Paper
30 August 2013 Research on marine and freshwater fish identification model based on hyper-spectral imaging technology
Yan Fu, Pei-yuan Guo, Ling-zi Xiang, Man Bao, Xing-hai Chen
Author Affiliations +
Proceedings Volume 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications; 891015 (2013) https://doi.org/10.1117/12.2033665
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China
Abstract
With the gradually mature of hyper spectral image technology, the application of the meat nondestructive detection and recognition has become one of the current research focuses. This paper for the study of marine and freshwater fish by the pre-processing and feature extraction of the collected spectral curve data, combined with BP network structure and LVQ network structure, a predictive model of hyper spectral image data of marine and freshwater fish has been initially established and finally realized the qualitative analysis and identification of marine and freshwater fish quality. The results of this study show that hyper spectral imaging technology combined with the BP and LVQ Artificial Neural Network Model can be used for the identification of marine and freshwater fish detection. Hyper-spectral data acquisition can be carried out without any pretreatment of the samples, thus hyper-spectral imaging technique is the lossless, high- accuracy and rapid detection method for quality of fish. In this study, only 30 samples are used for the exploratory qualitative identification of research, although the ideal study results are achieved, we will further increase the sample capacity to take the analysis of quantitative identification and verify the feasibility of this theory.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Fu, Pei-yuan Guo, Ling-zi Xiang, Man Bao, and Xing-hai Chen "Research on marine and freshwater fish identification model based on hyper-spectral imaging technology", Proc. SPIE 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications, 891015 (30 August 2013); https://doi.org/10.1117/12.2033665
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Cited by 2 scholarly publications.
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KEYWORDS
Oceanography

Coastal modeling

Ocean optics

Neurons

Data modeling

Imaging spectroscopy

Statistical analysis

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