|Institution:||University of Adelaide|
|Keywords:||Multispectral photography.; Optical data processing.; Remote-sensing images|
|Full text PDF:||http://hdl.handle.net/2440/21367|
This thesis presents two new families of classification algorithms for pixel classification based on multi-spectral texture. The research demonstrates that algorithms making use of multispectral texture can be constructed that produce better classifications than standard algorithms at comparable computational cost.