CAL-Net: Conditional Attention Lightweight Network for In-Orbit Landslide Detection-Reference-Cited by-同舟云学术

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CAL-Net: Conditional Attention Lightweight Network for In-Orbit Landslide Detection

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Fu Yibin¹^ORCID,Li Weiming¹^ORCID,Fan Shuaishuai¹^ORCID,Jiang Yonghua²^ORCID,Bai Hongyang³

Affiliation:

1. School of Information and Electronic Engineering, Shandong Technology and Business University (SDTBU), Yantai, China

2. School of Remote Sensing and Information Engineering, Wuhan University (WHU), Wuhan, China

3. School of Energy and Power Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10271322.pdf?arnumber=10271322

Reference70 articles.

1. Multiscale Attention Network Guided With Change Gradient Image for Land Cover Change Detection Using Remote Sensing Images

2. Densely Connected Convolutional Networks

3. Fast Seismic Landslide Detection Based on Improved Mask R-CNN

4. Searching for MobileNetV3

5. Landslide Inventory Mapping on VHR Images via Adaptive Region Shape Similarity

Cited by 5 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. Robust Landslide Recognition Using UAV Datasets: A Case Study in Baihetan Reservoir;Remote Sensing;2024-07-12

2. 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

3. Spatial–Spectral Similarity Based on Adaptive Region for Landslide Inventory Mapping With Remote-Sensed Images;IEEE Transactions on Geoscience and Remote Sensing;2024

4. CGGLNet: Semantic Segmentation Network for Remote Sensing Images Based on Category-Guided Global–Local Feature Interaction;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Deep Evidential Remote Sensing Landslide Image Classification With a New Divergence, Multiscale Saliency and an Improved Three-Branched Fusion;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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