Classification of forest land attributes using multi-source remotely sensed data.
Inka PippuriAki SuvantoMatti MaltamoKari T. KorhonenJuho PitkänenPetteri PackalenPublished in: Int. J. Appl. Earth Obs. Geoinformation (2016)
Keyphrases
- multi source
- remotely sensed data
- land cover
- image classification
- data fusion
- information fusion
- pattern recognition
- remote sensing
- change detection
- supervised classification
- feature vectors
- feature selection
- data integration
- machine learning
- supervised learning
- feature space
- feature extraction
- unsupervised learning
- hyperspectral data
- remotely sensed
- multispectral
- database
- data sources
- image analysis
- training set
- data sets