Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2016, Pages 680-688

  Kampffmeyer, Michael ^a   Salberg, Arnt Borre ^b   Jenssen, Robert ^a  

^a UNIVERSITY OF TROMSØ   (Norway)

^b NORWEGIAN COMPUTING CENTER   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MAPPING; NEURAL NETWORKS; PATTERN RECOGNITION; PIXELS; SEMANTIC WEB; SEMANTICS; UNCERTAINTY ANALYSIS;

CLASSIFICATION ACCURACY; CONVOLUTIONAL NEURAL NETWORK; DEEP ARCHITECTURES; MEASURING UNCERTAINTY; MODEL OF UNCERTAINTY; REMOTE SENSING IMAGES; SEMANTIC SEGMENTATION; URBAN REMOTE SENSING IMAGES;

REMOTE SENSING;

EID: 85010208970     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2016.90     Document Type: Conference Paper

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