Introduction

Jiayi Li, Associate Professor, IEEE Senior Member. Mainly engaged in machine learning and pattern recognition, urban remote sensing image processing and application research. He has been approved for 3 national-level scientific research projects (2 in charge), presided over one of the Natural Science Foundation of Hubei Province, published 50+ SCI papers, of which 30 were above the top of the second district (27 papers in the first author/communication), and was highly cited by ESI 3 papers, published many papers in domestic SCI journals National Science Review (impact factor 17.3), Science Bulletin (impact factor 11.8), Chinese Science. Earth Science Edition (Chinese and English), etc., Google Scholar cited 2000+, served as 3 SCI Guest editor of the journal.
She won the second place in the IEEE IGRASS Data Fusion Classification Competition (2021), the third place in the IEEE IGRASS Data Fusion Classification Competition (2014), and the final list of the IEEE IGARSS Student Paper Competition (2014, 2015).
She released from 1972 to the present year by year, the global impervious surface with a resolution of 30 meters is currently the product with the longest time series and the highest spatial and temporal resolution (downloaded more than 200,000 times). The achievements won the first prize of the 2018 Surveying and Mapping Science and Technology Progress Award (ranking 2), the 2021 "University GIS New Talent" Award, and the 2021 High Score Annual Conference Youth Innovation Fund. The results have been applied to surveying and mapping, land, environmental protection and other industries.

Education

  • 2007-2011, B.E., Remote Sensing, Center South University
  • 2011-2016, PH.D, Remote Sensing, Wuhan University

Positions and Employment

  • 2019.07 – Present, Associate Professor, Wuhan University
  • 2016.07 – 2019.06, Specially appointed associate researcher, Wuhan University

Contact Details

  • Email:zjjerica@whu.edu.cn, zjjerica@163.com
  • Address: No. 129 Luoyu Road, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
  • Post code: 430079

