Detection of Cirsium arvense L. in winter wheat using a multispectral imaging system

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F08%3A26227" target="_blank" >RIV/60460709:41210/08:26227 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Detection of Cirsium arvense L. in winter wheat using a multispectral imaging system

Original language description

The objective of this study is to find algorithms for detection of Cirsium arvense in cereals using airborne high resolution multispectral imaging. The image of ripped winter wheat stand was taken from helicopter using 3-band multispectral imaging systemin the altitude of 290 m, which provided a spatial resolution of 0.1 m per pixel. Green (500?580 nm), red (630?710 nm), and NIR (735?865 nm) spectral bands were used. Sample areas of 2 x 2 m were marked in the field using white targets. Ground truth data were collected immediately after the flight. High resolution ground images of the sample areas were taken by digital camera. The plants of C. arvense were manually extracted from these images and the aerial and ground information were compared by the overlay of the images. Various vegetation indices including NDVI were calculated and the accuracy of the classification was tested. The best correlation coefficient (r = 0.800) and also the highest classification accuracy (88.96 %) was rea

Czech name

Detekce Cirsium arvense L. v ozimé pšenici pomocí multispektrálního snímkování

Czech description

The objective of this study is to find algorithms for detection of Cirsium arvense in cereals using airborne high resolution multispectral imaging. The image of ripped winter wheat stand was taken from helicopter using 3-band multispectral imaging systemin the altitude of 290 m, which provided a spatial resolution of 0.1 m per pixel. Green (500?580 nm), red (630?710 nm), and NIR (735?865 nm) spectral bands were used. Sample areas of 2 x 2 m were marked in the field using white targets. Ground truth data were collected immediately after the flight. High resolution ground images of the sample areas were taken by digital camera. The plants of C. arvense were manually extracted from these images and the aerial and ground information were compared by the overlay of the images. Various vegetation indices including NDVI were calculated and the accuracy of the classification was tested. The best correlation coefficient (r = 0.800) and also the highest classification accuracy (88.96 %) was rea

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

GF - Diseases, pests, weeds and plant protection

OECD FORD branch

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Project

<a href="/en/project/QH71099" target="_blank" >QH71099: Use of multispectral imaging for detection of Cirsium arvense L. in cereals</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2008

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Plant Diseases and Protection

ISSN

1861-3829

e-ISSN

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Volume of the periodical

21

Issue of the periodical within the volume

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Country of publishing house

DE - GERMANY

Number of pages

4

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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