The applications of generalized learning in RSIRS

Author

Min, Yao ; Zhou-Xiang, Shou ; Ming, W.U. ; Xiaoming, Zhao

Author_Institution

Coll. of Comput., Zhejiang Univ., Hangzhou, China

Volume

2

fYear

2004

fDate

31 Aug.-4 Sept. 2004

Firstpage

1510

Abstract

Generalized learning is a kind of integrated machine learning methods, which combines symbolic learning with connective learning, fuzzy learning and evolution learning. This paper discusses the fundamental principle for generalized learning first. Then the generalized learning is introduced to remote sensing image recognition system (RSIRS for short) to obtain certain knowledge from training sample set for classification. The experiment result has shown the validity of generalized learning in knowledge discovering.

Keywords

data mining; generalisation (artificial intelligence); image recognition; learning (artificial intelligence); pattern classification; remote sensing; connective learning; evolution learning; fuzzy learning; generalized learning; knowledge discovering; machine learning methods; pattern classification; remote sensing image recognition system; symbolic learning; Application software; Data mining; Educational institutions; Fuses; Information analysis; Information science; Learning systems; Machine learning; Probes; Psychology;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on

Print_ISBN

0-7803-8406-7

Type

conf

DOI

10.1109/ICOSP.2004.1441614

Filename

1441614