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Remote Sensing for Land & Resources    2021, Vol. 33 Issue (1) : 115-122     DOI: 10.6046/gtzyyg.2020078
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Tobacco fine extraction from UAV image based on fuzzy-superpixel segmentation algorithm
XIA Yan1(), HUANG Liang1,2(), CHEN Pengdi1
1. College of Land and Resources Engineering, Kunming University of Technology, Kunming 650093, China
2. Application Engineering Research Center of Spatial Information Mapping Technology in Plateau Mountainous Area of Yunnan Province, Kummimg 650093, China
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Abstract  

The successful extraction of tobacco single plant automation is of great significance to the realization of tobacco agricultural information, but there are still great difficulties in tobacco fine extraction. Therefore, a tobacco extraction method based on Fuzzy superpixels (FS) algorithm is proposed. Firstly, vegetation coverage area in UAV image is obtained by green space extraction method; secondly, super-pixel segmentation of image is carried out by using FS algorithm, and the mean value, brightness, shape index, aspect ratio, custom vegetation index and other features of super-pixel are counted; finally, the number of tobacco plants is extracted and counted by calculating the feature threshold of super-pixel. Three UAV images were selected as the experimental data. The experimental results show that the overall accuracy of this method is 84.28%, 89.05% and 82.97% respectively. This method can be used for automatic extraction of tobacco plant and can provide effective reference for later calculation of tobacco yield.
Keywords tobacco      UAV image      fuzzy-superpixel segmentation      information extraction     
ZTFLH:  TP79  
Corresponding Authors: HUANG Liang     E-mail: 799537530@qq.com;kmhuangliang@163.com
Issue Date: 18 March 2021
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Yan XIA
Liang HUANG
Pengdi CHEN
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Yan XIA,Liang HUANG,Pengdi CHEN. Tobacco fine extraction from UAV image based on fuzzy-superpixel segmentation algorithm[J]. Remote Sensing for Land & Resources, 2021, 33(1): 115-122.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020078     OR     https://www.gtzyyg.com/EN/Y2021/V33/I1/115
Fig.1  Original images
Fig.2  Flow chart of proposed method
Fig.3-1  Feature distribution graph
Fig.3-2  Feature distribution graph
Fig.4  Vegetation extraction result images
Fig.5  FS fuzzy superpixel algorithm segmentation results
Fig.6  Traditional segmentation algorithm segmentation results
Fig.7  Traditional segmentation algorithm results of Tobacco fine extraction
Fig.8  Traditional algorithm results of Tobacco fine extraction
方法 数据 实际株数 提取株数 总体精度/% 错检率/% 漏检率/%
FS 算法 数据1 626 650 84.28 0.03 20.91
数据2 438 490 89.05 0.20 11.51
数据3 513 552 82.97 0.36 13.89
传统算法 数据1 — — 54.05 1.00 39.84
数据2 — — 59.20 0.42 56.24
数据3 — — 63.70 0.61 37.78
Tab.1  Tobacco extraction accuracy evaluation
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