Finer classification of crops by fusing UAV images and sentinel-2A data

Remote Sensing

Volumn 11, Issue 24, 2019, Pages

  Zhao, Licheng ^a,b   Shi, Yun ^a,b   Liu, Bin ^a,b   Hovis, Ciara ^c   Duan, Yulin ^a,b   Shi, Zhongchao ^d  

^a INSTITUTE OF PLANT PROTECTION   (China)

^b AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

^c MICHIGAN STATE UNIVERSITY   (United States)

^d TOKYO CITY UNIVERSITY   (Japan)

Author keywords

Classification; Image fusion; Random forests; Resolution; Sentinel 2A; UAV

Indexed keywords

ANTENNAS; CLASSIFICATION (OF INFORMATION); CROPS; DECISION TREES; IMAGE FUSION; IMAGE RESOLUTION; OPTICAL RESOLVING POWER; PHOTOMAPPING; SATELLITE IMAGERY; UNMANNED AERIAL VEHICLES (UAV);

ADVERSE SIDE EFFECTS; CLASSIFICATION ACCURACY; FRAGMENTED LANDSCAPES; RANDOM FOREST ALGORITHM; RANDOM FORESTS; SENTINEL-2A; SPATIAL HETEROGENEITY; SPATIAL RESOLUTION;

IMAGE CLASSIFICATION;

EID: 85077881059     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs11243012     Document Type: Article

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