Edge Feature Enhancement for Fine-Grained Segmentation of Remote Sensing Images-Reference-Cited by-同舟云学术

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Edge Feature Enhancement for Fine-Grained Segmentation of Remote Sensing Images

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Zhenxiang¹^ORCID,Xu Tingfa¹^ORCID,Pan Yongzhuo²,Shen Ning¹^ORCID,Chen Huan¹^ORCID,Li Jianan¹^ORCID

Affiliation:

1. Beijing Institute of Technology, Beijing, China

2. Chongqing Institute of Geology and Mineral Resources, Chongqing, China

Funder

National Natural Science Foundation of China

Young Elite Scientist Sponsorship Program of China Association for Science and Technology

Young Elite Scientist Sponsorship Program of Beijing Association for Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10636209.pdf?arnumber=10636209

Reference39 articles.

1. GCN-Based Semantic Segmentation Method for Mine Information Extraction in GAOFEN-1 Imagery

2. Open-Pit Mine Extraction from Very High-Resolution Remote Sensing Images Using OM-DeepLab

3. Open-pit Mining Area Segmentation of Remote Sensing Images Based on DUSegNet

4. Anti-UAV410: A Thermal Infrared Benchmark and Customized Scheme for Tracking Drones in the Wild

5. DMSSN: Distilled Mixed Spectral–Spatial Network for Hyperspectral Salient Object Detection

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