Paper Info
Title
Fusion of WorldView-2 Stereo and Multitemporal TerraSAR-X Images for Building Height Extraction in Urban Areas
Abstract
We investigated the joint use of the high-resolution WorldView-2 optical satellite images and the multitemporal TerraSAR-X synthetic aperture radar (SAR) satellite images to extract building height information in high-density urban areas. The main idea of the proposed fusion approach is to take full advantage of both data sets in building height retrieval. The proposed approach includes two main stages. First, initial building height estimates are extracted from WorldView-2 stereo images and multitemporal SAR images. These initial results are then combined using a novel object-based fusion approach, in which the heights of points for the same building footprint are retrieved and integrated. Experiments on the Mong Kok area of Hong Kong showed that the proposed approach using both data sets outperforms the use of either stereo images or SAR images alone. According to the results of the proposed approach, the average absolute height retrieval error is 6.53 m, which is much lower than using stereo and SAR images (9.08 and 12.24 m, respectively). The proposed fusion approach is suitable for building height retrieval in urban areas where single satellite data have limitations.
Year
DOI
Venue
2015
10.1109/LGRS.2015.2427738
Geoscience and Remote Sensing Letters, IEEE
Keywords
Field
DocType
building height,worldview-2,object-based fusion,synthetic aperture radar (sar),remote sensing,optical imaging,laser radar,synthetic aperture radar
Computer vision,Data set,Radar imaging,Satellite,Interferometric synthetic aperture radar,Synthetic aperture radar,Remote sensing,Inverse synthetic aperture radar,Lidar,Footprint,Artificial intelligence,Mathematics
Journal
Volume
Issue
ISSN
12
8
1545-598X
Citations 
PageRank 
References 
2
0.43
16
Authors
4
Name
Order
Citations
PageRank
Yong Xu193.15
Peifeng Ma2122.36
Edward Ng320.43
Hui Lin445964.06