Paper
8 March 1996 Building assessment with subpixel accuracy using satellite imagery
Author Affiliations +
Proceedings Volume 2656, Visual Data Exploration and Analysis III; (1996) https://doi.org/10.1117/12.234692
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
This paper describes a semi-automated building assessment method (SABAM) for estimating building edges with sub-pixel accuracy. The semi-automated approach is based on an earlier manual point method which determined building height using shadow length analysis. The manual method was then semi-automated using a sub-pixel edge detection algorithm to obtain more precise building edges and reduce human interpretation. Edge locations have been evaluated to within 1/100th of a pixel using gradient descent.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julian Meng and Michael Davenport "Building assessment with subpixel accuracy using satellite imagery", Proc. SPIE 2656, Visual Data Exploration and Analysis III, (8 March 1996); https://doi.org/10.1117/12.234692
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Edge detection

Point spread functions

Image analysis

Satellites

Satellite imaging

Earth observing sensors

Image resolution

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