Remote Sensing Change Detection With Transformers Trained From Scratch-Reference-Cited by-同舟云学术

Remote Sensing Change Detection With Transformers Trained From Scratch

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Noman Mubashir¹^ORCID,Fiaz Mustansar²^ORCID,Cholakkal Hisham¹^ORCID,Narayan Sanath³^ORCID,Muhammad Anwer Rao¹^ORCID,Khan Salman¹^ORCID,Shahbaz Khan Fahad¹^ORCID

Affiliation:

1. Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE

2. IBM Research, Dubai, UAE

3. Technology Innovation Institute, Abu Dhabi, UAE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10489990.pdf?arnumber=10489990

Reference49 articles.

1. Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities

2. Integrating remote sensing and geospatial big data for urban land use mapping: A review

3. Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah

4. Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions

5. Triplet-Based Semantic Relation Learning for Aerial Remote Sensing Image Change Detection

Cited by 9 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. Cross-temporal and spatial information fusion for multi-task building change detection using multi-temporal optical imagery;International Journal of Applied Earth Observation and Geoinformation;2024-08

2. ChangeBind: A Hybrid Change Encoder for Remote Sensing Change Detection;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Parameter and Data Efficient Framework for Lightweight Change Detection;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Edge-Guided Hierarchical Network for Building Change Detection in Remote Sensing Images;Applied Sciences;2024-06-21

5. Change Detection Based on Existing Vector Polygons and Up-to-Date Images Using an Attention-Based Multi-Scale ConvTransformer Network;Remote Sensing;2024-05-14