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This paper develops a novel oil spill detection approach by using the multitemporal optical remote sensing images. Differently from the traditional oil spill detection methods that mainly carried out on a monotemporal image, the proposed approach opens a new perspective to solve the considered oil spill detection problem in a multitemporal domain by investigating the potential capability of change...
Natural disasters or human activities, such as forest fire, flood, and deforestation, may lead to anomaly or disturbance of land cover. Continuous detection of anomalies is important for studying spatial-temporal processes of land cover changes. Although many time-series-analysis methods have been developed for change detection, to the best of our knowledge, few methods focus on continuously detecting...
Monitoring the dynamics of surface water using remote sensing technology is an essential research topic in many research areas. Change vector analysis (CVA) is a change detection method by constructing a vector of change based on multi-temporal images. It has been widely applied in land use and land cover change detection. Considering the specialty of surface water's spectral characteristics, it is...
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