NDLI: Reconstruction of the building objects from multi-aspect high-resolution SAR images

Content Provider	IEEE Xplore Digital Library
Author	Ya-Qiu Jin Feng Xu
Copyright Year	2007
Description	Author affiliation: Fudan Univ., Shanghai (Ya-Qiu Jin; Feng Xu)
Abstract	In this paper, an approach to the automatic reconstruction of 3D simple building objects from multi-aspect metric-resolution SAR images is proposed. The edge detector of constant false alarm rate (CFAR) and a parallel Hough transform technique are first employed to extract the parallelogram-like image of the building walls in SAR image. A set of probability density functions is presented to describe the extracted random wall-images and their multi-aspect coherence. Then the maximum-likelihood estimation of object is derived from its multi-aspect object-images. A hybrid priority criterion is defined to evaluate the reliability of reconstruction result, based on which, an automatic reconstruction algorithm is further devised to match object-images of different aspects and finally reconstruct the building objects. Four-aspect Pi-SAR images over Sendai, Japan are adopted for reconstruction. The results show the fidelity of the whole process chain and the feasibility of 3D objects automatic reconstruction from multi-aspect SAR images.
Starting Page	555
Ending Page	558
File Size	1600788
Page Count	4
File Format	PDF
ISBN	9781424412112
DOI	10.1109/IGARSS.2007.4422854
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Image edge detection Detectors Buildings Scattering Object detection Data mining Maximum likelihood estimation Algorithm design and analysis Spatial resolution building reconstruction multi-aspect coherence high-resolution SAR
Content Type	Text
Resource Type	Article

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