| Extraction of maize lodging information at mature stage based on UAV multispectral images |
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| DOI：10.7606/j.issn.1000-7601.2023.05.21 |
| Key Words: maize lodging multispectral image UAV information extraction |
| Author Name | Affiliation | | LI Huasen | College of Resources and Environment, Jilin Agricultural University, Changchun, Jilin 130118, China
Key Laboratory of Sustainable Utilization for Jilin Province Commercial Grain Bases, Jilin Agricultural University, Changchun, Jilin 130118, China | | XIA Chenzhen | College of Resources and Environment, Jilin Agricultural University, Changchun, Jilin 130118, China
Key Laboratory of Sustainable Utilization for Jilin Province Commercial Grain Bases, Jilin Agricultural University, Changchun, Jilin 130118, China | | ZHANG Xingyu | College of Resources and Environment, Jilin Agricultural University, Changchun, Jilin 130118, China
Key Laboratory of Sustainable Utilization for Jilin Province Commercial Grain Bases, Jilin Agricultural University, Changchun, Jilin 130118, China | | WANG Yin | College of Resources and Environment, Jilin Agricultural University, Changchun, Jilin 130118, China
Key Laboratory of Sustainable Utilization for Jilin Province Commercial Grain Bases, Jilin Agricultural University, Changchun, Jilin 130118, China
Key Laboratory of Straw Comprehensive Utilization and Black Soil Conservation,Ministry of Education, Changchun, Jilin 130118, China | | ZHANG Yue | College of Resources and Environment, Jilin Agricultural University, Changchun, Jilin 130118, China
Key Laboratory of Sustainable Utilization for Jilin Province Commercial Grain Bases, Jilin Agricultural University, Changchun, Jilin 130118, China
Key Laboratory of Straw Comprehensive Utilization and Black Soil Conservation,Ministry of Education, Changchun, Jilin 130118, China |
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| Abstract: |
| A maize field in Lishu County, Jilin Province was selected as the study area in this study.There were three types of maize status, including lodging, semi\|lodging, and unlodging maize respectively, according to the state of maize at the mature stage after the typhoon disaster. Based on multi\|spectral images collected by UAV, 15 spectral indices and 8 texture features were extracted. Object\|oriented method, maximum likelihood method and multiple logistic regression model were used to extract lodging information of maize.Then, the 400 sample points were selected by visual method to verify the accuracy of maize lodging information extraction results.The results showed that the object\|oriented method had the highest accuracy with the overall accuracy of 88.13% and the Kappa coefficient of 0.83. In this study, the best spectral index used to distinguish lodging and unlodging maize was normalized differential vegetation index, and the features that contributed most to distinguishing lodging, and semi\|lodging and semi\|lodging and unlodging maize were contrast texture features. This study showed that the object\|oriented method based on UAV multispectral imagery has great potential in accurately identifying field\|scale maize lodging information. |
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