RBF neural network supported classification of remote sensing images based on TM/ETM+ in Nanjing

• Main Authors: CAO, Kai, HUANG, Bo, HENG, Lu, BIAO, Liu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2008
• Subjects: TM/ETM+; Nanjing; RBF Neural Network; MLC; BPMLP; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/5452; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6455&context=sis_research
• Institution: Singapore Management University

The classification of remote sensing images is more and more important along with the development of society and economy. According to the defects general classification methods have, such as the accuracy, the efficiency etc, the design of ‘robust’ classification system based on a Gaussian RBF neura...