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Multi-Resolution Learning and Semantic Edge Enhancement for Super-Resolution Semantic Segmentation of Urban Scene Images.

• Authors : Shu, Ruijun^1,2 (AUTHOR) ; Zhao, Shengjie^1,3 (AUTHOR)

• Source: Sensors (14248220). Jul2024, Vol. 24 Issue 14, p4522. 14p.

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National-scale mapping of building footprints using feature super-resolution semantic segmentation of Sentinel-2 images

• Authors : Lin Feng; Penglei Xu; Hong Tang

Subjects: building footprints; super-resolution semantic segmentation; single building

• Source: GIScience & Remote Sensing, Vol 60, Iss 1 (2023)

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DSRSS-Net: Improved-Resolution Snow Cover Mapping from FY-4A Satellite Images Using the Dual-Branch Super-Resolution Semantic Segmentation Network.

• Authors : Kan, Xi¹ (AUTHOR) ; Lu, Zhengsong² (AUTHOR) ; Zhang, Yonghong^1,2 (AUTHOR)

• Source: Remote Sensing. Sep2023, Vol. 15 Issue 18, p4431. 17p.

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ESPC_NASUnet: An End-to-End Super-Resolution Semantic Segmentation Network for Mapping Buildings From Remote Sensing Images

• Authors : Penglei Xu; Hong Tang; Jiayi Ge

Subjects: Building extraction; end-to-end network; remote sensing

• Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5421-5435 (2021)

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Super-Resolution Semantic Segmentation of Droplet Deposition Image for Low-Cost Spraying Measurement

• Authors : Jian Liu; Shihui Yu; Xuemei Liu

Subjects: droplet deposition measurement; image processing; super-resolution

• Source: Agriculture, Vol 14, Iss 1, p 106 (2024)

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FSRSS-Net: High-Resolution Mapping of Buildings from Middle-Resolution Satellite Images Using a Super-Resolution Semantic Segmentation Network

• Authors : Tao Zhang; Hong Tang; Yi Ding

Subjects: satellite mapping of buildings; Sentinel-2A images; super-resolution semantic segmentation

• Source: Remote Sensing, Vol 13, Iss 12, p 2290 (2021)

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ESPC_NASUnet: An End-to-End Super-Resolution Semantic Segmentation Network for Mapping Buildings From Remote Sensing Images

• Authors : Lin Feng; Jiayi Ge; Penglei Xu

Subjects: Atmospheric Science; Ground truth; super-resolution semantic segmentation (SRSS)

• Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5421-5435 (2021)

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ESPC_NASUnet: An End-to-End Super-Resolution Semantic Segmentation Network for Mapping Buildings From Remote Sensing Images

• Authors : Xu, Penglei; Tang, Hong; Ge, Jiayi ...

• Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ; volume 14, page 5421-5435 ; ISSN 1939-1404 2151-1535

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FSRSS-Net: High-Resolution Mapping of Buildings from Middle-Resolution Satellite Images Using a Super-Resolution Semantic Segmentation Network.

• Authors : Zhang, Tao; Tang, Hong; Ding, Yi

Subjects: REMOTE-sensing images; HIGH resolution imaging; URBAN renewalCHINA

• Source: Remote Sensing; Jun2021, Vol. 13 Issue 12, p2290, 1p

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