Publications

---2024---
(64) Huang, Xin, Zhen Zhang, Li Jiayi*. China's first sub-meter building footprints derived by deep learning. Remote Sensing of Environment, 2024, 311: 114274.(Link),(pdf)
(63) Li Jiayi, Hu Yuping, Huang Xin*. CaSaFormer: A cross- and self-attention based lightweight network for large-scale building semantic segmentation. International Journal of Applied Earth Observation and Geoinformation, 2024, 130: 103942.(Link),(pdf)
(61) Tu Lilin, Li Jiayi*, Huang Xin, Gong Jianya, Xie Xing, Wang Leiguang. S2HM2: A Spectral–Spatial Hierarchical Masked Modeling Framework for Self-Supervised Feature Learning and Classification of Large-Scale Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-19.(Link),(pdf)
(61) Huang Xin, Zhang Shulei, Li Jiayi*, Wang Leiguang, Xie Xing. A Multi-Task Network for Multi-View Stereo Reconstruction: When Semantic Consistency based Clustering Meets Depth Estimation Optimization. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-16.(Link),(pdf)
(60) Tu Lilin, Huang Xin*, Li Jiayi, Yang Jie, Gong Jianya. A multi-task learning method for extraction of newly constructed areas based on bi-temporal hyperspectral images. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 208: 308-323.(Link),(pdf)
(59) Huang Xin, Gang Weilin, Li Jiayi*, Wang Zhili, Wang Qun, Liang Yuegang. Extraction of Pine Wilt Disease Based on a Two-Stage Unmanned Aerial Vehicle Deep Learning Method. Journal of Applied Remote Sensing, 2024, 18: 014503-014503.(Link),(pdf)
(58) Yao Rui, Huang Xin*, Zhang Yongjun, Wang Lunche, Li Jiayi, Yang Qiquan. Estimation of the surface urban heat island intensity across 1031 global cities using the regression-modification-estimation (RME) method. Journal of Cleaner Production, 2024, 434: 140231.(Link),(pdf)
(57)Huang Xin, Wang Wenrui, Li Jiayi*, Wang Leiguang, Xie Xing. A Stepwise Refining Image-Level Weakly Supervised Semantic Segmentation Method for Detecting Exposed Surface for Buildings (ESB) from Very High-Resolution Remote Sensing Images IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1–17.(Link),(pdf)
---2023---
(56) Rui Yao,Yongjun Zhang, Lunche Wang, Li Jiayi, Qiquan Yang. Reconstructed NDVI and EVI datasets in China (ReVIChina) generated by a spatial-interannual reconstruction method. International Journal of Digital Earth, 2023, 16(2): 4749–4768(Link),(pdf)
(55) Qu Yang, Li Jiayi*, Huang Xin, Wen Dawei. TD-SSCD: A Novel Network by Fusing Temporal and Differential Information for Self-Supervised Remote Sensing Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1–15.(Link),(pdf)
(54) Zhang Xueting, Huang Xin*, Jiayi Li. Joint Self-Training and Rebalanced Consistency Learning for Semi-Supervised Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1–13.(Link),(pdf)
(53) Xu Yue, Gong Jianya, Huang Xin*, Hu Xiangyun, Li Jiayi, Li Qiang, Peng Min. Luojia-HSSR: A high spatial-spectral resolution remote sensing dataset for landcover classification with a new 3D-HRNet.Geo-Spatial Information Science, 2022, DOI: 10.1080/10095020.2022.2070555.(Link),(pdf)
(52)Zhang Xueting, Huang Xin, Li Jiayi.SemiSupervised Change Detection with Feature-Prediction Alignment. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5401016, DOI: 10.1109/TGRS.2023.3247605.(Link),(pdf)
(51) Zhang Zhen, Huang Xin, Li Jiayi. DWin-HRFormer: A High-Resolution Transformer Model with Directional Windows for Semantic Segmentation of Urban Construction Land. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5400714, DOI: 10.1109/TGRS.2023.3241366.(Link),(pdf)
(50) Li Jiayi, Huang Xin, Feng Yujin, Ji Zheng, Zhang Shulei, Wen Dawei. A Hierarchical Deformable Deep Neural Network and an Aerial Image Benchmark Dataset for Surface Multi-View Stereo Reconstruction. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5600812, DOI: 10.1109/TGRS.2023.3234694.(Link),(pdf)
---2022---
(49) Li Jiayi, Huang Xin*, Tu Lilin. WHU-OHS: A benchmark dataset for large-scale Hersepctral Image classification, International Journal of Applied Earth Observation and Geoinformation, 2022, 113: 103022.(Link),(pdf)
(48) Li Jiayi, Huang Xin*, Tu Lilin, Zhang Tao, and Wang Leiguang. A review of building detection from very high resolution optical remote sensing images, GIScience & Remote Sensing, 2022, 59(1): 1199-1225.(Link),(pdf)
(47) Huang Xin, Dong Mengjie, Li Jiayi*, Guo Xian. A 3-D-Swin Transformer-Based Hierarchical Contrastive Learning Method for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5411415.(Link),(pdf)
