期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：27
期号：2
页码：70-75
DOI：10.14445/22312803/IJCTT-V27P112
出版社：Seventh Sense Research Group
摘要：This research discuss the classification method observed which combined spatial information and spectral. There are three steps in the technique applied in this research. First, conduct the classification based on pixels hyperspectral image using suport vector machine (SVM). Second, the spacial contextual is used to rise the clasification result accuracy through the segmentation of hiperspektral image using the markercontrolled watershed method. Third, classsification based on pixel and image segmentation on the first step and the second, combined the result to aim the last map classification using the majority vote approach. The result finding obtained by using the hyperspectral image Aviris Indian Pines show the accuracy improvement compared with the classification using only the spectral information.
关键词：Classification; hyperspectral image; marker-controlled watershed; support vector machine.
