지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.13 No.1
- 발행연도
- 2013.3
- 수록면
- 63 - 68 (6page)
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초록· 키워드
오류제보하기
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.
목차
Abstract
1. Introduction
2. Extraction of Cloud Area
3. Cloud Type Classification by Fuzzy Logic
4. Experiment Results
5. Conclusion
References
참고문헌 (13)
참고문헌 신청
1. [인터넷자원] - / / Korean Meteorological Administration, Available
2. [학술지(정기간행물)] - J. Calbom / 2008 / Feature extraction from whole-sky ground-based images for cloud-type recognition / Journal of Atmospheric and Oceanic Technology 25 (1) : 3 ~ 14
3. [단행본] - A. Kandel / 1994 / Fuzzy Control Systems / CRC Press
4. [학술지(정기간행물)] - L. Jun / 2003 / High-spatial-resolution surface and cloud-type classification from MODIS multispectral band measurements / Journal of Applied Meteorology and Climatology 42 (2) : 204 ~ 226
5. [학술지(정기간행물)] - R. L. Bankert / 2007 / Optimization of an instance-based goes cloud classification algorithm / Journal of Applied Meteorology and Climatology 46 (1) : 36 ~ 49
2. [학술지(정기간행물)] - J. Calbom / 2008 / Feature extraction from whole-sky ground-based images for cloud-type recognition / Journal of Atmospheric and Oceanic Technology 25 (1) : 3 ~ 14
3. [단행본] - A. Kandel / 1994 / Fuzzy Control Systems / CRC Press
4. [학술지(정기간행물)] - L. Jun / 2003 / High-spatial-resolution surface and cloud-type classification from MODIS multispectral band measurements / Journal of Applied Meteorology and Climatology 42 (2) : 204 ~ 226
5. [학술지(정기간행물)] - R. L. Bankert / 2007 / Optimization of an instance-based goes cloud classification algorithm / Journal of Applied Meteorology and Climatology 46 (1) : 36 ~ 49
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UCI(KEPA) : I410-ECN-0101-2014-020-002591710