Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6347449 | Remote Sensing of Environment | 2012 | 16 Pages |
Abstract
⺠Here LiDAR and hyperspectral data are combined to build models of forest attributes. ⺠Genetic algorithm was used to screen the predictor feature space. ⺠Restricted neighbor search improved the performance and returns unbiased models. ⺠The hyperspectral data slightly contributed to improve the LiDAR-based models. ⺠GA-screened models featuring 9-12 predictors are suggested.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Hooman Latifi, Fabian Fassnacht, Barbara Koch,