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Building detection by fusion of optical and SAR features in metric resolution data | IEEE Conference Publication | IEEE Xplore
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Building detection by fusion of optical and SAR features in metric resolution data


Abstract:

In this paper, we propose to jointly use optical and SAR features issued from satellite images with metric resolution, to deal with the problem of building detection and ...Show More

Abstract:

In this paper, we propose to jointly use optical and SAR features issued from satellite images with metric resolution, to deal with the problem of building detection and height retrieval. In a first part, a process described in previous works for building boundary extraction, is briefly exposed and illustrated on a Quickbird urban scene. In a second part, the framework of fusion with SAR data is developed. After the steps of feature projection and registration, a new method for building height estimation is proposed. This one is based on a Likelihood criterion optimization and is built on the scheme "height hypothesis characteristic areas generation energy minimization". Such an approach refers to the adequation between a potential building signature and the real signature, effectively present on the SAR image and defined by characteristic building areas such as layover, shadow, roof and ground/wall echo. This height retrieval process is tested on simulated and real (TerraSAR-X) data.
Date of Conference: 12-17 July 2009
Date Added to IEEE Xplore: 18 February 2010
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Conference Location: Cape Town, South Africa

References

References is not available for this document.