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Building assessment with subpixel accuracy using satellite imagery
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.
Building assessment with subpixel accuracy using satellite imagery
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.
Building assessment with subpixel accuracy using satellite imagery
Meng, Julian (author) / Davenport, Michael (author)
Visual Data Exploration and Analysis III ; 1996 ; San Jose,CA,United States
Proc. SPIE ; 2656
1996-03-08
Conference paper
Electronic Resource
English
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