Open AccessMulti-sample parallel estimation in volume holographic correlator for remote sensing image recognition
Author(s) -
Shunli Wang,
Qiaofeng Tan,
Liangcai Cao,
Qingsheng He,
Guofan Jin
Publication year - 2009
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.17.021738
Subject(s) - holography , preprocessor , computer science , sample (material) , optical correlator , artificial intelligence , volume (thermodynamics) , computer vision , image (mathematics) , image processing , pattern recognition (psychology) , optics , mathematics , fourier transform , physics , mathematical analysis , quantum mechanics , thermodynamics
Based on volume holographic correlator, a multi-sample parallel estimation method is proposed to implement remote sensing image recognition with high accuracy. The essential steps of the method including image preprocessing, estimation curves fitting, template images preparation and estimation equation establishing are discussed in detail. The experimental results show the validity of the multi-sample parallel estimation method, and the recognition accuracy is improved by increasing the sample numbers.