(46) Huang Xin, Song Yihong, Yang Jie, Wang Wenrui, Ren Huiqun, Dong Mengjie, Feng Yujin, Yin Haidan, Jiayi Li. Toward accurate mapping of 30-m time-series global impervious surface area (GISA).International Journal of Applied Earth Observation and Geoinformation, 2022, DOI:10.1016/j.jag.2022.102787.(Link), (pdf)
(45) Xu Yue, Gong Jianya, Huang Xin, Hu Xiangyun, Jiayi Li, Li Qiang, Peng Min. Luojia-HSSR: A high spatial-spectral resolution remote sensing dataset for land-cover classification with a new 3D-HRNet.Geo-spatial Information Science, 2022, DOI :10.1080/10095020.2022.2070555.(Link), (pdf)
(44) Jiayi Li, Zhang Ben, Huang Xin. A hierarchical category structure based convolutional recurrent neural network (HCS-ConvRNN) for Land-Cover classification using dense MODIS Time-Series data.International Journal of Applied Earth Observation and Geoinformation, 2022, DOI :10.1016/j.jag.2022.102744.(Link), (pdf)
(43) Li Zhuohong, Lu Fangxiao, Zhang Hongyan, Tu Lilin, Jiayi Li, Huang Xin, Robinson Caleb, Malkin Nikolay, Jojic Nebojsa, Ghamisi Pedram, Hansch Ronny, Yokoya Naoto. The Outcome of the 2021 IEEE GRSS Data Fusion Contest—Track MSD: Multitemporal Semantic Change Detection.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, DOI:10.1109/jstars.2022.3144318.(Link),(pdf)
---2021---
(42) Mei Yingying, Jiayi Li*, Xiang Deping, Zhang Jingxiong. When a Generalized Linear Model Meets Bayesian Maximum Entropy: A Novel Spatiotemporal Ground-Level Ozone Concentration Retrieval Method. Remote Sensing, 2021, DOI:10.3390/rs13214324.(Link), (pdf)
(41) Huang Xin, Jiayi Li*, Yang Jie, Zhang Zhen, Li Dongrui, Liu Xiaoping. 30-m global impervious surface area dynamics and urban expansion pattern observed by Landsat satellites: from 1972 to 2019.SCIENCE CHINA Earth Sciences, 2021, DOI: 10.1007/s11430-020-9797-9.(Link), (pdf)
(40) Huang Xin, Yang Junjing, Jiayi Li*, Wen Dawei. Urban functional zone mapping by integrating high spatial resolution nighttime light and daytime multi-view imagery.ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 175, 403-415.(Link), (pdf)
(39) Wen Dawei, Huang Xin*, F Bovolo, Jiayi Li, Ke Xinli, Zhang Anlu, Jon Atli Benediktsson. Change Detection from Very High Spatial Resolution Optical Remote Sensing Images: Methods, Applications, and Future Directions.IEEE Geoscience and Remote Sensing Magazine, 2021, DOI: 10.1109/MGRS.2021.3063465.(Link), (pdf)
(38) Huang Xin*, Liu Anling, Jiayi Li. Mapping and analyzing the local climate zones in China’s 32 major cities using Landsat imagery based on a novel convolutional neural network.Geo-spatial Information Science, DOI: 10.1080/10095020.2021.1892459.(Link), (pdf)
---2020---
(37) Huang Xin, Cao Yinxia, Jiayi Li. An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images. Remote Sensing of Environment, 2020, DOI: 10.1016/j.rse.2020.111802.(Link), (pdf)
(36) Huang Xin, Shuang Li, Jiayi Li*, Xiuping Jia, Jun Li, Xiaoxiang Zhu, and Jón Atli Benediktsson. A multi-spectral and multi-angle 3-D convolutional neural network for the classification of ZY-3 satellite images over urban areas.IEEE Transactions on Geoscience and Remote Sensing, 2020,DOI: 10.1109/TGRS.2020.3037211.(Link), (pdf)
(35) Huang Xin, Huang Jiongyi, Wen Dawei*, Li Jiayi*. An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approach. International Journal of Applied Earth Observations and Geoinformation, 2020, Accepted for Publication.Link, pdf, product
(34) Li Jiayi, Huang Xin, Chang Xiaoyu. A label-noise robust active learning sample collection method for multi-temporal urban land-cover classification and change analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 163, 1-17., link, pdf
(33) Huang Xin*, Wang Yin, Li Jiayi, Chang Xiaoyu, Cao Yinxia, Xie Junfeng, Gong Jianya. High-resolution urban land-cover mapping and landscape analysis of the 42 major cities in China using ZY-3 satellite images. Science Bulletin, 2020, PP, link, pdf
(32) Li Jiayi, Gao Yuan, Huang Xin*. The impact of urban agglomeration on ozone precursor conditions: A systematic investigation across global agglomerations utilizing multi-source geospatial datasets. Science of The Total Environment, 20 February 2020, link, pdf
---2019---
(31) Huang Xin, Li Jiayi, Bovolo Francesca, Wang Qi. Special section guest editorial: change detection using multi-source remotely sensed imagery. Remote Sensing. 23 September 2019, link, pdf
(30) Li Jiayi, Huang Xin*, Gong Jianya. Deep neural network for remote sensing image interpretation: status and perspectives. National science review, 02 May 2019, link, pdf
(29) Huang Xin, Cai Yafang, Li Jiayi*. Evidence of the mitigated urban particulate matter island (UPI) effect in China during 2000-2015. Science of the Total Environment, 10 April 2019, link, pdf
