Spatial Interaction Filters for Monitoring Harmful Algae Blooms
نویسندگان
چکیده
In this paper, the authors use Spatial Interaction Filters (SIF) to simulate human experts’ visual process in tracking spatial interactive objects. The algorithm includes spatial density based pixel clustering and object interaction descriptions, such as Contact Area Index (CAI) and correlation filter. The algorithm is designed to automatically track the Harmful Algae Bloom (HAB) targets. In the case studies, SIF performs well in tracking coherent objects. However, it appears to be weak in tracking the object that breaks into pieces. A comparison between the correlation filter and the particle filter is also presented.
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