Segmentation and statistical analysis of ground-based infrared cloudy sky images

Shimshon N. Lashansky; Nissim Ben-Yosef; Amotz Weitz

doi:10.1117/12.56148

1 May 1992 Segmentation and statistical analysis of ground-based infrared cloudy sky images

Shimshon N. Lashansky, Nissim Ben-Yosef, Amotz Weitz

Author Affiliations +

Optical Engineering, Vol. 31, Issue 5, (May 1992). https://doi.org/10.1117/12.56148

Abstract

The statistical behavior of ground-based IR cloudy sky images are analyzed to acquire a priori knowledge of the background necessary for the development of sophisticated infrared target detection and recognition systems. Infrared cloudy sky images can be automatically segmented into their related groups of interest, according to the radiance statistical distribution, by implementing specialized image processing techniques. Once the images have been segmented, the cloud cover, statistical distribution, and other parameters of interest are readily obtained. It was found that, in the 8- to 1 2-μm spectral window, cloudy sky images must be divided into at least five regions of interest, and in the 3- to 5-μm spectral window, a distinction must be made between shaded cloud images and sunlit cloud images. Shaded cloud images have only three regions of interest, whereas sunlit cloud images are more complex and have at least five regions of interest. If each region is approximated by a Gaussian distribution, then the normalized cross-correlation function ofthe measured data with the multinormal function gives a value in excess of 0.9.

Citation Download Citation

Shimshon N. Lashansky, Nissim Ben-Yosef, and Amotz Weitz "Segmentation and statistical analysis of ground-based infrared cloudy sky images," Optical Engineering 31(5), (1 May 1992). https://doi.org/10.1117/12.56148

Published: 1 May 1992

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available