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The Take-All of Wheat Diseases Feature Extraction Method Study Using Ground Spectral Measurement Data and TM Multispectral Data

机译：使用地面光谱测量数据和TM多光谱数据的特征提取方法研究特征提取方法研究

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Take-all of wheat took place in major wheat production area of He Nan Province, China. The gaeumannomyces graminis infected area has increased in recent years and become one of primary reasons for wheat output reduction. This research focused on take-all of wheat monitoring by remote sensing. According to the ground spectral measurement and feature of take-all infected samples and healthy sample as well as the corresponding pixels of remote sensing images, two methods for TM multispectral remote sensing data feature extraction of take-all of wheat were proposed in this paper. The monitoring of take-all of wheat can be used in evaluation of infected area, controlling of wheat seed from infected area, and also guidance for infected area soil remedy.

机译：所有小麦在中国何南省主要小麦生产区发生。近年来，Gaeumannomyces Graminis感染的区域增加了小麦产量的主要原因之一。这项研究专注于通过遥感的所有小麦监测。根据接受所有受感染样品和健康样品的地光谱测量和特征以及遥感图像的相应像素，本文提出了两种用于TM多光谱遥感数据特征提取的TM多光谱遥感数据特征提取。对所有小麦的监测可用于评估感染的区域，从感染区域控制小麦种子，以及感染地区土壤补救的指导。

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《International Geoscience Remote Sensing Symposium》|2008年||共15页
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作者
Xue Chen; Jianwen Ma; Hongbo Qiao; Fangyan Yuan;
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原文格式 PDF
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中图分类 P3-53;
关键词
MPH technique; spatial data; take-all of wheat;

机译：MPH技术;空间数据;拿出所有小麦;

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机译：利用决策导向的卡尔曼滤波器进行自适应处理和多光谱数据的特征提取

The Take-All of Wheat Diseases Feature Extraction Method Study Using Ground Spectral Measurement Data and TM Multispectral Data

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