AIRBORNE LIDAR DATA CLASSIFICATION IN COMPLEX URBAN AREA USING RANDOM FOREST: A CASE STUDY OF BERGAMA, TURKEY
Airborne Light Detection and Ranging (LiDAR) data have been increasingly used for classification of urban areas in the last decades. Classification of urban areas is especially crucial to separate the area into classes for urban planning, mapping, and change detection monitoring purposes. In this st...
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| Format: | Article |
| Language: | English |
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Mersin University
2019-02-01
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| Series: | International Journal of Engineering and Geosciences |
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| Online Access: | https://dergipark.org.tr/tr/pub/ijeg/issue/37388/440828?publisher=https-www-selcuk-edu-tr-muhendislik-harita-akademik-personel-bilgi-3325-tr |