Semantic segmentation of building extraction in very high resolution imagery via optimal segmentation guided by deep seeds-Reference-Cited by-同舟云学术

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Semantic segmentation of building extraction in very high resolution imagery via optimal segmentation guided by deep seeds

Published:2022-05-19 Issue:02 Volume:16 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Moghalles Khaled¹,Li Heng-Chao¹,Al-Huda Zaid²,Abdullah Essa³

Affiliation:

1. Southwest Jiaotong University, School of Information Science and Technology, Chengdu, Sichuan

2. Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu, Sichuan

3. Taibah University, College of Computer Science and Engineering, Department of Information Systems, M

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 3 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. A deep learning method for optimizing semantic segmentation accuracy of remote sensing images based on improved UNet;Scientific Reports;2023-05-10

2. Weakly supervised skin lesion segmentation based on spot‐seeds guided optimal regions;IET Image Processing;2022-09-27

3. Weakly supervised building semantic segmentation via superpixel‐CRF with initial deep seeds guiding;IET Image Processing;2022-06-25

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