個人簡介
李慧芳，女，教授，博導，88858cc永利官网。主要研究方向為城市遙感信息處理與應用，針對大氣衰減和複雜地表導緻的衛星和航空影像中的嚴重輻射畸變問題，以機理、變分、統計、深度學習等模型為基礎，開展多模型融合的計算校正理論方法研究，開展城市溫度多尺度遙感監測與分析，取得了系列創新性成果。主持國家自然科學基金3項，國家重點研發項目課題/子課題3項，省部級及其他項目10餘項，發表學術論文50餘篇，其中RSE、ISPRS P&RS、IEEE TGRS等地學頂級期刊論文17篇，論文總被引1500多次（Google scholar）；出版《遙感數據質量改善之信息校正》專著一部；獲得美國攝影測量與遙感協會(ASPRS)授予的ERDAS最佳遙感科學論文獎；獲得測繪科技進步一等獎。
歡迎有興趣的研究生、本科生聯系并加入我們的研究團隊！（長期有效）
研究生招收專業：
資源環境監測與規劃（碩博）、土地資源管理、自然地理（碩博）、人文地理、測繪工程（專碩）
科研項目
國家重點研發計劃課題，城市典型生态環境問題時空特征與演變規律，2022.9-2026.8，主持
國家重點研發計劃子課題，多源融合與異構同化的生态環境參數高精度感知技術，2020.1-2022.12，主持
國家自然科學基金面上項目，城市複雜場景下的數據-模型聯合驅動遙感影像陰影校正方法，2024.1-2027.12，主持
國家自然科學基金面上項目，耦合統計信息與物理機制的遙感影像雲霧校正研究，2019.1-2022.12，主持
國家自然科學基金青年項目，高分辨率遙感影像的軟陰影檢測與高保真修複方法研究，2015.1-2017.12，主持
湖北省自然科學基金，面向城市固體廢棄物的遙感信息校正與目标檢測方法研究，2021.06-2023.06. 主持.
湖北省自然科學基金，感知驅動的遙感影像快速變分校正方法研究，2014.01-2015.12. 主持.
國家自然科學基金重點項目，山地典型生态參量遙感反演建模及其時空表征，2017.01-2021.12, 參與
國家重點研發計劃，高光譜激光雷達理論體系建立及總體技術集成研發， 2018.05-2022.04
論文
Liu, Ye;
Li, Huifang*; Hu, Chao; Luo, Shuang; Luo, Yan; Chen, Chang Wen, " Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images,"
IEEE Transactions on Neural Networks and Learning Systems, 2023, ACCEPT
H. Li*, Y. Han, T. Wang, Z. Wang, Y. Li, H. Shen, Evolution of urban morphological polycentricity and the thermal response in Wuhan from 2000 to 2020,
Sustainable Cities and Society, 2023, 105055, ISSN 2210-6707,
https://doi.org/10.1016/j.scs.2023.105055. S. Luo,
H. Li*, Y. Li, C. Shao, H. Shen and L. Zhang, "An Evolutionary Shadow Correction Network and a Benchmark UAV Dataset for Remote Sensing Images,"
IEEE Trans. on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023, Art no. 5615414,
Dataset and Code: https://github.com/UrbanRScode/ESCNet C. Zhang,
H. Li*, H. Shen, H. He, Y. Liu, P. Yi, L. Xu, "A General Thin Cloud Correction Method Combining Statistical Information and a Scattering Model for Visible and Near-infrared Satellite Images,"
IEEE Trans. on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3296151.
Y. Gong,
H. Li*, H. Shen, C. Meng, P. Wu, “Cloud-covered MODIS LST reconstruction by combining assimilation data and remote sensing data through a nonlocality-reinforced network,”
International Journal of Applied Earth Observation and Geoinformation, vol. 117, no. 203195, 2023.
H. Li*; Hu, Chao; Zhong, Xinrun; Zeng, Chao; Shen, Huanfeng, “Solid waste detection in cities using remote sensing imagery based on a location-guided key point network with multiple enhancements”,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 191-201, 2023.
C. Zhang,
H. Li*, H. Shen, A scattering law based cirrus correction method for Landsat 8 OLI visible and near-infrared images,
Remote Sensing of Environment, vol. 253, 112202, Feb. 2021.
H. Li*, Y. Li, T. Wang, Z. Wang, M. Gao, H. Shen, "Quantifying 3D Building Form Effects on Urban Land Surface Temperature and Modeling Seasonal Correlation Patterns",
Building and Environment, 2021, 204, 108132.
S. Luo,
H. Li*, H. Shen*, Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset,
ISPRS Journal of Photogrammetry and Remote Sensing, vol. 167, Pages 443-457, Sep. 2020.
