BBAuthors: Zhai, Liang; Advisor: -; Participants: - (2016)
Remote sensing image classification is one of the important methods of obtaining land cover/use information for nationwide general survey of geographical conditions in China. In this study, an object-oriented decision tree algorithm is utilized for land cover and land use mapping from high resolution WorldView-2 satellite remote sensing images. The major steps of this approach include image segmentation to get image objects and pixel-based classification based on the image objects. Multi-resolution segmentation approach was adopted in this study, which utilizes spatial and spectral information of land covers in the image to segment into different small objects with particular structur... 
