Rapid Monitoring of Japan Earthquake-triggered Tsunami Disaster Based on a Fusion of Multiple Features Derived from HJ Small Satellite Images
DU Peijun1,2, LIU Sicong2, TAN Kun2
1. Department of Geographical Information Science, Nanjing University, Nanjing 210093, China;2. Key Laboratory for Land Environment and Disaster Monitoring, State Bureau of Surveying and Mapping of China, China University of Mining and Technology, Xuzhou 221116, Jiangsu Province, China
Abstract：The huge tsunami triggered by an earthquake of magnitude 9.0 on March 11, 2011 hit the east coast of Honshu, Japan, and caused serious social and economic losses. According to the characteristics of earthquake and tsunami disaster and the requirements of damage monitoring, a rapid disaster development detection process based on a decision level fusion of multiple features is designed. In this approach, each feature extracted from the original remote sensing images, including NDVI, NDWI, components of the principal component analysis and the independent component analysis, is used to derive a specific change map, and different change maps are then integrated by a decision level fusion algorithm to generate a synthetic change map with a higher reliability, which can be used for the damage assessment. Multi-temporal HJ-1A/B (environment and disaster monitoring and forecasting of small satellite constellation) images are processed by the proposed approach and used for detecting the devastated areas in east coast of Japan before and after tsunami. The experimental results confirm the feasibility and effectiveness of the proposed approach, and demonstrate the advantages of HJ-1A/B remote sensing data. This unsupervised change detection process can identify the tsunami-devastated regions quickly and efficiently, and provide the technical and decision support for the disaster emergency response and loss evaluation.
杜培军;柳思聪;谭琨. 国产HJ小卫星遥感影像多特征融合用于日本海啸灾情快速监测[J]. , 2012, 30(4): 31-36.
DU Peijun;LIU Sicong;TAN Kun. Rapid Monitoring of Japan Earthquake-triggered Tsunami Disaster Based on a Fusion of Multiple Features Derived from HJ Small Satellite Images. , 2012, 30(4): 31-36.