Influence of Data Source and Training Size on Impervious Surface Areas Classification Using VHR Satellite and Aerial Imagery Through an Object-Based Approach.
Ismael FernándezFernando J. AguilarManuel A. AguilarFlor AlvarezPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2014)
Keyphrases
- aerial images
- aerial imagery
- urban areas
- remote sensing
- parking lot
- training set
- d objects
- change detection
- pattern recognition
- data sources
- training samples
- three dimensional
- man made structures
- remote sensing images
- feature vectors
- elevation data
- line segments
- urban environments
- image classification
- lidar data
- high resolution
- data sets