Paper Info
Title
A multiple view stereo benchmark for satellite imagery
Abstract
The availability of public multiple view stereo benchmark datasets has been instrumental in enabling research to advance the state of the art in the field and to apply and customize methods to real-world problems. Until now, no public multiple view stereo benchmark dataset has been available for satellite imaging applications. In this work, we describe a public benchmark dataset for multiple view stereo applied to three-dimensional outdoor scene mapping using commercial satellite imagery. This dataset includes fifty Digital Globe WorldView-3 panchromatic and multispectral images of a 100 square kilometer area near San Fernando, Argentina. We also provide high-resolution airborne lidar ground truth data for a 20 square kilometer subset of this area and performance analysis software to assess accuracy and completeness metrics. We report initial results from available solutions using this benchmark data and encourage continued research by making this benchmark dataset publicly available to the research community.
Year
DOI
Venue
2016
10.1109/AIPR.2016.8010543
2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
Keywords
Field
DocType
public multiple view stereo benchmark datasets,commercial satellite imagery,satellite imaging applications,three-dimensional outdoor scene mapping,Digital Globe WorldView-3 panchromatic images,Digital Globe WorldView-3 multispectral images,San Fernando,Argentina,high-resolution airborne lidar ground truth data,performance analysis software
Computer vision,Satellite,Satellite imagery,Panchromatic film,Computer science,Multispectral image,Ground truth,Lidar,Artificial intelligence,Solid modeling,Benchmark (computing)
Conference
ISBN
Citations 
PageRank 
978-1-5090-3285-3
3
0.45
References 
Authors
9
4
Name
Order
Citations
PageRank
Marc Bosch11348.90
Zachary Kurtz230.45
Shea Hagstrom331.80
Myron Z. Brown444922.43