Paper
26 March 2001 Detection of atmospheric conditions in images
Author Affiliations +
Abstract
Applications such as Unmanned Air or Land Vehicles (UAVs) depend on good quality image data to assist in navigation and other tasks or decisions. In the real world environments, atmospheric conditions can lead to degradation of images and the occlusion or distortion of objects of interest in images. This work will look at techniques that can be used to both determine the type and amount of atmospheric conditions present in image data. This information could then be used by our previously developed system to assist in the reduction of atmospheric effects.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lynne L. Grewe "Detection of atmospheric conditions in images", Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); https://doi.org/10.1117/12.421213
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KEYWORDS
Neural networks

Fiber optic gyroscopes

Atmospheric sensing

Feature extraction

Wavelets

Atmospheric corrections

Image processing

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