A boundary enhancement loss function for semantic segmentation of land cover-Reference-Cited by-同舟云学术

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A boundary enhancement loss function for semantic segmentation of land cover

Published:2023-06-18 Issue:12 Volume:44 Page:3637-3659
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Wang Jin¹^ORCID,Ding Ning²^ORCID,He Guangjun³

Affiliation:

1. Aliyun School of Big Data, Changzhou University, Changzhou, China

2. School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China

3. State Key Laboratory of Space-Ground Integrated Information Technology, Space Star Technology Corporation Limited, Beijing, China

Funder

National Natural Science Foundation of China

Changzhou Municipal Science and Technology Bureau, China

scientific research foundation of Changzhou University

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2224101

Reference51 articles.

1. Learning from Imbalanced Data Sets with Weighted Cross-Entropy Function

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

3. Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

4. Classification of hyperspectral data from urban areas based on extended morphological profiles

Cited by 1 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. An encoder–decoder network for land cover classification using a fusion of aerial images and photogrammetric point clouds;Survey Review;2024-04-09

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