Title :
The decision tree classifier: Design and potential
Author :
Swain, Philip H. ; Hauska, Hans
Author_Institution :
School of Electrical Engineering and Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN 47907
fDate :
7/1/1977 12:00:00 AM
Abstract :
This paper presents the basic concepts of a multistage classification strategy called the decision tree classifier. Two methods for designing decision trees are discussed and experimental results are reported. The relative advantages and disadvantages of each design method are considered. A spectrum of typical applications in remote sensing is noted.
Journal_Title :
Geoscience Electronics, IEEE Transactions on
DOI :
10.1109/TGE.1977.6498972
