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Motion based unshar...
Motion based unsharp masking [MUSM] for extracting building from urban images
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Mirhassani, S. M. (författare)
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Yousefi, B. (författare)
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Ahmadyfard, A. (författare)
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- Bahadorian, Mitra (författare)
- KTH,Skolan för elektro- och systemteknik (EES)
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(creator_code:org_t)
- 2008
- 2008
- Engelska.
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Serie: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 1062-922X
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In recent decades, classification of remote sensing images from urban area as a means to achieve necessitated information for some applications such as automatic map updating and GIS, planning and emergency response has become one of the challenging subjects for image processing researches. In this paper, a method for classification of remote sensing image from urban area is addressed. First, motion based unsharp masking [MUSM] is applied to the input image to enhance its high frequency components. Then, laplacian of image as input feature for the Bayesian classifier is utilized. After that, size filter is used for large and small building discrimination. The Classification of small and large building using unsharp mask and Bayesian discrimination function has increased in aspect of accuracy in comparison with original Bayesian method for Classification of urban area. Experiments justify the efficiency of the proposed approach.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- Building extraction
- Classification
- IKONOS images
- Motion based unsharp masking
- Remote sensing image
- Bayesian networks
- Control theory
- Cybernetics
- Image reconstruction
- Regional planning
- Remote sensing
- Buildings
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)