Dual-Path Feature Fusion Network for Semantic Segmentation of Remote Sensing Images-Reference-Cited by-同舟云学术

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Dual-Path Feature Fusion Network for Semantic Segmentation of Remote Sensing Images

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Li Boyang¹^ORCID,Zhang Yu¹^ORCID,Zhang Youmei¹^ORCID,Li Bin¹,Li Zhenhao¹

Affiliation:

1. School of Mathematics and Statistics, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

Funder

Natural Science Foundation of Shandong Province

Colleges and Universities Twenty Terms Foundation of Jinan City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10534270.pdf?arnumber=10534270

Reference23 articles.

1. MS-RRFSegNet: Multiscale Regional Relation Feature Segmentation Network for Semantic Segmentation of Urban Scene Point Clouds

2. Crop Row Segmentation and Detection in Paddy Fields Based on Treble-Classification Otsu and Double-Dimensional Clustering Method

3. Using Aerial Imagery and GIS in Automated Building Footprint Extraction and Shape Recognition for Earthquake Risk Assessment of Urban Inventories

4. Fully convolutional networks for semantic segmentation

5. U-Net: Convolutional Networks for Biomedical Image Segmentation

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