Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler's First Law of Geography for Very High Resolution Aerial Imagery Classification.
Zhiyong LvPenglin ZhangJón Atli BenediktssonPublished in: Remote. Sens. (2017)
Keyphrases
- feature extraction
- aerial imagery
- object oriented
- image classification
- feature vectors
- pattern recognition
- feature selection
- aerial images
- feature space
- feature set
- frequency domain
- spatial data
- spatial information
- spatial relationships
- support vector
- hyperspectral images
- wavelet transform
- relational databases
- lidar data
- image analysis
- principal component analysis
- high quality
- spatial databases
- video sequences