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Geographical classification of apple based on hyperspectral imaging

机译：基于高光谱成像的苹果地理分类

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摘要

Attribute of apple according to geographical origin is often recognized and appreciated by the consumers. It is usually an important factor to determine the price of a commercial product. Hyperspectral imaging technology and supervised pattern recognition was attempted to discriminate apple according to geographical origins in this work. Hyperspectral images of 207 Fuji apple samples were collected by hyperspectral camera (400-1000nm). Principal component analysis (PCA) was performed on hyperspectral imaging data to determine main efficient wavelength images, and then characteristic variables were extracted by texture analysis based on gray level co-occurrence matrix (GLCM) from dominant waveband image. All characteristic variables were obtained by fusing the data of images in efficient spectra. Support vector machine (SVM) was used to construct the classification model, and showed excellent performance in classification results. The total classification rate had the high classify accuracy of 92.75% in the training set and 89.86% in the prediction sets, respectively. The overall results demonstrated that the hyperspectral imaging technique coupled with SVM classifier can be efficiently utilized to discriminate Fuji apple according to geographical origins.
机译：消费者通常会认识并赞赏苹果根据地理产地的属性。通常，确定商品价格是一个重要因素。在这项工作中，尝试使用高光谱成像技术和监督模式识别来根据地理来源来区分苹果。用高光谱相机（400-1000nm）收集了207份富士苹果样品的高光谱图像。对高光谱成像数据进行主成分分析（PCA），以确定主要的有效波长图像，然后基于灰度共生矩阵（GLCM），通过纹理分析从主波段图像中提取特征变量。所有特征变量均通过将图像数据融合到有效光谱中获得。支持向量机（SVM）用于构建分类模型，在分类结果上显示出优异的性能。总分类率在训练集中的分类准确率高达92.75％，在预测集中的分类准确率高达89.86％。总体结果表明，结合SVM分类器的高光谱成像技术可以有效地根据地理起源来区分富士苹果。

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  • 来源
  • 会议地点 Baltimore MD(US)
  • 作者

    Zhiming Guo; Wenqian Huang; Liping Chen; Chunjiang Zhao; Yankun Peng;

  • 作者单位

    Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China,College of Engineering, China Agricultural University, Beijing 100083, China;

    Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;

    Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China,National Engineering Research Center of Intelligent Equipment for Agriculture, Beijing, 100097, China;

    Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China,National Engineering Research Center of Intelligent Equipment for Agriculture, Beijing, 100097, China;

    College of Engineering, China Agricultural University, Beijing 100083, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    hyperspectral imaging; geographical origin; apple; feature extraction; support vector machine;

    机译：高光谱成像地理起源；苹果;特征提取;支持向量机;

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