(28) Ma Weixuan, Wan Youchuan, Li Jiayi*, Zhu Sa, Wang Mingwei. An automatic morphological attribute building extraction approach for satellite high spatial resolution imagery. Remote Sensing, 06 February 2019, link, pdf
(27) Li Jiayi, Huang Xin*, Hu Ting. A novel unsupervised sample collection method for urban land-cover mapping using Landsat imagery. IEEE Transactions on Geoscience and Remote Sensing, 27 February 2019, link, pdf
(26) Li Jiayi, Huang Xin*. Ground-level ozone concentration and landscape patterns in China’s urban areas. Photogrammetric Engineering and Remote Sensing, 01 February 2019, link, pdf
---2018---
(25) Xie Cong, Huang Xin*, Li Jiayi. Assessing China’s lake changes and associated driving forces during 1985–2015. Photogrammetric Engineering and Remote Sensing, 01 October 2018, link, pdf
(24) Li Jiayi, Huang Xin*. Impact of land-cover layout on particulate matter 2.5 in urban areas of China. International Journal of Digital Earth, 15 October 2018, link, pdf
(23) Tan Kun *, Zhang Yusha, Du Qian, Du Peijun, Jin Xiao, Li Jiayi. Change Detection based on Stacked Generalization System with Segmentation Constraint, Photogrammetric Engineering & Remote Sensing. November 2018 , link, pdf
(22) Hu Ting, Huang Xin*, Li Jiayi, Zhang Lefei. A novel co-training approach for urban land cover mapping with unclear Landsat time series imagery. Remote Sensing of Environment, November 2018, link, pdf
(21) Huang Xin, Hu Ting, Li Jiayi *, Wang Qing, Jón Atli Benediktsson. Mapping Urban Areas in China Using Multisource Data With a Novel Ensemble SVM Method, IEEE Transactions on Geoscience and Remote Sensing. August 2018 , link, pdf
(20) Han Xiaopeng, Huang Xin*, Li Jiayi, Li Yansheng, Michael Yang Ying, Gong Jianya. The edge-preservation multi-classifier relearning framework for the classification of high-resolution remotely sensed imagery. ISPRS Journal of Photogrammetry and Remote Sensing, April 2018, link, pdf
---2017---
(19) Huang Xin, Jiayi Li, Liao Wenzhi, Chanussot Jocelyn. Information extraction from remote sensing imagery.Geo-spatial Information Science, 2017, DOI :10.1080/10095020.2017.1404273.(Link), (pdf)
(18) Yang Qiquan, Huang Xin*, Li Jiayi*. Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China. Scientific Reports, 24 August 2017, link, pdf
(17) Huang Xin*, Wen Dawei, Li Jiayi, Qin Rongjun. Multi-level monitoring of subtle urban dynamics for megacities of China using high-resolution multi-view satellite imagery. Remote Sensing of Environment, July 2017, link, pdf
(16) Li Long, Huang Xin*, Li Jiayi*, Wen Dawei. Quantifying the spatiotemporal trends of canopy heat island (CLHI) and its driving factors over Wuhan, China with satellite remote sensing. Remote Sensing, 27 May 2017, link, pdf
(15) Liu Hui, Huang Xin*, Wen Dawei, Li Jiayi. The use of landscape metrics and transfer learning to explore urban villages in China. Remote Sensing, 13 April 2017, link, pdf
(14) Zhang Tao, Huang Xin*, Wen Dawei, Li Jiayi. Urban building density estimation from high-resolution imagery using multiple features and support vector regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 06 March 2017, link, pdf
(13) Huang Xin*, Yuan Wenliang, Li Jiayi, and Zhang Liangpei. A New Building Extraction PostProcessing Framework for High-Spatial-Resolution Remote-Sensing Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 25 July 2016, link, pdf
---2016---
(12) Huang Xin, Li Qingyu, Liu Hui*, Li Jiayi*. Assessing and improving the accuracy of GLOBELAND30 data for urban area delineation by combining multisource remote sensing data. IEEE Geoscience and Remote Sensing Letters, 20 October 2016, link, pdf
(11) Wu Bo*, Zhu Yong, Huang Xin, Li Jiayi. Generalization of spectral fidelity with flexible measures for sparse representation classification of hyperspectral images. International Journal of Applied Earth Observation and Geoinformatics, October 2016, link, pdf
---2015---
(10) Li Jiayi, Zhang Hongyan*, Guo Min, Zhang Liangpei, Shen Huanfeng, Du Qian. Urban classification by the fusion of thermal infrared hyperspectral and visible data. Photogrammetric Engineering and Remote Sensing. December2015, link, pdf
(9) Li Jiayi, Zhang Hongyan*, Zhang Liangpei. A nonlinear multiple feature learning classifier for hyperspectral images with limited training samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16 March 2015, link, pdf
(8) Li Jiayi, Zhang Hongyan*, Zhang Liangpei, Ma Li. Hyperspectral anomaly detection by the use of background joint sparse representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 08 June 2015, link, pdf
