Wheat nitrogen content measuring and calculating method based on hyperspectral remote sensing image of unmanned aerial vehicle

The invention discloses a wheat nitrogen content measuring and calculating method based on an unmanned aerial vehicle hyperspectral remote sensing image, and relates to application of digital image processing in the field of agricultural remote sensing. The method comprises the following steps: firs...

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Hauptverfasser: WANG XIAOFEI, JI JIANGTAO, ZHANG HAOLEI, JIN XIN, ZHENG FENGXUN, LI XUE, CUI HONGWEI, MA HAO
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creator WANG XIAOFEI
JI JIANGTAO
ZHANG HAOLEI
JIN XIN
ZHENG FENGXUN
LI XUE
CUI HONGWEI
MA HAO
description The invention discloses a wheat nitrogen content measuring and calculating method based on an unmanned aerial vehicle hyperspectral remote sensing image, and relates to application of digital image processing in the field of agricultural remote sensing. The method comprises the following steps: firstly, calculating a Pearson correlation coefficient of an extracted spectral index and nitrogen content values of different parts of wheat; a regression model is established according to the optimal spectrum index of the correlation coefficient and the nitrogen content values of different parts of wheat in the sample area; inputting the spectral vegetation index of each plot into an estimation model to obtain nitrogen content values of different parts of wheat in the corresponding plot; and performing visualization processing by using an inverse distance weighted spatial interpolation algorithm to obtain the overall nitrogen content distribution information of the wheat field. According to the method, unmanned aeria
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
PHYSICS
TESTING
title Wheat nitrogen content measuring and calculating method based on hyperspectral remote sensing image of unmanned aerial vehicle
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