Relevance assessment of full-waveform lidar data for urban area classification

Author:

Mallet Clément,Bretar Frédéric,Roux Michel,Soergel Uwe,Heipke Christian

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference75 articles.

1. Backscatter coefficient as an attribute for the classification of full-waveform airborne laser scanning data in urban areas;Alexander;ISPRS Journal of Photogrammetry and Remote Sensing,2010

2. The ASTER spectral library version 2.0;Baldridge;Remote Sensing of Environment,2009

3. Evaluation of One-Class SVM for pixe-based and segment-based classification in remote sensing;Braun;International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences,2010

4. Terrain surfaces and 3D landcover classification from small footprint full-waveform lidar data: application to badlands;Bretar;Hydrology and Earth System Sciences,2009

5. Campedel, M., Kyrgyzov, I., Maitre, H., 2008. Unsupervised feature selection applied to SPOT5 satellite images indexing. In: New Challenges for Feature Selection in Data Mining and Knowledge Discovery, JMLR, Antwerp, Belgium, 15 September, pp. 48–59.

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