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In atmospheric remote sensing science, the cloud detection is an essential basis for the inversion of the parameters in atmosphere such as temperature, humidity, sea surface temperature etc. At present, the main cloud detection technologies can be divided to two categories, the method based on the different spectral characteristics of clear and cloudy area and the method based texture features of...
Human analysts are often unable to meet time constraints on analysis and interpretation of large volumes of remotely sensed imagery. To address this problem, the Image Content Engine (ICE) system currently under development is organized into an off-line component for automated extraction of image features followed by user-interactive components for content detection and content-based query processing...
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