Automatic building detection and land use classification in urban areas using multispectral high-spatial resolution imagery and LiDAR data
Urban areas areimportant environments, accounting for approximately half the population of theworld. Cities attract residents partly because they offer ample opportunitiesfor development, which often results in urban sprawl and its complex environmentalimplications. It is therefore necessary to deve...
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| Format: | Article |
| Language: | English |
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Computer Vision Center Press
2014-06-01
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| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
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| Online Access: | https://elcvia.cvc.uab.es/article/view/584 |