DSFA: cross-scene domain style and feature adaptation for landslide detection from high spatial resolution images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

DSFA: cross-scene domain style and feature adaptation for landslide detection from high spatial resolution images

Published:2023-06-30 Issue:1 Volume:16 Page:2426-2447
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Li Penglei¹,Wang Yi¹^ORCID,Si Tongzhen²,Ullah Kashif¹,Han Wei³,Wang Lizhe³

Affiliation:

1. School of Geophysics and Geomatics, China University of Geosciences, Wuhan, People’s Republic of China

2. School of Computer Science, Wuhan University, Wuhan, People’s Republic of China

3. School of Computer Science, China University of Geosciences, Wuhan, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2229794

Reference69 articles.

1. Landslide mapping using object-based image analysis and open source tools

2. Deep learning-based landslide susceptibility mapping

3. Style Transfer Functions for Illustrative Volume Rendering

4. Introduction for the Special Issue on Remote Sensing for Major Disaster Prevention, Monitoring, and Assessment

5. Assessing landslide characteristics in a changing climate in northern Taiwan

Cited by 7 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. Landslide Detection Using the Unsupervised Domain-Adaptive Image Segmentation Method;Land;2024-06-26

2. An improved method for rapid un-collapsed building extraction from post-disaster high-resolution remote sensing imagery based on multi-scale feature alignment;International Journal of Digital Earth;2024-04-26

3. UnifiedSC: a unified framework via collaborative optimization for multi-task person re-identification;Applied Intelligence;2024-02

4. Unsupervised Landslide Detection From Multitemporal High-Resolution Images Based on Progressive Label Upgradation and Cross-Temporal Style Adaption;IEEE Transactions on Geoscience and Remote Sensing;2024

5. MFFSP: Multi-scale feature fusion scene parsing network for landslides detection based on high-resolution satellite images;Engineering Applications of Artificial Intelligence;2024-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3