The assessment of data mining algorithms for modelling Savannah Woody cover using multi-frequency (X-, C- and L-band) synthetic aperture radar (SAR) datasets.
Laven NaidooRenaud MathieuRussell MainWaldo KleynhansKonrad J. WesselsGregory P. AsnerBrigitte LeblonPublished in: IGARSS (2014)
Keyphrases
- data mining algorithms
- synthetic aperture radar
- sar images
- data mining
- sar imagery
- sar data
- synthetic aperture radar images
- data mining tasks
- preprocessing
- image reconstruction
- knowledge discovery
- sea ice
- automatic target recognition
- data mining techniques
- itemsets
- target recognition
- phase history data
- parameter estimation
- sar imaging
- spectral estimation
- distance measure
- maximum likelihood
- speckle noise
- data analysis
- wavelet domain
- image processing
- sar image segmentation
- optical images
- distance function
- multiresolution
- data streams
- image segmentation
- databases
- markov random field