A landslide extraction method of channel attention mechanism U-Net network based on Sentinel-2A remote sensing images-Reference-Cited by-同舟云学术

A landslide extraction method of channel attention mechanism U-Net network based on Sentinel-2A remote sensing images

Published:2023-03 Issue:1 Volume:16 Page:552-577
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Chen Hesheng¹²³,He Yi¹²³,Zhang Lifeng¹²³,Yao Sheng¹²³,Yang Wang¹²³,Fang Yumin¹²³,Liu Yaoxiang¹²³,Gao Binghai¹²³

Affiliation:

1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, People’s Republic of China

2. National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou, People’s Republic of China

3. Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, People’s Republic of China

Funder

Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural Resources

the National Natural Scientiﬁc Foundation of China

Central Government to Guide Local Scientific and Technological Development

Tianyou Youth Talent Lift Program of Lanzhou Jiaotong University

Young Doctoral Fund Project of Higher Education Institutions in Gansu Province

State Key Laboratory of Geo-Information Engineering

Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR, CASM

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2177359

Reference56 articles.

1. Integrating semantic edges and segmentation information for building extraction from aerial images using UNet

2. Object-Based Image Analysis and Digital Terrain Analysis for Locating Landslides in the Urmia Lake Basin, Iran

3. Convolutional neural networks applied to semantic segmentation of landslide scars

4. Object-Oriented Landslide Mapping Using ZY-3 Satellite Imagery, Random Forest and Mathematical Morphology, for the Three-Gorges Reservoir, China

Cited by 15 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. GDSNet: A gated dual-stream convolutional neural network for automatic recognition of coseismic landslides;International Journal of Applied Earth Observation and Geoinformation;2024-03

2. LSTM time series NDVI prediction method incorporating climate elements: A case study of Yellow River Basin, China;Journal of Hydrology;2024-02

3. Intelligent Reconstruction of Radar Composite Reflectivity Based on Satellite Observations and Deep Learning;Remote Sensing;2024-01-10

4. A multiscale feature fusion enhanced CNN with the multiscale channel attention mechanism for efficient landslide detection (MS2LandsNet) using medium-resolution remote sensing data;International Journal of Digital Earth;2024-01-04

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