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Remote Sens. 2017, 9(6), 625; doi:10.3390/rs9060625

A New Approach to Performing Bundle Adjustment for Time Series UAV Images 3D Building Change Detection

1
School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
3
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Gloaguen and Prasad S. Thenkabail
Received: 22 March 2017 / Revised: 14 June 2017 / Accepted: 16 June 2017 / Published: 17 June 2017
View Full-Text   |   Download PDF [1294 KB, uploaded 19 June 2017]   |  

Abstract

Successful change detection in multi-temporal images relies on high spatial co-registration accuracy. However, co-registration accuracy alone cannot meet the needs of change detection when using several ground control points to separately geo-reference multi-temporal images from unmanned aerial vehicles (UAVs). This letter reports on a new approach to perform bundle adjustment—named united bundle adjustment (UBA)—to solve this co-registration problem for change detection in multi-temporal UAV images. In UBA, multi-temporal UAV images are matched with each other to construct a unified tie point net. One single bundle adjustment process is performed on the unified tie point net, placing every image into the same coordinate system and thus automatically accomplishing spatial co-registration. We then perform change detection using both orthophotos and three-dimensional height information derived from dense image matching techniques. Experimental results show that UBA co-registration accuracy is higher than the accuracy of commonly-used approaches for multi-temporal UAV images. Our proposed preprocessing method extends the capacities of consumer-level UAVs so they can eventually meet the growing need for automatic building change detection and dynamic monitoring using only RGB band images. View Full-Text
Keywords: united bundle adjustment (UBA); UAV images; three dimension; change detection united bundle adjustment (UBA); UAV images; three dimension; change detection
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Li, W.; Sun, K.; Li, D.; Bai, T.; Sui, H. A New Approach to Performing Bundle Adjustment for Time Series UAV Images 3D Building Change Detection. Remote Sens. 2017, 9, 625.

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