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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...
Change Vector Analysis (CVA) is an important change detection method for remote sensing imagery with medium and low resolution. Traditional CVA is a pixel-based method, which is insufficient for high-resolution (HR) imagery. An object-oriented change vector analysis method (OCVA) is proposed in the paper. Image segmentation method was used to get image objects. The object histogtam was extracted as...
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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