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3-d displacement
accuracy assessment
aerial image
aerial photogrammetry
air quality
amazon forest
and random forest classifier
android app
ant colony optimization
anthropogenic activities
apollo 11
artificial neural network
aster
attribute profiles
automatic identification system
backscatter
biome
biosciences
block adjustment
bridge
building map
bush fire
capon
cartographic generalization
causality
cerrado
change detection
change-detection
changes analysis
china
classification
climate change
climate monitoring
close range photogrammetry
cloud classification
cloud detection
cloudfree ndvi
cluster analysis
clustering
co-registration
convolutional neural network
convolutional neural networks
coordinate systems
correlation
critically polluted
cycle generative adversarian networks
data augmentation
data fusion
decision tree
deep learning
deep-learning
deeplabv3+
deflection
deforestation
deformation models
dempster-shafer theory
detection
disaster management
domain adaptation
dtm
dwelling detection
earth observation
earthquake
environmental degradation
erosion
explainability
faster r-cnn
faster r-cnns
feature extraction
fire detection
fire station
fixed threshold
flavescence dor?e grapevine disease
flood
flood mapping
flownet 2.0
fractional order derivative
free and open source software
frost heave deformations
full waveform
fully convolutional network
geometric quality assessment
geosciences
geospatial techniques
gnss
gnss signal
google earth engine
gps
grasslands
growing degree days
growth stages
haralick features
hazard reduction
hidden markov random field
hierarchical markov random models
hyperspectral
hyperspectral image analysis
hyperspectral images
hyperspectral imaging
illegal solid waste

Content with tagamazon forest In the channelTechnical Commission III (1)

Evaluation of semantic segmentation methods for deforestation detection in the Amazon

Technical Commission III

1202
Evaluation of semantic segmentation methods for deforestation detection in the Amazon
Gilson A O P COSTA