Paper
5 March 2008 Autofocusing technique based on image processing for remote-sensing camera
Xin Wang, Rong-chun Sun, Shu-yan Xu
Author Affiliations +
Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 66230F (2008) https://doi.org/10.1117/12.791279
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China
Abstract
The key to the auto-focusing technique based on image processing is the selection of focus measure reflecting image definition. Usually the measures derived are on the premise of the images acquired with the same scene. As for the remote-sensing camera working in linear CCD push-broom imaging mode, the premise doesn't exist because the scenes shot are different at any moment, which brings about difficulties to the selection of the focus measure. To evaluate the image definition, the focus measure based on blur estimation for rough adjustment is proposed to estimate the focused position by only two different lens positions, which greatly saves the auto-focusing time. Another evaluation function based on edge sharpness is developed to find best imaging position in the narrow range. Simulations show that the combination of the two measures has the advantages of rapid reaction and high accuracy.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin Wang, Rong-chun Sun, and Shu-yan Xu "Autofocusing technique based on image processing for remote-sensing camera", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230F (5 March 2008); https://doi.org/10.1117/12.791279
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Remote sensing

Image processing

Signal to noise ratio

Cameras

Image resolution

Point spread functions

Image quality

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