Decision tree classification of remote sensing images based on multi-feature

作者：Pan Chen^*; Lin Yi; Chen Ying Ying

来源：Journal of Optoelectronics - Laser, 2010, 21(5): 731-736.

• Algebraic manipulations
• Analytical results
• Classification accuracy
• Classification methods
• Conventional classification methods
• Decision tree classification
• Decision tree classifiers
• Object distribution
• Remote sensing images
• Shape features
• Thematic information
• Training sample
• Wavebands

A classification method is presented for remote sensing images, which uses C5.0 decision tree classifier based on multi-feature. The features of spectrum, texture and shape in the image are extracted with a series of operations such as algebraic manipulation of wave bands, principal component analysis, image segmentation, and so on. Then, the extraction of the thematic information of primary ground-object distribution is realized through a combination of the purified training samples for each class and the image classifications with C5.0 decision tree classification method. Finally, classification accuracy and results are compared between this method and the conventional classification methods. The analytical results show that this method can improve the classification accuracy efficiently.

• 出版日期2010
• 单位同济大学