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ndltd-NEU--neu-1291
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oai_dc
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ndltd-NEU--neu-12912021-05-25T05:09:39ZAdaBoost based approach to automatic classification and detection of buildings footprints, vegetation areas and roads from satellite imagesIn recent years, there has been an increasing demand for applications to monitor the targets related to land-use, using remote sensing images. Advances in remote sensing satellites give rise to the research in this area. Many applications ranging from urban growth planning to homeland security have already used the algorithms for automated object recognition from remote sensing imagery. However, they have still problems such as low accuracy on detection of targets, specific algorithms for a specific area etc.http://hdl.handle.net/2047/d20000915
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NDLTD
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| sources |
NDLTD
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| description |
In recent years, there has been an increasing demand for applications to monitor the targets related to land-use, using remote sensing images. Advances in remote sensing satellites give rise to the research in this area. Many applications ranging from urban growth planning to homeland security have already used the algorithms for automated object recognition from remote sensing imagery. However, they have still problems such as low accuracy on detection of targets, specific
algorithms for a specific area etc.
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| title |
AdaBoost based approach to automatic classification and detection of buildings footprints, vegetation areas and roads from satellite images
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| spellingShingle |
AdaBoost based approach to automatic classification and detection of buildings footprints, vegetation areas and roads from satellite images
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| title_short |
AdaBoost based approach to automatic classification and detection of buildings footprints, vegetation areas and roads from satellite images
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| title_full |
AdaBoost based approach to automatic classification and detection of buildings footprints, vegetation areas and roads from satellite images
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| title_fullStr |
AdaBoost based approach to automatic classification and detection of buildings footprints, vegetation areas and roads from satellite images
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| title_full_unstemmed |
AdaBoost based approach to automatic classification and detection of buildings footprints, vegetation areas and roads from satellite images
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| title_sort |
adaboost based approach to automatic classification and detection of buildings footprints, vegetation areas and roads from satellite images
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| publishDate |
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| url |
http://hdl.handle.net/2047/d20000915
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| _version_ |
1719405750364667904
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