NDLI: A Markovian scheme for joint retrieval of classification and height map from urban interferometric SAR images

Content Provider	IEEE Xplore Digital Library
Author	Tison, C. Tupin, F. Maitre, H.
Copyright Year	2005
Description	Author affiliation: CNES DCT/SI/AR, Toulouse, France (Tison, C.)
Abstract	Synthetic aperture radar (SAR) interferometry enables to compute an height map of the scene which is useful for many applications. Yet the complexity of high resolution SAR images and of urban areas prevents from computing an accurate DSM easily and a high level processing chain is thus required. In this article, we propose a Markovian fusion scheme to retrieve jointly the height map and the classification. The original data (amplitude, interferogram and coherence) are first processed in order to get new entries. They represent advanced information on the scene, extracted with different approaches (filtering, object recognition or global classification). These features are then merged in a Markovian framework to recover an improved classification and height map. The method is illustrated on real data.
File Size	188715
File Format	PDF
ISBN	0780391349
DOI	10.1109/ICIP.2005.1529832
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Layout Synthetic aperture radar Interferometry Image resolution Urban areas Data mining Information filtering Information filters Object recognition
Content Type	Text
Resource Type	Article

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