Dataset and Code:
https://github.com/RSrscoder/AISD H. Shen, C. Zhang,
H. Li*, A Spatial-Spectral Adaptive Haze Removal Method for Visible Remote Sensing Images,
IEEE Trans. on Geoscience and Remote Sensing, vol. 58, no. 9, pp. 6168-6180, 2020.
S. Luo,
H. Li*, R. Zhu, Y. Gong, and H. Shen, ESPFNet: An Edge-aware Spatial Pyramid Fusion Network for Salient Shadow Detection in Aerial Remote Sensing Images,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, 4633-4645, 2021.
S. Luo, H. Shen,
H. Li*, and Y. Chen, Shadow removal based on separated illumination correction for urban aerial remote sensing images,
Signal Processing, vol. 165, pp. 197-208, 2019.
Z. Li, H. Shen*,
H. Li*, G. Xia, P. Gamba, and L. Zhang, Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery,
Remote Sensing of Environment, vol. 191, pp. 342-358, 2017.
H. Li, L. Xu, H. Shen, L. Zhang, A general variational framework considering cast shadows for the topographic correction of remote sensing imagery,
ISPRS Journal of Photogrammetry and Remote Sensing, vol. 117, no. 7, pp. 161-171, 2016.
H. Li, X. Wang, H. Shen, L. Zhang, An efficient multi-resolution variational Retinex scheme for the radiometric correction of airborne remote sensing images,
International Journal of Remote Sensing, vol. 37, no. 5, pp. 1154-1172, 2016.
H. Li, L. Zhang, H. Shen, A Perceptually Inspired Variational Method for the Uneven Intensity Correction of Remote Sensing Images,
IEEE Trans. on Geoscience and Remote Sensing, 2012, vol. 50, no. 8, pp. 3053-3065.
H. Li, L. Zhang, H. Shen, An adaptive non-local regularized shadow removal method for aerial remote sensing images,
IEEE Trans. on Geoscience and Remote Sensing, 2014, vol. 52, no. 1, pp. 106-120.
H. Li, L. Zhang, H. Shen, A Principal Component based Haze Masking Method for Visible Images,
IEEE Geoscience and Remote Sensing Letters, 2014, vol. 11, no. 5, pp. 975-979.
H. Shen,
H. Li*, Y. Qian, L. Zhang, Q. Yuan, An effective thin cloud removal procedure for visible remote sensing images,
ISPRS Journal of Photogrammetry and Remote Sensing, 2014, vol. 96, pp. 224-235.
H. Shen, X. Li, Q. Cheng, C. Zeng, G. Yang,
H. Li, and L. Zhang, “Missing Information Reconstruction of Remote Sensing Data: A Technical Review,”
IEEE Geoscience and Remote Sensing Magazine, vol. 3, no. 3, pp. 61-85, 2015.
X. Meng, H. Shen, Q. Yuan,
H. Li, L. Zhang, and W. Sun, “Pansharpening for cloud-contaminated very high-resolution remote sensing images,”
IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 5, pp. 2840-2854, 2018.
X. Meng, H. Shen,
H. Li, L. Zhang, and R. Fu, "Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges,"
Information Fusion, vol. 46, pp. 102-113, 2019.
李慧芳, 沈煥鋒, 張良培, 李平湘, "一種基于變分Retinex的遙感影像不均勻性校正方法,"
測繪學報, 39(6), 585-591, 2010.
王曉靜, 李慧芳*, 袁強強, 沈煥鋒, 張良培, "采用分裂Bregman的遙感影像亮度不均變分校正,"
中國圖象圖形學報,19(5), 798-805, 2014.
張弛, 李慧芳*, 沈煥鋒.聯合統計信息與散射模型的GF-5 AHSI可見光影像薄雲校正[J].
遙感學報, 2020, 24 (04): 368-378.
發明專利
[1] 李慧芳，張弛，沈煥鋒. 一種短波紅外波段輔助的遙感影像薄雲霧校正方法，ZL202011339970.6.
[2] 沈煥鋒，羅爽，李慧芳. 一種基于深度學習的無人機遙感影像陰影去除方法，ZL202011349993.5.
[3] 李慧芳，胡超，羅爽. 沈煥鋒基于多策略增強的遙感影像固體廢棄物識别方法及系統，ZL202110345854.3
[4] 李慧芳，徐立穎，一種不配對遙感影像薄雲霧檢測及去除方法，申請号202210554878.4.
[5] 沈煥鋒，李志偉，李慧芳，吳崎. 一種多特征聯合的光學衛星影像雲與雲陰影檢測方法，ZL201610018751.5.
