Xu et al., 2014 - Google Patents
Multiple-entity based classification of airborne laser scanning data in urban areasXu et al., 2014
View PDF- Document ID
- 7164292935490902277
- Author
- Xu S
- Vosselman G
- Oude Elberink S
- Publication year
- Publication venue
- ISPRS Journal of photogrammetry and remote sensing
External Links
Snippet
There are two main challenges when it comes to classifying airborne laser scanning (ALS) data. The first challenge is to find suitable attributes to distinguish classes of interest. The second is to define proper entities to calculate the attributes. In most cases, efforts are made …
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