(7) Li Jiayi, Zhang Hongyan*, Zhang Liangpei. Efficient superpixel-level multitask joint sparse representation for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing. 29 April 2015, link, pdf
---2014---
(6) Li Jiayi, Zhang Hongyan, Huang Yuancheng, Zhang Liangpei*. Hyperspectral image classification by nonlocal joint collaborative representation with a locally adaptive dictionary. IEEE Transactions on Geoscience and Remote Sensing, June 2014, link, pdf
(5) Li Jiayi, Zhang Hongyan, Zhang Liangpei, Huang Xin, and Zhang Lefei. Joint collaborative representation with multitask learning for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing. September 2014, link, pdf
(4) Li Jiayi, Zhang Hongyan, Zhang Liangpei*. Column-generation kernel nonlocal joint collaborative representation for hyperspectral image classification. ISPRS Journal of Photogrammetry and Remote Sensing. August 2014, link, pdf
(3) Li Jiayi, Zhang Hongyan, Zhang Liangpei*. Supervised segmentation of very high resolution images by the use of extended morphological attribute profiles and a sparse transform. IEEE Geoscience and Remote Sensing Letters. August 2014, link, pdf
(2) Guo Min, Zhang Hongyan, Li Jiayi, Zhang Liangpei*, Shen Huanfeng. An online coupled dictionary learning approach for remote sensing image fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 04 April 2014 , link, pdf
(1) Zhang Hongyan, Li Jiayi*, Huang Yuancheng, Zhang Liangpei. A nonlocal weighted joint sparse representation classification method for hyperspectral imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, June 2014 , link, pdf
---EI paper---
---2021---
(13) 黄昕,李家艺,杨杰,张震,李冬瑞,刘小平. Landsat卫星观测下的30米全球不透水面年度动态与城市扩张模式(1972到2019). 中国科学(地球科学),2021. (出版中)
---2019---
(12) Hu Ting, Huang Xin, Li Jiayi, Jón Atli Benediktsson, Yang Jiansi, Gong Jianya. A semi-supervised approach towards land cover mapping with Sentinel-2 desnse time-series imagery. IEEE International Geoscience and Remote Sensing Symposium, Yokohama. 28 July-2 August, 2019 , link, pdf
---2018---
(11) Chen Huijun, Huang Xin, Liu Chun, Li Jiayi, Gong Jianya. A Novel building detection method using ZY-3 multi-angle imagery over urban areas. IEEE International Geoscience and Remote Sensing Symposium, Valencia. 22-27 July, 2018 , link, pdf
(10) Xu Mingming, Zhang Yuxiang, Li Jie, Li Jiayi, Song Dongmei, Fan Yanguo. Hyperspectral band selection based on endmember dissimilarity for hyperspectral unmixing. IEEE International Geoscience and Remote Sensing Symposium, Valencia, 22-27 July, 2018. , link, pdf
---2017---
(9) Wen Dawei, Liu Hui, Li Jiayi, Huang Xin. Multi-level change detection in urban areas using ZY-3 multi-temporal stereo imagery. 2017 Joint Urban Remote Sensing Event (JURSE) , link, pdf
(8) Huang Xin, Li Jiayi, Liao Wenzhi, Chanussot Jocelyn. Information extraction from remote sensing imagery. Geo-spatial Information Science 20 (4), 297-298, 2017, link, pdf
---2016---
(7) 张良培, 李家艺*. 高光谱图像稀疏信息处理综述与展望, 遥感学报, 2016, 20(5): 1993-2002,link, pdf
(6) Li Jiayi, Huang Xin, Zhang Liangpei *. Semi-supervised sparse relearning representation classification for high-resolution remote sensing imagery. IEEE International Geoscience and Remote Sensing Symposium, Beijing, 10-15 July, 2016. , link, pdf
(5) Shi Qian, Huang Xin, Li Jiayi, Zhang Liangpei. Active learning approach for remote sensing imagery classification using spatial information. IEEE International Geoscience and Remote Sensing Symposium, Beijing, 10-15 July, 2016, 1520-1523, link, pdf
(4) Li Jiayi, Zhang Hongyan, Zhang Liangpei*. Efficient Superpixel-oriented Multi-task Joint Sparse Representation Classification Hyperspectral Imagery. IEEE International Geoscience and Remote Sensing Symposium, Milan, 26-31 July, 2015 , link, pdf
---2014---
(3) Li Jiayi, Zhang Hongyan, Liangpei Zhang*. Background joint sparse representation for hyperspectral image sub-pixel anomaly detection. IEEE International Geoscience and Remote Sensing Symposium, Quebec, 13-18 July, 2014 , link, pdf
---2013---
(2) Li Jiayi, Zhang Hongyan*, Liangpei Zhang. A nonlinear regression classification algorithm with small sample set for hyperspectral image. IEEE International Geoscience and Remote Sensing Symposium, Melbourne, 21-26 July, 2013 , link, pdf
---2012---
(1) Li Jiayi, Zhang Hongyan*, Huang Yuancheng, Zhang Liangpei. Classifiction for hyperspectral imagery based on nonlocal weighted joint sparsity model. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Shanghai, China, 4-7 June, 2012., link, pdf

