DocumentCode
1734887
Title
Multiresolution rotation invariant simultaneous auto regressive model for texture analysis
Author
Jiaruo, Wan ; Jianchang, Mao ; Dao, Wang Chenq
Author_Institution
Dept. of Electron. Sci. & Technol., East China Normal Univ., Shanghai, China
fYear
1988
Firstpage
845
Abstract
Two models, called the multivariate rotation-invariant SAR (RISAR) model and the multiresolution SAR/RISAR (MRSAR/MRRISAR) model, are presented. The information used by the in MRSAR/MRRISAR model is more complete and more independent. Many experiments on image classification using RISAR model and MRRISAR model indicate that these models have very strong classification power, wide area in which they can be used, very good rotation invariance, and high speed for recognition
Keywords
pattern recognition; MRSAR/MRRISAR; classification power; multiresolution SAR/RISAR; multiresolution rotation invariant simultaneous autoregressive model; multivariate rotation-invariant SAR; pattern recognition; rotation invariance; texture analysis; Character recognition; Cognition; Image analysis; Image classification; Image recognition; Image resolution; Image texture analysis; Information analysis; Kernel; Layout;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28377
Filename
28377
Link To Document