Semantic edge-guided object segmentation from high-resolution remotely sensed imagery-Reference-Cited by-同舟云学术

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Semantic edge-guided object segmentation from high-resolution remotely sensed imagery

Published:2021-11-14 Issue:24 Volume:42 Page:9442-9466
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Xia Liegang¹,Luo Jiancheng²,Zhang Junxia¹,Zhu Zhiwen³,Gao Lijing²,Yang Haiping¹

Affiliation:

1. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China

2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. Flash Array Business Unit, Pure Storage, Inc, Mountain View, CA, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1998716

Reference50 articles.

1. Contour Detection and Hierarchical Image Segmentation

2. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information

3. Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks

4. Object based image analysis for remote sensing

5. A Computational Approach to Edge Detection

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semantic Image Segmentation Based on Superpixel-Pooling DCNN With Random Walks on Graph and Application to Intrusion Detection of Railway;IEEE Access;2024

2. Enhanced Semantic Information Transfer of Multi-Domain Samples: An Adversarial Edge Detection Method Using Few High-Resolution Remote Sensing Images;Sensors;2022-07-29

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