管昉立

[1] 街景与实景保真映射的行人个性化视觉增强导航方法，主持(国家自然科学基金青年项目)

[2] 基于多视角推理与稀疏表示学习的视觉引导信息至实景空间配准与映射方法，主持(浙江省自然科学基金青年项目)

[3] 基于多模态地理空间数据融合的道路安全风险评估方法研究，主持(国家重点实验室开放基金项目，2024-2026)

[4] 街景多模态数据融合的实景三维建模与感知研究，主持(省重点实验室开放基金重点项目，2024-2026)

[5] 基于显著地标带的城市街景环境行人相对导航方法，参与(国家自然科学基金委面上项目，2018-2022) 

[6] 海洋数据采集与时空融合技术研究，参与(国家重点研发计划，2018-2021)

[7] 基于智能手机的立木树高和胸径测量方法，参与(国家自然科学基金面上项目，2015-2018)

[8] “Modelling street-level urban sunlight and greenery for healthcare and mobility studies”，参与(比利时政府资助项目UGent BOF，2021-2023)

[9] “Adaptive Cartography for Human-Centered Location Based Services"，参与(比利时政府资助项目UGent BOF，2020-2023)

Selected publications.

[1] Fangli Guan, Nan Zhao, Haocheng Wang, Zhixiang Fang, Jianhui Zhang, Ling Jiang*, Yue Yu, Haosheng Huang.Transformer Framework with Gradient-Aware Weighting Feature Alignment for Robust Cross-View Geo-Localization[J]. Information Fusion. 2025. (中科院一区Top, IF: 15.5)

[2] Fangli Guan, Zhixiang Fang*, Lubin Wang, Haoyu Zhong, Haosheng Huang*. Modelling people’s perceived scene complexity of real-world environments using street-view panoramas and open geodata[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 186: 315-331. (中科院一区Top, IF: 12.7)

[3] Fangli Guan, Zhixiang Fang*, Xucai Zhang, Haoyu Zhong, Jianhui Zhang, Haosheng Huang*. Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation[J]. Computers, Environment and Urban Systems, 2023, 103: 101975. (中科院一区Top, IF: 7.1)

[4] Fangli Guan, Kexin Tang, Jianhui Zhang, Sheng Bao, Liang Chen, Ruizhi Chen, Yue Yu*. Autonomous wireless positioning system using crowdsourced Wi-Fi fingerprinting and self-detected FTM stations[J]. Expert Systems with Applications, 2024, 255: 124566. (中科院一区Top, IF: 8.5)

[5] Fangli Guan, Nan Zhao, Zhixiang Fang, Ling Jiang, Jianhui Zhang, Yue Yu*, Haosheng Huang*. Multi-Level Representation Learning via ConvNeXt-Based Network For Unaligned Cross-View Matching[J]. Geo-spatial Information Science. 2025. (中科院一区)

[6] Fangli Guan, Zhixiang Fang*, Tao Yu, Mingxiang Feng, Fan Yang. Detecting visually salient scene areas and deriving their relative spatial relations from continuous street-view panoramas[J]. International Journal of Digital Earth, 2020, 13(12): 1504-1531. (中科院一区)

Publications.

[1] Guan, F., Zhao, N., Fang, Z., Jiang, L., Zhang, J., Yu, Y., & Huang, H. (2025). Multi-level representation learning via ConvNeXt-based network for unaligned cross-view matching. Geo-Spatial Information Science, 1–14. 

[2] Feng, W., Guan, F., Tu, J., & Xu, W. (2025). UV-AdaptFormer: adapting the segment anything model for urban village identification from high-resolution satellite imagery. Remote Sensing Letters, 16(6), 573-583.

[3] Feng, W., Guan, F., Tu, J., & Xu, W. (2025). BuildingSAM: A Dual-Branch Feature-Augmented Segment Anything Model for Remote Sensing Building Extraction. IEEE Geoscience and Remote Sensing Letters.

[4] Guan, F., Tang, K., Zhang, J., Bao, S., Chen, L., Chen, R., & Yu, Y. (2024). Autonomous wireless positioning system using crowdsourced Wi-Fi fingerprinting and self-detected FTM stations. Expert Systems with Applications, 255, 124566.

[5] Guan, F., Liu, J., Zhang, J., Yan, L., & Jiang, L. (2024). Planar Reconstruction of Indoor Scenes from Sparse Views and Relative Camera Poses. Remote Sensing, 16(9), 1616.

[6] Guan, F., Guan, Z., Zhang, J., Fang, Z., & Huang, H. (2024) Interactive effects of urban built environment on street crime risk: a multimodal data and lightweight machine learning combined approach. AsiaCarto2024, 2024.

[7] Feng, W., Guan, F., Tu, J., Sun, C., & Xu, W. (2024). Water-Adapter: adapting the segment anything model for surface water extraction in optical very-high-resolution remotely sensed imagery. Remote Sensing Letters, 15(11), 1132-1142.

[8] Feng, W., Guan, F., Sun, C., & Xu, W. (2024). Road-sam: Adapting the segment anything model to road extraction from large very-high-resolution optical remote sensing images. IEEE Geoscience and Remote Sensing Letters, 21, 1-5.

[9] Feng, W., Guan, F., Sun, C., & Xu, W. (2024). Feature-Differencing-Based Self-Supervised Pre-Training for Land-Use/Land-Cover Change Detection in High-Resolution Remote Sensing Images. Land, 13(7), 927.

