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- W2042118361 abstract "Shape is an important visual feature of very high-resolution satellite data. Fourier Descriptor (FDs) was introduced in this paper as a new method to extract and represent objects' shape features of IKONOS imagery and a 5-dimensional (5- D) feature-vector was proposed as a shape parameter. A classification model was established based on K-means clustering algorithm, the 5-D feature-vector was taken as discrimination variable together with the mean gray values. The results showed that when involving the shape feature-vector into the classification model, the overall classification accuracy was 82.4% with 84.6% producer accuracy of roads. So it was confirmed a feasible way to represent shape features of remotely sensed imagery based on FDs." @default.
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- W2042118361 date "2009-09-26" @default.
- W2042118361 modified "2023-09-28" @default.
- W2042118361 title "A new method of extracting shape features from IKONOS imagery based on Fourier Descriptor: an application to object-oriented classification" @default.
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- W2042118361 doi "https://doi.org/10.1117/12.872947" @default.
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