A Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 10, 2015, Pages 5312-5326

  Gu, Yanfeng ^a   Wang, Qingwang ^a   Jia, Xiuping ^b,c   Benediktsson, Jón Atli ^d  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c HARBIN ENGINEERING UNIVERSITY   (China)

^d UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Classification; Heterogeneous features (HF); Light detection and ranging (LiDAR); Multiple kernel learning (MKL); Multispectral images

Indexed keywords

DATA INTEGRATION; OPTICAL RADAR; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; DISCRIMINATIVE ABILITY; HETEROGENEOUS FEATURES; LIGHT DETECTION AND RANGING; MULTIPLE KERNEL LEARNING; MULTISPECTRAL IMAGES; STATE-OF-THE-ART ALGORITHMS; URBAN AREA CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; ALGORITHM; DATA SET; EXPERIMENTAL STUDY; GAUSSIAN METHOD; HETEROGENEITY; INTEGRATED APPROACH; LAND CLASSIFICATION; LIDAR; LINEARITY; NUMERICAL MODEL; OPTIMIZATION; SATELLITE DATA; SUPPORT VECTOR MACHINE; URBAN AREA; URBAN PLANNING;

EID: 85027940604     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2421051     Document Type: Article

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