Abstract
Instead of deploying direct sea-state monitoring systems, the authors propose a method for indirect measurement of sea-state condition using information obtained by satellite remote sensing.Using remotely sensed visible (VIS) and infrared (IR) images from “GMS” (Geostationary Meteorological Satellite), cloud-systems are extracted. Considering that two main cloud-systems, the Stratus (St) and Cumulus (Cu), are closely related to the height, thickness, edge-slope and complexity of cloud-system, they develop a method to discriminate these two cloud-systems.The area of cloud-system is obtained by determining threshold brightness temperature using VIS and IR images. The height, thickness and edge-slope are analyzed using the temperature and picture element. The complexity of fringe of cloud-system is analyzed by introducing the fractal dimension. The fuzzy integral method with fuzzy measures is applied for the discrimination of cloud-systems.They show that the proposed method is quite useful to discriminate cloud-systems, because that it can indicate the possibility of Stratus and Cumulus for each cloud-system.
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