James Lee

Gao Yunhao

PhD Student

Contact Me

About Me

I received the B.S. degree and the M.S. degree from the College of Information Science and Engineering, Ocean University of China, Qingdao, China, in 2017 and 2020, headed by Feng Gao.I am currently pursuing the Ph.D. degree from the School of Information and Electronics, Beijing Institute of Technology, Beijing, China, headed by Wei Li.

My research interests include remote sensing image processing (e.g., change detection, multisource image classification) and computer vision.

Office: Room 505, Information Science Experiment Building, School of Information and Electronics
Address: NO 5 Yard, Southern Avenue, Zhongguan village, Haidian District, Beijing

Latest Projects

Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network

Yunhao Gao, Wei Li, Mengmeng Zhang, Jianbu Wang, Weiwei Sun, Ran Tao, Qian Du

project name
New

In this paper, the Deepwise Feature Interaction Network (DFINet) is proposed for wetland classification. A depthwise cross attention module is designed to extract self-correlation and cross-correlation from multisource feature pairs. In this way, meaningful complementary information is emphasized for classification. DFINet is optimized by coordinating consistency loss, discrimination loss, and classification loss. Accordingly, DFINet reaches the standard solution-space under the regularity of loss functions, while the spatial consistency and feature discrimination are preserved.

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Pulication

Relationship Learning From Multisource Images via Spatial-Spectral Perception Network

Yunhao Gao, Wei Li, Junjie Wang, Mengmeng Zhang, Ran Tao
IEEE Transactions on Image Processing , 2024.

PDF        Code@github

Hyperspectral Classification Using Heterologous Feature Alignment and Fusion

Yunhao Gao, Wei Li, Mengmeng Zhang, Ran Tao
Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2024.

PDF        Code@github

Cross-scale Mixing Attention for Multisource Remote Sensing Data Fusion and Classification

Yunhao Gao, Mengmeng Zhang, Junjie Wang, Wei Li
IEEE Transactions on Geoscience and Remote Sensing, 2023.

PDF        Code@github

Adversarial Complementary Learning for Multisource Remote Sensing Classification

Yunhao Gao, Mengmeng Zhang, Wei Li, Xiukai Song, Xiangyang Jiang, Yuanqing Ma
IEEE Transactions on Geoscience and Remote Sensing, 2023.

PDF        Code@github

Multisource Remote Sensing Classification for Coastal Wetland Using Feature Intersecting Learning

Zhen Han, Yunhao Gao*, Xiangyang Jiang, Jianbu Wang, Wei Li,
IEEE Geoscience and Remote Sensing Letters, 2022.

PDF        Code@github

Fusion Classification of HSI and MSI Using a Spatial-Spectral Vision Transformer for Wetland Biodiversity Estimation

Yunhao Gao, Xiukai Song, Wei Li, Jianbu Wang, Jianlong He, Xiangyang Jiang
Remote Sensing, 2022.

PDF        Code@github

Asymmetric Feature Fusion Network for Hyperspectral and SAR Image ClassificationESI high cited

Wei Li, Yunhao Gao*, Mengmeng Zhang, Ran Tao, Qian Du
IEEE Transactions on Neural Networks and Learning Systems, 2022.

PDF        Code@github

Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network

Yunhao Gao, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.

PDF        Code@github

Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network

Yunhao Gao, Wei Li, Mengmeng Zhang, Jianbu Wang
IEEE Transactions on Geoscience and Remote Sensing, 2021.

PDF        Code@github

Feature Exchange for Multisource Data Classification in Wetland Scene

Yunhao Gao, Wei Li, Mengmeng Zhang, Ran Tao
IEEE International Geoscience and Remote Sensing Symposium, 2021.

PDF         Code@github

SAR Image Change Detection based on Multiscale Capusule Network ESI high cited

Yunhao Gao, Feng Gao, Junyu Dong, Heng-Chao Li
IEEE Geoscience and Remote Sensing Letter, 2021.

PDF        Code@github

Change Detection from Synthetic Aperture Radar Images based on Channel Weighting-based Deep Cascade Network

Yunhao Gao, Feng Gao, Junyu Dong, Shengke Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020.

PDF         Code@github

Sea Ice Change Detection in SAR Images based on Convolutional-wavelet Neural Networks

Feng Gao, Xiao Wang, Yunhao Gao, Junyu Dong, Shengke Wang
IEEE Geoscience and Remote Sensing Letter, 2020.

PDF         Code@github

Transferred Deep Learning for Sea Ice Change Detection from Synthetic Aperture Radar Images

Yunhao Gao, Feng Gao, Junyu Dong, Shengke Wang
IEEE Geoscience and Remote Sensing Letter, 2019.

PDF         Code@github

Sea Ice Change Detection in SAR Images based on Collaborative Representation

Yunhao Gao, Feng Gao, Junyu Dong, Shengke Wang
IEEE International Geoscience and Remote Sensing Symposium, 2018.

PDF         Code@github

More Codes

Project & Competition

1. 国家自然科学基金项目 “基于夜光遥感的黄东海渔业监测及其时空动态研究” - 技术骨干 (2017 - 2019)

完成遥感图像变化检测的研究工作，设计并实现基于卷积神经网络的遥感图像变化检测算法。参与项目实施方案的制定，首次将迁移学习引入遥感图像海冰分析。

2. 中国海洋大学计算机系优秀研究生发展基金 “面向应急响应的在轨数据处理技术 ” - 项目负责人 (2018 - 2018)

设计基于协同表示的遥感图像变化检测算法，并负责编码实现。

3. CCF 大数据与计算智能大赛 “复杂海情和气象条件下的船只识别 ”赛题 - 复赛获 TOP2% 8/359 (2017.12)

4. 第九届”华为杯“ 中国大学生智能设计竞赛 - 二等奖 (2019.08)

5. ChinaMM 2019 水下图像增强竞赛 - 三等奖 (2019.08)