Detekce Cirsium arvense L. v ozimé pšenici pomocí multispektrálního snímkování

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GF - Choroby, škůdci, plevely a ochrana rostlin

OECD FORD obor

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Projekt

<a href="/cs/project/QH71099" target="_blank" >QH71099: Využití multispektrálního snímkování porostů pro detekci pcháče osetu obilninách</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název periodika

Journal of Plant Diseases and Protection

ISSN

1861-3829

e-ISSN

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Svazek periodika

21

Číslo periodika v rámci svazku

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Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

4

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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