An Object-Based Approach for Urban Land Cover Classification: Integrating LiDAR Height and Intensity Data

Digital surface models (DSMs) derived from light detection and ranging (LiDAR) data have been increasingly integrated with high-resolution multispectral satellite/aerial imagery for urban land cover classification. Fewer studies, however, have investigated the usefulness of LiDAR intensity in aid of...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2013-07, Vol.10 (4), p.928-931
1. Verfasser:	Zhou, Weiqi
Format:	Artikel
Sprache:	eng
Schlagworte:	Baltimore Buildings high-resolution imagery Image color analysis Image segmentation intensity Laser radar light detection and ranging (LiDAR) normalized digital surface model (nDSM) object-based image analysis Shape Spatial resolution urban land cover classification Vegetation
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