Keyphrases
Forest Inventory
100%
Operative
100%
Tree Level
100%
Individual Tree Crown
100%
VHR Satellite Images
100%
Feature Selection
50%
Classification Accuracy
50%
Species Proportion
50%
Classifier Model Selection
50%
Spruce
25%
Tree Species
25%
Filter Method
25%
Tree Species Classification
25%
Tree Detection
25%
Forest Resources
25%
Work-related
25%
Contextual Features
25%
Open Area
25%
Eastern Finland
25%
Forest Variables
25%
Species Identification
25%
Spectral Signature
25%
Width Measurement
25%
Overall Classification Accuracy
25%
Field Inventory
25%
Non-tree
25%
RMS Error
25%
Green Vegetation
25%
Inventory Plot
25%
Bare Ground
25%
Brightest pixel
25%
Circular Neighborhood
25%
Ground Object
25%
Resource Mapping
25%
Field Visit
25%
Pixel Features
25%
Class Position
25%
Geolocation Information
25%
Local Maximum Filtering
25%
Crown Width
25%
INIS
levels
100%
information
100%
images
100%
classification
100%
satellites
100%
forests
100%
accuracy
100%
inventories
100%
extraction
100%
pines
25%
spruces
25%
performance
25%
assessments
25%
finland
25%
data
25%
resources
25%
width
25%
mapping
25%
detection
25%
errors
25%
prediction
25%
testing
25%
vegetation
25%
Computer Science
Satellite Image
100%
Classification Accuracy
100%
Feature Selection
66%
Classifier Model
66%
Feature Extraction
66%
Location Information
33%
Independent Set
33%
Spectral Signature
33%
Earth and Planetary Sciences
Satellite Image
100%
Forest Inventory
100%
Accuracy Assessment
50%
Forest Resource
50%
Finland
50%
Vegetation
50%
Spectral Signature
50%
Agricultural and Biological Sciences
Forest Inventory
100%
Tree Crown
100%
Pinus
20%
Deciduous
20%
Forest Resource
20%