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16 September 1987 Correcting Atmospheric Effects In Multispectral Images
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Abstract
In computer vision systems images are the primary inputs. In order to develop a robust vision system one needs to derive a correlation between the intensity values recorded in the images and the surface properties of various objects appearing in the scene. Image intensity values recorded in various spectral bands of a sensor are produced as a final result of a complex matter-energy interaction mechanism governing the illuminating source, the scene, the sensor and the intervening medium. In passive multispectral aerial images the illuminating source is the sun and the atmospheric column appears as the intervening medium between the sun and the scene for the incident beam and between the scene and the sensor for the reflected or emitted beam. In this paper an approach for compensating for the atmospheric transmitance and path radiance effects applicable for the reflective optical wavelengths is developed. It utilizes the LOWTRAN-6 package for calculating the required correction parameters. Applicability of this approach is demonstrated by correcting high resolution multispectral images.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohan M. Trivedi, Shi-Chun Zhou, and Mark L. Farley "Correcting Atmospheric Effects In Multispectral Images", Proc. SPIE 0781, Infrared Image Processing and Enhancement, (16 September 1987); https://doi.org/10.1117/12.940543
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