지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2019.10
- 수록면
- 1,311 - 1,315 (5page)
이용수
초록· 키워드
오류제보하기
There are many natural disasters and many people suffer from them every year. One of them, the landslide, is difficult to predict, since the predictive phenomenon has not been clarified, although the topography and stratum that are likely to cause landslides are roughly expected. In this study, we propose a method of predicting the occurrence of landslide by taking the video of the slope and using the optical flow measurement to obtain the sliding velocity of the slope. We used spatio-temporal differentiation method as an optical flow measurement method, which is suitable to measure small displacements. However, various weather conditions such as wind can affect accurate velocity vectors. In this research, we reduce the influence of weather conditions and explore the possibility of predicting the occurrence of landslide. It is expected to monitor a wide range of mountain slopes to predict the occurrence regardless of the weather.
목차
Abstract
1. INTRODUCTION
2. HOW TO IMPLEMENT PREDICTION OF LANDSLIDE
3. THEORY AND METHOD
4. EXPERIMENT AND RESULTS
5. CONCLUDING REMARK
REFERENCES
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