Cloud Tracking Using Ordinal Measures and Relaxation Labelling
نویسنده
چکیده
Ordinal measures, based on the relative order of intensity values within window, provide a robust method for finding correspondences between non-ideal images. However, for medium sized windows their discriminatory power is low. To overcome this problem, they can be applied within a correlation-relaxation labelling framework. The advantages of this approach are demonstrated in application to cloud tracking in a sequence of Meteosat infrared images.
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