Chitsobhuk, Orachat

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Chitsobhuk, Orachat
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orachat.ch@kmitl.ac.th

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    Item type:Publication,
    Storm eye identification using fuzzy inference system
    (2016-08-01)
    Warunsin, Kulwarun
    ;
    Chitsobhuk, Orachat
    In this paper, a study of the novel technique based on Fuzzy Inference System (FIS) for storm eye identification has been presented. The ocean wind vectors are provided by the NASA QuikSCAT satellite to predict the significance of tropical cyclogenesis. This database is slightly noisy, incomplete and indirect. For this reason, the cloud satellite image can be an alternative option. However, the cloud shape may be ambiguous, which can introduce a long search time. As a result, utilizing combined information from both resources can lead to a reduction in resource deficiency. The FIS is used to describe the uncertain behavior of the complex system consisting of several factors. It provides ability to model the dynamic behavior of the storm and designates the best candidate eye position in the region of interest. Then, the spiral cloud model is adopted to enhance the search results in order to achieve the accurate eye position. The experimental results are conducted based on six reference storms. The proposed system offers higher flexibility in analyzing the storm eye position with the minimum average distance error of 92.8 km and approximately 16.25% less average distance error compared to the reference. This demonstrates the significant performance improvement in detecting the eye location of the storm.
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    Automatic typhoon eye identification using QuikSCAT data and spiral cloud image
    (2014-12-16)
    Warunsin, Kulwarun
    ;
    Chitsobhuk, Orachat
    This paper presents an automatic typhoon eye identification using combined features from QuikSCAT satellite and spiral cloud image. Using only cloud information may lead to excessive time to achieve the search solution if encountering ambiguous cloud shape. Therefore, QuikSCAT wind information is used to estimate the candidate region of interest (ROI) and eye location in order to restrain searching range of spiral cloud. The candidate eye location is further expanded to search for the best eye location using the spiral curve model (SCM). The experimental results demonstrate significant improvement in the eye location identification with approximately 60.5% reduction in distance error compared to the three references.
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    Heuristic search on statistics of wind data and cloud images for automatic typhoon eye location
    (2015-02-27)
    Warunsin, Kulwarun
    ;
    Chitsobhuk, Orachat
    Identifying typhoon eye location is quite a challenging task since several factors are needed to be evaluated. With deficient information from a single resource, it may lead to disappointed results. The wind information from satellite provides great ability in tropical cyclone intensity estimation, however, lacking in sufficient data to be analyzed in the blank swaths area due to its non-overlapped orbit. Moreover, it is sometimes noisy, incomplete and indirect. In addition to satellite information, the cloud image is an alternative choice. However, the uncertain cloud shape can result in undesirable excessive search time. In order to improve the detection efficiency, a novel heuristic search is proposed to automatically detect the typhoon eye location using the statistics of wind parameters from QuikSCAT satellite and spiral cloud images. The heuristic search is employed to find the best candidate eye location in the region of interest (ROI) obtained from QuikSCAT wind information. This offers great ability to restrain searching range of spiral cloud detection. The candidate eye location is further expanded in order to search for the best eye location using the SCM. The proposed technique can achieve approximately 64.4 % decrease in distance error compared to the three references. This can demonstrate significant enhancement in detecting the location of the typhoon eye.