Paper
26 October 2013 Detection and velocity measurement on high-speed moving object based on single satellite multispectral image
Author Affiliations +
Proceedings Volume 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis; 89170J (2013) https://doi.org/10.1117/12.2031485
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Abstract
It is very difficult to detect a moving object then estimate its speed with optical remote sensing images. In this paper, we propose a novel method that moving object detection and velocity measurement using only single multispectral image. Slight chromatic aberration among channels of the multispectral image is applied to detect the motional object by fames difference, and improve the accuracy of velocity measurement using pixel unmixing. Finally, experiments are carried out on satellite multispectral images from Google Earth and clearly show the comparative effectiveness of the proposed method with respect to traditional methods.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunyu Shi and Qiang Zhou "Detection and velocity measurement on high-speed moving object based on single satellite multispectral image", Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170J (26 October 2013); https://doi.org/10.1117/12.2031485
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Cited by 1 scholarly publication.
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KEYWORDS
Multispectral imaging

Velocity measurements

Satellites

Earth observing sensors

Satellite imaging

Chromatic aberrations

Edge detection

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