Multiscale Location Attention Network for Building and Water Segmentation of Remote Sensing Image-Reference-Cited by-同舟云学术

Multiscale Location Attention Network for Building and Water Segmentation of Remote Sensing Image

Published:2023 Issue: Volume:61 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Dai Xin¹^ORCID,Xia Min¹^ORCID,Weng Liguo¹^ORCID,Hu Kai¹^ORCID,Lin Haifeng²^ORCID,Qian Ming³^ORCID

Affiliation:

1. Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China

2. College of Information Science and Technology, Nanjing Forestry University, Nanjing, China

3. State Key Laboratory LIESMARS, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of PR China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10126090.pdf?arnumber=10126090

Reference45 articles.

1. DFFAN: Dual Function Feature Aggregation Network for Semantic Segmentation of Land Cover

2. Multiscale Building Extraction With Refined Attention Pyramid Networks

3. MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover

4. GCCINet: Global feature capture and cross-layer information interaction network for building extraction from remote sensing imagery;feng;Int J Appl Earth Observ Geoinf,2022

5. MLNet: multichannel feature fusion lozenge network for land segmentation

Cited by 27 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. Large kernel convolution application for land cover change detection of remote sensing images;International Journal of Applied Earth Observation and Geoinformation;2024-08

2. Attention Guide Axial Sharing Mixed Attention (AGASMA) Network for Cloud Segmentation and Cloud Shadow Segmentation;Remote Sensing;2024-07-02

3. MFPANet: Multi-Scale Feature Perception and Aggregation Network for High-Resolution Snow Depth Estimation;Remote Sensing;2024-06-09

4. PLANES4LOD2: Reconstruction of LoD-2 building models using a depth attention-based fully convolutional neural network;ISPRS Journal of Photogrammetry and Remote Sensing;2024-05

5. Extraction of Water Bodies from High-Resolution Aerial and Satellite Images Using Visual Foundation Models;Sustainability;2024-04-03