Automated Haze Removal and Radiometric Normalization for Electro-Optical Imagery Preprocessing
نویسندگان
چکیده
منابع مشابه
Automatic radiometric normalization of multitemporal satellite imagery
The linear scale invariance of the multivariate alteration detection (MAD) transformation is used to obtain invariant pixels for automatic relative radiometric normalization of time series of multispectral data. Normalization by means of ordinary least squares regression method is compared with normalization using orthogonal regression. The procedure is applied to Landsat TM images over Nevada,...
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Optical satellite imagery is often contaminated by the persistent presence of clouds and atmospheric haze. Without an effective method for removing this contamination, most optical remote sensing applications are less reliable. In this research, a methodology has been developed to fully automate and improve the Haze Optimized Transformation (HOT)-based haze removal. The method is referred to as...
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Ever-present spatial varying haze contamination in satellite scenes limits applications using visible and near infrared bands of low temporal resolution multispectral satellite imageries. A relative atmospheric correction technique: virtual cloud point (VCP) based on advanced haze optimized transformation (AHOT) is developed for haze removal. It is an improved algorithm of the previous dark obj...
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ژورنال
عنوان ژورنال: Advanced Engineering Forum
سال: 2012
ISSN: 2234-991X
DOI: 10.4028/www.scientific.net/aef.6-7.391