A new method for region-based majority voting CNNs for very high resolution image classification

Remote Sensing

Volumn 10, Issue 12, 2018, Pages

  Lv, Xianwei ^a   Ming, Dongping ^a   Lu, Tingting ^a   Zhou, Keqi ^a   Wang, Min ^b   Bao, Hanqing ^a  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b NANJING NORMAL UNIVERSITY   (China)

Author keywords

CNN; GEOBIA; Region based classification; Remote sensing; Very high resolution image

Indexed keywords

DEEP LEARNING; NEURAL NETWORKS; PIXELS; REMOTE SENSING; SUPERPIXELS; VOTING MACHINES;

CLASSIFICATION ACCURACY; CONVOLUTIONAL NEURAL NETWORK; GEOBIA; GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS; LAND COVER CLASSIFICATION; REGION-BASED; SUPERPIXEL SEGMENTATIONS; VERY HIGH RESOLUTION (VHR) IMAGE;

IMAGE CLASSIFICATION;

EID: 85058871481     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10121946     Document Type: Article

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