DocumentCode :
1994328
Title :
Fast Stereo Aerial Image Construction and Measurement for Emergency Rescue
Author :
Dong, N. ; Ren, Xuemei ; Sun, M. ; Jiang, Chao ; Zheng, Haomian
Author_Institution :
Inst. of RS&GIS, Peking Univ., Beijing, China
fYear :
2013
fDate :
9-11 Oct. 2013
Firstpage :
119
Lastpage :
123
Abstract :
In the field of UAV information processing and aerial image processing technology, data collected from MUAV platform is more and more widely used in emergency rescues. The traditional way of aerial photogrammetry, which has a limited accuracy in aerial camera locations from the UAV, makes measurements of the object location on pairwise images inaccurate. A method is presented in this paper to fast construct the stereo aerial image using high-precision GPS and INS data. It also allows users to do correct measurements based on aerial images as the high-frequency DGPS promoting the accuracy and reliability of aerial camera locations. The main steps to construct a stereo aerial image are: 1) image acquisition and overlap calculation, making a route planning for the flight based on the height of the MUAV and the objects types in the flight area to get image sequences with adequate overlap.2) Fast stitching of aerial images: We used high-precision GPS and INS data to pre-align images roughly which would make the matching process much faster and then stitch the images with matched feature points.3) Stereo aerial image synthesis, two mosaic images over the same flight area are synthesized. We adjust the parallax of the synthesized image to a scale properly fitting the human eyes to make it more dynamic. Due to a stable low-altitude flying of the MUAV as well as the high density position and attitude data acquired, it would enable us to measure objects in the stereo image with a longer baseline. In order to verify the practicability and the measurement accuracy of this method, an experiment was done along the Kelan River in Xinjiang. We obtained high-resolution images and accurate camera locations with the MUAV platform. Afterwards, a stereo aerial image was quickly constructed and measurements were taken by improved aerial photogrammetry to get detail information of the image. In the accuracy analysis of the measurements results, it demonstrated fine efficiency and a good - ccuracy of the method.
Keywords :
Global Positioning System; autonomous aerial vehicles; emergency management; image matching; image resolution; image sensors; mobile robots; object detection; robot vision; stereo image processing; telerobotics; GPS data; INS data; Kelan River; MUAV platform; UAV information processing; Xinjiang; aerial camera locations; aerial image processing technology; aerial photogrammetry; attitude data; camera locations; emergency rescue; fast stereo aerial image construction; fast stereo aerial image measurement; feature point matching; image acquisition; image matching process; image mosaicing; image resolution; image sequences; image stitching; object location; route planning; stereo aerial image synthesis; Accuracy; Area measurement; Cameras; Coordinate measuring machines; Data acquisition; Global Positioning System; Remote sensing; MUAV; Measurement; Mosaic; Stereo image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geo-Information Technologies for Natural Disaster Management (GiT4NDM), 2013 Fifth International Conference on
Conference_Location :
Mississauga, ON
Print_ISBN :
978-1-4799-2268-0
Type :
conf
DOI :
10.1109/GIT4NDM.2013.16
Filename :
6937489
Link To Document :
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