Cloud-Type Classification by Two-Layered Fuzzy Logic
نویسنده
چکیده
Cloud detection and analysis from satellite images has been a topic of research in many atmospheric and environmental studies; however, it still is a challenging task for many reasons. In this paper, we propose a new method for cloud-type classification using fuzzy logic. Knowing that visible-light images of clouds contain thickness related information, while infrared images haves height-related information, we propose a two-layered fuzzy logic based on the input source to provide us with a relatively clear-cut threshold in classification. Traditional noise-removal methods that use reflection/release characteristics of infrared images often produce false positive cloud areas, such as fog thereby it negatively affecting the classification accuracy. In this study, we used the color information from source images to extract the region of interest while avoiding false positives. The structure of fuzzy inference was also changed, because we utilized three types of source images: visible-light, infrared, and near-infrared images. When a cloud appears in both the visible-light image and the infrared image, the fuzzy membership function has a different form. Therefore we designed two sets of fuzzy inference rules and related classification rules. In our experiment, the proposed method was verified to be efficient and more accurate than the previous fuzzy logic attempt that used infrared image features.
منابع مشابه
Effect of Fuzzy Boundaries on the Bearing Capacity of Footings on Two-Layered Clay
In this study, fuzzy logic was implemented to formulate the fuzziness of layer boundaries for a two-layered clay soil. A field of two-layered clay with fuzzy boundaries between layers was generated, and then the bearing capacity of strip footing on this field was calculated by the assumption of plane-strain conditions. The Mohr-Coulomb failure criterion was used and bearing capacity calculation...
متن کاملFRA-PSO: A two-stage Resource Allocation Algorithm in Cloud Computing
Cloud computing gives a large quantity of processing possibilities and heterogeneous resources, meeting the prerequisites of numerous applications at diverse levels. Therefore, resource allocation is vital in cloud computing. Resource allocation is a technique that resources such as CPU, RAM, and disk in cloud data centers are divided among cloud users. The resource utilization, cloud service p...
متن کاملA Near Optimal Approach in Choosing The Appropriate Physical Machines for Live Virtual Machines Migration in Cloud Computing
Migration of Virtual Machine (VM) is a critical challenge in cloud computing. The process to move VMs or applications from one Physical Machine (PM) to another is known as VM migration. In VM migration several issues should be considered. One of the major issues in VM migration problem is selecting an appropriate PM as a destination for a migrating VM. To face this issue, several approaches are...
متن کاملTwo Layered Fuzzy Logic Control for Dc Motor Speed Control and Performance Improvements
This paper investigates an application of the fuzzy logic technique for designing the speed control of a DC motor system to damp the oscillations due to different load disturbances. The Direct Current (DC) motor with conventional Proportional Integral (PI) speed controller is evaluation. This can be easily implemented and are found to be highly effective if the load changes are small. The propo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Int. J. Fuzzy Logic and Intelligent Systems
دوره 13 شماره
صفحات -
تاریخ انتشار 2013