Dense Semantic Labeling with Atrous Spatial Pyramid Pooling and Decoder for High-Resolution Remote Sensing Imagery
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Title
Dense Semantic Labeling with Atrous Spatial Pyramid Pooling and Decoder for High-Resolution Remote Sensing Imagery
Authors
Keywords
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Journal
Remote Sensing
Volume 11, Issue 1, Pages 20
Publisher
MDPI AG
Online
2018-12-24
DOI
10.3390/rs11010020
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- (2008) Herbert Bay et al. COMPUTER VISION AND IMAGE UNDERSTANDING
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