Dense Semantic Labeling with Atrous Spatial Pyramid Pooling and Decoder for High-Resolution Remote Sensing Imagery

Dense Semantic Labeling with Atrous Spatial Pyramid Pooling and Decoder for High-Resolution Remote Sensing Imagery

Dense semantic labeling is significant in high-resolution remote sensing imagery research and it has been widely used in land-use analysis and environment protection. With the recent success of fully convolutional networks (FCN), various types of network architectures have largely improved performan...

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Bibliographic Details
Main Authors: Yuhao Wang, Binxiu Liang, Meng Ding, Jiangyun Li
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Remote Sensing
Subjects:
remote sensing imagery
dense semantic labeling
fully convolutional networks
atrous spatial pyramid pooling
encoder-decoder
superpixel-based DenseCRF
Online Access:http://www.mdpi.com/2072-4292/11/1/20

Internet

http://www.mdpi.com/2072-4292/11/1/20

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