Object-based crop species classification based on the combination of airborne hyperspectral images and LiDAR data

Remote Sensing

Volumn 7, Issue 1, 2015, Pages 922-950

  Liu, Xiaolong ^a,b   Bo, Yanchen ^a,b  

^a BEIJING NORMAL UNIVERSITY   (China)

^b Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities   (China)

Author keywords

Crop species classification; Hyperspectral remote sensing; Image segmentation; LiDAR data; Object based classification

Indexed keywords

AGRICULTURE; CROPS; IMAGE ANALYSIS; IMAGE SEGMENTATION; OPTICAL RADAR; PLANTS (BOTANY); REMOTE SENSING; SPECTROSCOPY;

AIRBORNE HYPERSPECTRAL DATA; COMPACT AIRBORNE SPECTROGRAPHIC IMAGER; HYPERSPECTRAL REMOTE SENSING; HYPERSPECTRAL REMOTE SENSING DATA; LIDAR DATA; OBJECT BASED IMAGE ANALYSIS (OBIA); OBJECT-BASED CLASSIFICATIONS; SPECIES CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

EID: 84979917755     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70100922     Document Type: Article

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