General algorithm for stray light measurements of remote sensing imagery

Mark A. Goforth

doi:10.1117/12.692870

7 September 2006 General algorithm for stray light measurements of remote sensing imagery

Mark A. Goforth

Proceedings Volume 6291, Optical Systems Degradation, Contamination, and Stray Light: Effects, Measurements, and Control II; 62910Y (2006) https://doi.org/10.1117/12.692870
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

Stray light in an imaging system can be unpredictable and may not originate directly from the field of view of the imaged pixel. Depending on the severity of the stray light, this can adversely affect the quality of remote sensing imagery and be difficult to correct. A significant amount of stray light can be visually noticeable and even distracting to the image analyst. Complicating the matter, stray light that originates from outside the field of view can be highly unpredictable and variable across the image, adversely affecting the results of image processing algorithms developed for automated processing. A new algorithm has been developed in an attempt to estimate the amount of stray light in each remote sensing image. The stray light algorithm estimates an average and maximum amount of stray light for each image, and can output an estimated stray light map. The algorithm can be run in an automated batch processing mode for operational monitoring where the results are placed into a database along with other image quality trending factors. This paper presents results of testing the algorithm on simulated and commercial panchromatic and multispectral imagery.

Citation Download Citation

Mark A. Goforth "General algorithm for stray light measurements of remote sensing imagery", Proc. SPIE 6291, Optical Systems Degradation, Contamination, and Stray Light: Effects, Measurements, and Control II, 62910Y (7 September 2006); https://doi.org/10.1117/12.692870

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KEYWORDS

Stray light

Earth observing sensors

High resolution satellite images

Staring arrays

Sensors

Optical testing

Algorithm development

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