Dual Part Siamese Attention Convolution Network for Change detection in Bi-temporal High Resolution Remote Sensing Images-Reference-Cited by-同舟云学术

Dual Part Siamese Attention Convolution Network for Change detection in Bi-temporal High Resolution Remote Sensing Images

Published:2024-02-02 Issue: Volume: Page:298-303
ISSN:
Container-title:Proceedings of the 2024 16th International Conference on Machine Learning and Computing
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Author:

Li Zongpu¹^ORCID,Bao Tengfei²^ORCID,Xiao Zhiyun¹^ORCID

Affiliation:

1. Automation Department of Electric Power College, Inner Mongolia University of Technology, China

2. Automation Department of Electric Power College, Inner Mongolia University of Technology, China and Shanghai Jiao Tong University, China

Funder

the National Key Research and Development Program of China

the Natural Science Foundation of Inner Mongolia Autonomous Region

the Innovation and Entrepreneurship Training Programme for Students in Inner Mongolia Autonomous Region

the National Science and Technology Major Project

the Inner Mongolia University of Technology Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3651671.3651720

Reference15 articles.

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3. A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

4. Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning

5. Meng Lingfei Kerekes J P. "Object Tracking Using High Resolution Satellite Imagery[J]." IEEE Journal of Selected Topics In Applied Earth Observations And Remote Sensing 5.1(2012):146-152.