Fine Building Segmentation in High-Resolution SAR Images Via Selective Pyramid Dilated Network

Fine Building Segmentation in High-Resolution SAR Images Via Selective Pyramid Dilated Network

The building extraction from synthetic aperture radar (SAR) images has always been a challenging research topic. Recently, the deep convolution neural network brings excellent improvements in SAR segmentation. The fully convolutional network and other variants are widely transferred to the SAR studi...

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Bibliographic Details
Main Authors: Hao Jing, Xian Sun, Zhirui Wang, Kaiqiang Chen, Wenhui Diao, Kun Fu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Automatic fine segmentation of buildings
L-shape weighting loss (LWloss)
selective spatial pyramid dilated (SSPD) network
synthetic aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/9416747/

Internet

https://ieeexplore.ieee.org/document/9416747/

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