[10] Feng, W., Guan, F., Sun, C., & Xu, W. (2024). Cross-modal change detection flood extraction based on self-supervised contrastive pre-training. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, 75-82.

[11] Chen, G+., Guan, F*., & Zhang, J. (2024, October). Enhanced YOLOv8 by integrating MSFF and MSAFM for UAV-Perspective Small Object Detection. In 2024 International Conference on Cyberworlds (CW) (pp. 332-333). IEEE.

[12] Hu, Z+., Wang, H., Rong, X., Zhang, D., Xu, Z., & Guan, F*. (2024, October). Integrating Depth-Anything-V2 Depth Estimation and Sobel Operator Matrix for UAV Landing-site detection. In 2024 International Conference on Cyberworlds (CW) (pp. 342-343). IEEE.

[13] Zhao, N+., Wang, H., Zhang, D., Rong, X., & Guan, F*. (2024, October). A ConvNeXt-based Spatial-Enhanced Attention and Convolution Combination for Cross-View Geo-Localization. In 2024 International Conference on Cyberworlds (CW) (pp. 387-388). IEEE.

[14] Guan, F., Fang, Z., Zhang, X., Zhong, H., Zhang, J., & Huang, H. (2023). Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation. Computers, Environment and Urban Systems, 103, 101975.

[15] Wei, X., Guan, F., Zhang, X., Van de Weghe, N., & Huang, H. (2023). Integrating planar and vertical environmental features for modelling land surface temperature based on street view images and land cover data. Building and Environment, 235, 110231.

[16] Feng, W., Guan, F., Tu, J., Sun, C., & Xu, W. (2023). Detection of Changes in Buildings in Remote Sensing Images via Self-Supervised Contrastive Pre-Training and Historical Geographic Information System Vector Maps. Remote Sensing, 15(24), 5670.

[17] Zhang, X., Liu, X., Chen, K., Guan, F., Luo, M., & Huang, H. (2023). Inferring building function: A novel geo-aware neural network supporting building-level function classification. Sustainable Cities and Society, 89, 104349.

[18] Guan, F., Fang, Z., Wang, L., Zhang, X., Zhong, H., & Huang, H. (2022). Modelling people’s perceived scene complexity of real-world environments using street-view panoramas and open geodata. ISPRS Journal of Photogrammetry and Remote Sensing, 186, 315-331.

[19] Guan, F., Fang, Z., Huang, H. (2022) A novel framework for modelling people’s perceived scene complexity of navigation environments based on street-level imagery and open geodata. Abstracts of the ICA, 2022, 5: 1-2.

[20] Zhang, X., Sun, Y., Guan, F., Chen, K., Witlox, F., & Huang, H. (2022). Forecasting the crowd: An effective and efficient neural network for citywide crowd information prediction at a fine spatio-temporal scale. Transportation Research Part C: Emerging Technologies, 143, 103854.

[21] Fang, Z., Wang, L., Yang, F., & Guan, F. (2022). Landmark selection preferences of young students under orientation task within street environment. Journal of Location Based Services, 16(4), 245-287.

[22] Guan, F., Fang, Z., Huang, H. (2021) Characterization and modeling of the decision-making complexity for navigation road intersections. 16th International Conference on Location Based Services. 2021: 5-9.

[23] XU, H., WANG, L., FANG, Z., HE, M., HOU, X., ZUO, L., ... & NADIRE, A. (2021). Street-Facing Architectural Image Mapping and Architectural Style Map Generation Method Using Street View Images. Geomatics and Information Science of Wuhan University, 46(5), 659-671.

[24] 方志祥, 姜宇昕, & 管昉立. (2021). 融合可视与不可视地标的行人相对定位方法. 武汉大学学报 (信息科学版), 46(5), 601-609.

[25] Guan, F., Fang, Z., Yu, T., Feng, M., & Yang, F. (2020). Detecting visually salient scene areas and deriving their relative spatial relations from continuous street-view panoramas. International Journal of Digital Earth, 13(12), 1504–1531. https://doi.org/10.1080/17538947.2020.1731618

[26] Fang, Z., Yang, F., Guan, F., Feng, M., & Jiang, Y. (2020). A data model for organizing relative semantics as images to support pedestrian navigation computations. Transactions in GIS, 24(6), 1655-1680.

[27] Wu, X. M., Guan, F. L., & Xu, A. J. (2020). Passive ranging based on planar homography in a monocular vision system. Journal of Information Processing Systems, 16(1), 155-170.

[28] Yang, F., Fang, Z., & Guan, F. (2020, October). What Do We Actually Need During Self-localization in an Augmented Environment?. In International symposium on web and wireless geographical information systems (pp. 24-32). Cham: Springer International Publishing.

[29] 管昉立, & 徐爱俊. (2019). 移动端视觉测量系统的相机快速标定方法. 测绘科学, 44(2), 128-135.

[30] 管昉立, & 徐爱俊*. (2018). 基于智能手机与机器视觉技术的立木胸径测量方法. 浙江农林大学学报, 35(05): 892-899.

[31] YANG, T., GUAN, F., & XU, A. (2018). Multiple trees contour extraction method based on Graph Cut algorithm. JOURNAL OF NANJING FORESTRY UNIVERSITY, 42(06), 91.