Joint Learning of Semantic Segmentation and Height Estimation for Remote Sensing Image Leveraging Contrastive Learning

Author:

Gao Zhi1ORCID,Sun Wenbo1ORCID,Lu Yao2,Zhang Yichen1,Song Weiwei3,Zhang Yongjun1ORCID,Zhai Ruifang4

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. Beijing Institute of Remote Sensing, Beijing, China

3. Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China

4. Department of Computer Science, School of Informatics, Huazhong Agricultural University, Wuhan, China

Funder

National Natural Science Foundation of China

Hubei Province Natural Science Foundation

Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 6 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. Leveraging Knowledge Distillation for Partial Multi-Task Learning from Multiple Remote Sensing Datasets;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. SIRS: Multitask Joint Learning for Remote Sensing Foreground-Entity Image–Text Retrieval;IEEE Transactions on Geoscience and Remote Sensing;2024

3. PDD: Post-Disaster Dataset for Human Detection and Performance Evaluation;IEEE Transactions on Instrumentation and Measurement;2024

4. CMLFormer: CNN and Multiscale Local-Context Transformer Network for Remote Sensing Images Semantic Segmentation;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. Weakly Supervised 3-D Building Reconstruction From Monocular Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2024

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