, a stack of SAR images is exploited to distinguish between signal of interest and disturbances caused by, for instance, changes of the atmospheric conditions over time. The achievable sampling density mainly depends on the resolution of the employed sensor, and the characteristics of the scene at hand (i.e. the number of sufficiently stable reflectors). In case space-borne SAR data of the highest resolution is used, very high PS densities, potentially enabling the mapping of structures at sub-building level, can be achieved. This offers a big and completely new range of possible applications. For instance, it is possible to monitor single buildings using PSI. But with this also new questions and challenges arise. Two of those would be: which buildings are sampled dense enough for monitoring purposes, and to which actual building structure does the PS correspond? In order to investigate those questions, the PS results are aligned with building outlines. This easily enables to map the PS density of buildings, which partly answers the first question. Admittedly, also the distribution of the PS and the shape of the building as well as its structure play a role. But a map of the PS density would be definitely helpful to assess which structures can be monitored adequately. The correspondence between actual building structures and PS is a good deal harder to answer. In this work, we attempt to improve the geocoding of the PS with the help of the GIS data, in view of the fact that this may be very helpful for the given task.
Keywords :
geographic information systems; geophysical image processing; geophysical techniques; image matching; image resolution; light interferometers; remote sensing by radar; synthetic aperture radar; topography (Earth); GIS data; PSI; SAR images; atmospheric conditions; building outlines; building structure; deformation estimation; geocoding; image resolution; persistent scatterer interferometry; persistent scatterer matching; sampling density analysis; topography estimation; Buildings; Google; Iterative closest point algorithm; Monitoring; Solid modeling; Synthetic aperture radar; Radar interferometry; Synthetic aperture radar; Urban areas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352309
Filename :
6352309
Link To Document :
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