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期刊论文

2024年

Zhou, W.^*, Liu, J., Huang, X., & Guan, H. Monitoring scene-level land use changes with similarity-assisted change detection network. International Journal of Remote Sensing, 2024：1-28.（SCI检索）
Liu, J., Zhou, W.^*, Guan, H., Zhao, W. Similarity Learning for Land Use Scene-Level Change Detection [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 6501-6513.（SCI检索）
Zhou, W.^* Shi, Y., Huang, X. Multi-View Scene Classification Based on Feature Integration and Evidence Decision Fusion [J]. Remote Sensing. 2024, 16(5):738. （SCI检索）
周维勋^*, 刘京雷, 彭代锋, 管海燕, 邵振峰. MtSCCD: 面向深度学习的土地利用场景分类与变化检测数据集[J].遥感学报，2024, 28(2): 321-333（EI检索）
时永欣, 周维勋^*, 邵振峰. 融合多尺度注意力的多视角遥感影像场景分类[J]. 武汉大学学报 (信息科学版), 2024, 49(3): 366-375.（EI检索）

2023年

Zhou, W.^*, Guan, H., Li, Z., Shao, Z., Delavar, M. R. Remote Sensing Image Retrieval in the Past Decade: Achievements, Challenges, and Future Directions [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 1447-1473.（SCI检索）
周维勋^*. 基于深度学习特征的遥感影像检索研究[J]. 测绘学报, 2023, 52(1): 167-167. （EI检索，博士论文摘要）
李子彧, 周维勋^*, 耿万轩. 联合类别筛选与重排序的交叉视角图像地理定位[J]. 测绘通报, 2023, 0(2): 40-45. （中文核心）

2022年

Duan, W., Jin, S., Zhou, W. Land–Snow–Waterbody 2-Endmember-Mixed-Pixel Effect on the Measurement Error of the Moon-Based Earth Radiation Observatory [J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5. （SCI检索）
Geng, W., Zhou, W.^*, Jin, S. Multi-View Urban Scene Classification with a Complementary-Information Learning Model [J]. Photogrammetric Engineering & Remote Sensing, 2022, 88(1):65-72.（SCI检索）
黄宇鸿, 周维勋. 高分辨率遥感影像场景变化检测的相似度方法[J]. 测绘通报, 2022, 0(8): 48-53. （中文核心）

2021年

耿万轩,周维勋^*,金双根.基于LDCNN特征提取的多核SVM高分辨率遥感影像场景分类[J].测绘通报, 2021, 0(8): 14-21.（中文核心）

2020年

Shao, Z., Zhou, W.^*, Deng, X., Zhang, M., & Cheng, Q. Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, 318-328.（SCI检索，ESI高被引论文）

2019年

2018年

Zhou, W., Newsam, S., Li, C., & Shao, Z. PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 145, 197-209. (SCI检索, ESI高被引论文)
Shao, Z., Yang, K., Zhou, W^*. Performance Evaluation of Single-Label and Multi-Label Remote Sensing Image Retrieval Using a Dense Labeling Dataset [J]. Remote Sensing, 2018, 10(6), 964. (SCI检索)

2017年

Zhou, W., Newsam, S., Li, C., & Shao, Z. Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval [J]. Remote Sensing, 2017, 9(5), 489. (SCI检索, ESI高被引论文)

2016年

2015年

Zhou, W., Shao, Z., Diao, C., & Cheng, Q. High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder[J]. Remote Sensing Letters, 2015, 6(10), 775-783. (SCI检索)
Shao, Z., Zhou, W.^*, Cheng, Q., Diao, C., & Zhang, L. An effective hyperspectral image retrieval method using integrated spectral and textural features[J]. Sensor Review, 2015, 35(3), 27481. (SCI检索)
周维勋, 邵振峰, 侯继虎. 利用视觉注意模型和局部特征的遥感影像检索方法[J]. 武汉大学学报: 信息科学版, 2015, 40(1), 46-52.（EI检索）
周维勋, 邵振峰. 一种改进低层特征算子的遥感影像检索方法[J]. 测绘科学, 2015, 40(3), 91-95.（中文核心）

2014年

Shao, Z., Zhou, W.^*, Zhang, L., & Hou, J. Improved color texture descriptors for remote sensing image retrieval[J]. Journal of Applied Remote Sensing, 2014, 8(1), 083584. (SCI检索)

Geng, W., Zhou, W.^*, & Jin, S. Feature Fusion for Cross-Modal Scene Classification of Remote Sensing Image. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021. （EI检索）
Zhou, W., Shao, Z., & Cheng, Q. Deep feature representations for high-resolution remote sensing scene classification. 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 2016.（EI检索）
Shao, Z., Zhou, W.^*, & Cheng, Q. Remote Sensing Image Retrieval with Combined Features of Salient Region. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014.（EI检索）
Wang, Y., Shao Z., Zhang L., Zhou W. A modified SUnSAL-TV algorithm for hyperspectral unmixing based on spatial homogeneity analysis. IOP Conference Series: Earth and Environmental Science, 2014.（EI检索）