Keywords
AdaBoostSupport vector machineHyperspectral imagingRandom forestArtificial intelligencePattern recognition (psychology)Remote sensingNatura 2000Classifier (UML)NadirComputer scienceGeographyHabitatPhysicsEcology
Affiliated Institutions
Related Publications
Recognizing realistic actions from videos “in the wild”
In this paper, we present a systematic framework for recognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as w...
An Evaluation of Bagging, Boosting, and Random Forests for Land-Cover Classification in Cape Cod, Massachusetts, USA
The iterative and convergent nature of ensemble learning algorithms provides potential for improving classification of complex landscapes. This study performs land-cover classif...
Publication Info
- Year
- 2012
- Type
- article
- Volume
- 18
- Pages
- 13-22
- Citations
- 62
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
62
OpenAlex
Cite This
Jonathan Cheung-Wai Chan,
Pieter Beckers,
Toon Spanhove
et al.
(2012).
An evaluation of ensemble classifiers for mapping Natura 2000 heathland in Belgium using spaceborne angular hyperspectral (CHRIS/Proba) imagery.
International Journal of Applied Earth Observation and Geoinformation
, 18
, 13-22.
https://doi.org/10.1016/j.jag.2012.01.002
Identifiers
- DOI
- 10.1016/j.jag.2012.01.002