Landscape Classification System Based on RKM Clustering for Soil Survey UAV Images-Case Study of the Small Hilly Areas in Jurong City.
Zihan FangWenhao LuFubin ZhuChangda ZhuZhaofu LiJianjun PanPublished in: Sensors (2022)
Keyphrases
- image classification
- case study
- image data
- pattern recognition
- input image
- three dimensional
- supervised classification
- image database
- unsupervised learning
- ground truth
- som neural network
- k means
- image analysis
- object recognition
- urban areas
- preprocessing stage
- feature extraction
- classification accuracy
- edge detection
- text classification
- supervised learning
- self organizing maps
- image features
- pigmented skin lesions
- real world
- image collections
- dissimilarity measure
- aerial images
- machine learning
- test images
- extracted features
- porous media
- image matching
- decision trees
- small number
- image registration
- image retrieval
- multiscale
- high resolution computed tomography
- class labels
- feature selection
- clustering algorithm
- similarity measure
- hyperspectral images
- feature space
- data points
- high dimensionality
- feature set
- visual features
- segmentation algorithm