Awards

  • Jiayi Li(1/2),Research on Multi-modal Discriminant Dictionary Learning Method for Hyperspectral Imagery,Organizing Committee of the Third Symposium on Earth Observation of Imaging Spectroscopy,Outstanding Academic Report Award,2015 (Jiayi Li,Liangpei Zhang)
  • Jiayi Li (1/6), IEEE GRSS data fusion contest, IEEE Geoscience and Remote Sensing Society, 3rd place, 2014 (Jiayi Li, Min Guo, Wei He, Tao Shuai, Hongyan Zhang, and Liangpei Zhang)
  • Jiayi Li(1/10),Method and application of high-resolution urban remote sensing information extraction,First Prize of Surveying and Mapping Technology Progress 2018.(Xin Huang, Jiayi Li, Wei Yin, Guanghui Wang, Li Tang, Xian Wang, Bo Wu, Song Ma, Yu Liu, Zhongping Pei)

Projects

  • National Natural Science Foundation of China. Fusion of crowdsourcing geospatial and remote sensing sematic information for automatic large-scale urban function zone monitoring.(Principle Investigator)
  • National Natural Science Foundation of China.Multi-modal discriminative sparse learning and fusion classification of multi-source high-resolution remote sensing imagery.(Principle Investigator)
  • Natural Science Foundation of Hubei Province of China.Discriminant sparse learning method for fusion interpretation of multi-source remote sensing image.(Principle Investigator)
  • The Fundamental Research Funds for the Central Universities.Depth sparse interpretation of multi-source high-resolution remote sensing image information.(Principle Investigator)
  • National Key Research and Development Program of China.Extraction of typical elements based on domestic remote sensing satellites.(Principle Investigator)
  • The Fundamental Research Funds for the Central Universities.A novel multi-task Sparse Recognition Technique for Hyperspectral Complex Background Targets.(Principle Investigator)
  • Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University.Interpretation of depth sparse representation information of multi-source high-resolution remote sensing imagery.(Principle Investigator)