Detection and segmentation of loess landslides via satellite images: a two-phase framework
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology
Link
https://link.springer.com/content/pdf/10.1007/s10346-021-01789-0.pdf
Reference39 articles.
1. Donati N, Sharma A, Ovsjanikov M (2020) Deep geometric functional maps: robust feature learning for shape correspondence. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 8592–8601)
2. Fan X, Scaringi G, Korup O, West AJ, van Westen CJ, Tanyas H, Huang R (2019) Earthquake induced chains of geologic hazards: patterns, mechanisms, and impacts. Rev Geophys 57(2):421–503
3. Feng W, Sui H, Huang W, Xu C, An K (2018) Water body extraction from very high-resolution remote sensing imagery using deep U-Net and a superpixel-based conditional random field model. IEEE Geosci Remote Sens Lett 16(4):618–622
4. Ghimire S, Deo RC, Raj N, Mi J (2019) Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms. Appl Energy 253, 113541
5. Girshick R, Donahue J, Darrell T, Malik J (2015) Region-based convolutional networks for accurate object detection and segmentation. IEEE Trans Pattern Anal Mach Intell 38(1):142–158
Cited by 109 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. Refined Intelligent Landslide Identification Based on Multi-Source Information Fusion;Remote Sensing;2024-08-23
2. Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review;Remote Sensing;2024-08-12
3. LandslideSegNet: an effective deep learning network for landslide segmentation using remote sensing imagery;Earth Science Informatics;2024-08-09
4. ETGC2-net: an enhanced transformer and graph convolution combined network for landslide detection;Natural Hazards;2024-07-26
5. A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion;Applied Soft Computing;2024-06
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