Recognition of Urban Patterns Related to Leptospirosis Contamination Risks Using Object Based Classification of Aerial Photography. Test Areas: Informal Settlements of the Railroad Suburb of Salvador, Brazil.
Patricia Lustosa BritoHelbert ArenasNina LamJosé Alberto QuintanilhaPublished in: IGARSS (1) (2008)
Keyphrases
- pattern recognition
- urban areas
- feature extraction
- classification accuracy
- recognition process
- automatic recognition
- recognition rate
- correct recognition
- object classification
- pattern analysis
- unsupervised learning
- object recognition
- image classification
- pattern classification
- handwritten digits
- pattern representation
- lung disease
- automatic classification
- machine learning
- class labels
- feature selection
- high recognition rate
- supervised learning
- support vector
- feature vectors
- neural network
- test cases
- decision making
- urban planning
- decision trees
- man made
- feature space
- support vector machine
- classification scheme
- recognition accuracy
- aerial images
- text classification
- training samples
- pattern mining
- aerial photographs
- classification method
- classification algorithm