Shadow Pattern-Enhanced Building Height Extraction Using Very-High-Resolution Image

Building height is valuable for a variety of foci in urban studies. The traditional field investigations are not practical for the updates of massive building height in a large-scale urban area. Given the relationship between building structures and their shadow sizes, the building shadow becomes pr...

Full description

Saved in:
Bibliographic Details
Published in:IEEE journal of selected topics in applied earth observations and remote sensing 2023, Vol.16, p.180-190
Main Authors: Zhou, Xiran, Myint, Soe W.
Format: Article
Language:English
Subjects:
Azimuth
Building height estimation
Buildings
convolutional neural networks
Earth
Estimation
Field investigations
Field tests
Height
High resolution
Image enhancement
Image resolution
Internet
remote sensing image
Resolution
shadow extraction
shadow pattern
Shadows
Shape
Sun
Urban areas
Urban studies
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Building height is valuable for a variety of foci in urban studies. The traditional field investigations are not practical for the updates of massive building height in a large-scale urban area. Given the relationship between building structures and their shadow sizes, the building shadow becomes practical for estimating its corresponding building height when its geometrical shape is visible in newly emerging very-high-resolution (VHR) images. However, the shadow shape of different buildings might vary significantly, posing a great challenge to determining the edge of shadow useful for predicting building height. This study proposes a shadow pattern classification system ( ShadowClass ) to summarize the varied shadow shapes into a number of pattern categories and employ a cutting-edge CNN model to classify the extracted shadows into a pattern for automatically determining the edge of a building shadow being useful for building height estimation. We integrated the proposed approach into two branches of the state-of-the-art approaches: shadow-based building height estimation with open cyberinfrastructure and shadow-based building height estimation with VHR image. The experimental results proved that the proposed method could be a practical solution for single and isolated buildings that have their complete shadow shape.
ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2022.3221146