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
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;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28377
