Optimizing land use classification using decision tree approaches
Optimizing land use classification using decision tree approaches Vaibhav Walia + under guidance of DR. Sameer Saran Indian Institute of remote sensing (NRSA), Dehradun (UA)-248 001 + Manipal institute of technology, Manipal (KA) E-mail: walia.vaibhav@yahoo.com Abstract: Supervised classification is one of the important tasks in remote sensing image interpretation, in which the image pixels are classified to various predefined land use/land cover classes based on the spectral reflectance values in different bands. In reality some classes may have very close spectral reflectance values that overlap in feature space. This produces spectral confusion among the classes and results in inaccurate classified images. To remove such spectral confusion one requires extra spectral and spatial knowledge. This report presents a decision tree classifier...