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- W2544203512 abstract "To extract GIS features from high spatial resolution imagery is an important task in remote sensing applications. However, traditional pixel-based classification methods, which were developed in the era of 10-100 m ground pixel size imagery, cannot exploit the advantages of new images provided by IKONOS and QuickBird. To successfully extract various land covers from high resolution imagery, a Target-Clustering Fusion (TCF) system is presented in this work. Compared to the conventional classification methods that typically produce more salt-and-pepper-like results, the proposed TCF system can preserve detailed spatial information on each classified target related to its neighbors." @default.
- W2544203512 created "2016-11-04" @default.
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- W2544203512 date "2004-07-09" @default.
- W2544203512 modified "2023-09-23" @default.
- W2544203512 title "A target fusion-based approach for classifying high spatial resolution imagery" @default.
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- W2544203512 doi "https://doi.org/10.1109/warsd.2003.1295190" @default.
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