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It is important to build entity modeling which it exists in the outdoor environment with human activities in the nature increasingly. Outdoor entity can be divided into structured, semi-structured and unstructured. This paper uses expanding 2.5D method to model semi-structured entity which it is very representative. The semi-structured entity can be divided into simple standard sample, complex standard...
This paper presents a class of iterative reconstruction algorithms based on Amari's α-divergence, which is parameterized by α, for positron emission tomography. We use the α-divergence to model the discrepancy between projections and estimates. Then a multiplicative update rule is developed to minimize it. Instead of directly optimizing the model, we solve the corresponding Kuhn-Tucker conditions...
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