Combining UAV-based vegetation indices and image classification to estimate flower number in oilseed rape

Remote Sensing

Volumn 10, Issue 9, 2018, Pages

  Wan, Liang ^a,b   Li, Yijian ^a,b   Cen, Haiyan ^a,b   Zhu, Jiangpeng ^a,b   Yin, Wenxin ^a,b   Wu, Weikang ^a,b   Zhu, Hongyan ^a,b   Sun, Dawei ^a,b   Zhou, Weijun ^c   He, Yong ^a,b  

^a ZHEJIANG UNIVERSITY   (China)

^b AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

Flower number; Image classification; Oilseed rape; RGB and multispectral camera; Unmanned aerial vehicle (UAV); Vegetation indices

Indexed keywords

ANTENNAS; CAMERAS; DECISION TREES; OILSEEDS; REMOTE SENSING; UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

ABSOLUTE CORRELATIONS; FLOWER NUMBER; MULTI-SPECTRAL CAMERAS; MULTISPECTRAL IMAGES; NORMALIZED DIFFERENCES; OIL SEED RAPE; OPTIMAL SUBSET REGRESSIONS (OSR); VEGETATION INDEX;

IMAGE CLASSIFICATION;

EID: 85053603765     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10091484     Document Type: Article

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