Object-based classification of QuickBird image and low point density LIDAR for tropical trees and shrubs mapping
This paper assessed the performance of object-based supervised support vector machine (SVM) and rule-based techniques in classifying tropical vegetated floodplain using 0.6m QuickBird image and LIDAR dataset of 1.4 points per square meter (PPSM). This is particularly significant in hydraulic modelli...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Makale |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
Associazione Italiana di Telerilevamento
2015
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| Online Erişim: | http://psasir.upm.edu.my/id/eprint/45638/1/LIDAR.pdf |
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