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Remote Sens. 2014, 6(7), 6500-6523; doi:10.3390/rs6076500

Moving Vehicle Information Extraction from Single-Pass WorldView-2 Imagery Based on ERGAS-SNS Analysis

1,2
,
1,2
,
1,2,3,* and 1,2
1
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China
2
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China
3
Department of Geodesy and Geomatics Engineering, University of New Brunswick, 15 Dineen Drive, P.O. Box 4400, Fredericton, NB E3B 5A3, Canada
*
Author to whom correspondence should be addressed.
Received: 22 April 2014 / Revised: 24 June 2014 / Accepted: 25 June 2014 / Published: 16 July 2014

Abstract

Due to the fact that WorldView-2 (WV2) has a small time lag while acquiring images from panchromatic (PAN) and two multispectral (MS1 and MS2) sensors, a moving vehicle is located at different positions in three image bands. Consequently, such displacement can be utilized to identify moving vehicles, and vehicle information, such as speed and direction can be estimated. In this paper, we focus on moving vehicle detection according to the displacement information and present a novel processing chain. The vehicle locations are extracted by an improved morphological detector based on the vehicle’s shape properties. To make better use of the time lag between MS1 and MS2, a band selection process is performed by both visual inspection and quantitative analysis. Moreover, three spectral-neighbor band pairs, which have a major contribution to vehicle identification, are selected. In addition, we improve the spatial and spectral analysis method by incorporating local ERGAS index analysis (ERGAS-SNS) to identify moving vehicles. The experimental results on WV2 images showed that the correctness, completeness and quality rates of the proposed method were about 94%, 91% and 86%, respectively. Thus, the proposed method has good performance for moving vehicle detection and information extraction. View Full-Text
Keywords: moving vehicle extraction; WorldView-2; morphological detector; ERGAS-SNS; traffic monitor moving vehicle extraction; WorldView-2; morphological detector; ERGAS-SNS; traffic monitor
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Gao, F.; Li, B.; Xu, Q.; Zhong, C. Moving Vehicle Information Extraction from Single-Pass WorldView-2 Imagery Based on ERGAS-SNS Analysis. Remote Sens. 2014, 6, 6500-6523.

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