Concurrent Self-Organizing Maps for Supervised/Unsupervised Change Detection in Remote Sensing Images.
Victor-Emil NeagoeRadu-Mihai StoicaAlexandru-Ioan CiureaLorenzo BruzzoneFrancesca BovoloPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2014)
Keyphrases
- self organizing maps
- remote sensing images
- unsupervised change detection
- unsupervised learning
- change detection
- remote sensing
- multispectral
- neural network
- marked point processes
- supervised learning
- competitive learning
- semi supervised
- land cover
- satellite images
- learning algorithm
- neural gas
- landsat etm
- input data
- image analysis
- k means
- hyperspectral
- supervised classification
- data mining
- multi spectral images
- expectation maximization
- dimensionality reduction
- image fusion
- high quality
- pattern recognition
- som neural network
- decision trees
- data streams
- image processing