Title :
Image classification based on data fusion
Author :
Zhao, Zhigang ; Chen, Xuequan
Author_Institution :
Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
The purpose of the paper is to advance the performance of the multisource remotely sensed images classification. A new conception of the classification is proposed by using the idea of the intelligent engineering and advanced method of data fusion. Image classification used by data fusion based on the statistical method is achieved and some helpful conclusions are discussed. The experiments show that the new method is superior to the traditional methods and the augmented vector approach
Keywords :
geophysical signal processing; image classification; remote sensing; sensor fusion; statistical analysis; data fusion; intelligent engineering; multisource remotely sensed image classification; statistical method; Data engineering; Image classification; Image sensors; Information science; Paper technology; Remote sensing; Road vehicles; Satellites; Statistical analysis; Synthetic aperture radar;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862539
