A central-point-enhanced convolutional neural network for high-resolution remote-sensing image classification

International Journal of Remote Sensing

Volumn 38, Issue 23, 2017, Pages 6554-6581

  Pan, Xin ^a   Zhao, Jian ^a  

^a CHANGCHUN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; DEEP LEARNING; IMAGE ENHANCEMENT; MAXIMUM LIKELIHOOD; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; PIXELS; REMOTE SENSING;

CLASSIFICATION AND REGRESSION TREE; CONVOLUTIONAL NEURAL NETWORK; CONVOLUTIONAL NEURAL NETWORKS (CNN); HIGH RESOLUTION REMOTE SENSING IMAGES; MORPHOLOGY AND STRUCTURES; PIXEL BASED CLASSIFICATIONS; REMOTE SENSING CLASSIFICATION; STATE-OF-THE-ART METHODS;

IMAGE CLASSIFICATION;

ACCURACY ASSESSMENT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; IMAGE CLASSIFICATION; IMAGE RESOLUTION; MAXIMUM LIKELIHOOD ANALYSIS; REMOTE SENSING; SUPPORT VECTOR MACHINE;

EID: 85048958895     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2017.1362131     Document Type: Article

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