Research on Smooth Edge Feature Recognition Method for Aerial Image Segmentation-Reference-Cited by-同舟云学术

Research on Smooth Edge Feature Recognition Method for Aerial Image Segmentation

Published:2022-11-05 Issue: Volume: Page:
ISSN:
Container-title:2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
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Author:

Wang Heng¹,Yuan Yanrong¹,Zhuang Chuangang¹,Shi Rui¹,Zhao Jiamei¹,Guo Xinyi¹,Tang Jintian²

Affiliation:

1. China Academy of Launch Vehicle Technology,Science and Technology on Space Physics Laboratory,Beijing,100076

2. Institute of Medical Physics and Engineering, Tsinghua University,Key Laboratory of Particle Technology and Radiation Imaging of Ministry of Education,Department of Engineering Physics,Beijing,China,100084

Funder

Beijing Municipal Science and Technology Commission

National Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9979807/9979817/09980141.pdf?arnumber=9980141

Reference16 articles.

1. Treesegnet: Adaptive tree cnns for subdecimeter aerial image segmentation[J];yue;ArXiv Preprint,2018

2. EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion

3. Cross-Platform Path Planning Dataset[C];aerial;Proceedings of the IEEE/CVF International Conference on Computer Vision,2021

4. Convolutional Neural Network-Based Transfer Learning for Optical Aerial Images Change Detection

5. MFCSNet: Multi-Scale Deep Features Fusion and Cost-Sensitive Loss Function Based Segmentation Network for Remote Sensing Images

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