General

Associate Professor, Aerospace Information Research Institute, Chinese Academy of Sciences


Research Areas

He received the B.S. degree in geographic information system from Huazhong Agricultural University, Wuhan, China, in 2007, and the Ph.D. degree in signal and information processing from the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China, in 2012.,From 2012 to 2015, he was an Assistant Researcher with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. From 2015 to 2018, he was a Postdoctoral Fellow with the University of Idaho, USA. He is currently Associate Professor with the Aerospace Information Research Institute, Chinese Academy of Sciences. Dr. Huo serves as Guest Editors for several journals and is a Reviewer for more than 15 international journals.

He is committed to applying advanced computer vision and machine learning technologies to remote sensing image analysis and understanding, and integrating multi-sourced data to solve problems in application fields such as natural resources monitoring and environment issues.


Publications

(1) Lian-Zhi Huo, Ping Tang, A Batch-Mode Active Learning Algorithm Using Region-Partitioning Diversity for SVM Classifier, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,  7(4),  pp: 1036-1046, 2014. (SCI, IF=3.392).

(2) Lian-Zhi Huo, Ping Tang, Zheng Zhang, Devis Tuia.  Semisupervised Classification of Remote Sensing Images with Hierarchical Spatial Similarity, IEEE Geoscience and Remote Sensing Letters, 12(1), pp:150-154, 2015 (SCI, IF=3.534).

(3) Lian-Zhi Huo, Ping Tang.  A Graph-based Active Learning Method for Classification of Remote Sensing Images. International Journal of Wavelets, Multiresolution and Information Processing, 16(2), 1850023, 2018. (SCI).

(4) Lian-Zhi Huo, Carlos Alberto Silva, Carine Klauberg, Midhun Mohan, Lijun Zhao, Ping Tang, Andrew Thomas Hudak, Supervised Spatial Classification of Multispectral LiDAR Data in Urban Areas. PLoS ONE, 13(10): e0206185, 2018.

(5) Lian-Zhi Huo, Luigi Boschetti, Aaron M. Sparks, Object-Based Classification of Forest Disturbance Types in the Conterminous United States, Remote Sensing, 2019, 11, 477.

(6) Changmiao Hu, Lian-Zhi Huo*, Zheng Zhang, Ping Tang. Multi-temporal Landsat Data Automatic Cloud Removal Using Poisson Blending. IEEE Access, vol. 8, pp: 46151-46161, 2020.

(7) Yuan Yuan, Lei Lin, Lian-Zhi Huo*, Yun-Long Kong, Zeng-Guang Zhou, Bin Wu, Yan Jia. Using An Attention-based LSTM Encoder-Decoder Network for Near Real-Time Disturbance Detection, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13:1819-1832, 2020. 

(8) Libin Jiao, Changmiao Hu, Lian-Zhi Huo, Ping Tang. Guided-Pix2Pix: End-to-End Inference and Refinement Network for Image Dehazing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 3052-3069, 2021.

(9) Can Trong Nguyen, Amnat Chidthaisong, Phan Kieu Diem, Lianzhi Huo. A Modified Bare Soil Index to Identify Bare Land Features during Agricultural Fallow-Period in Southeast Asia Using Landsat 8, Land, 10(3): 1-18, 2021.

(10) Libin Jiao, Lian-Zhi Huo, Changmiao Hu, Ping Tang. Refined UNet V2: End-to-End Patch-Wise Network for Noise-Free Cloud and Shadow Segmentation, Remote Sensing, 12(21), 3530, 2020.

(11) Libin Jiao, Lian-Zhi Huo, Changmiao Hu, Ping Tang. Refined UNet: UNet-Based Refinement Network for Cloud and Shadow Precise Segmentation, Remote Sensing, 12(12), 2001, 2020.

(12) Li-Jun Zhao, Ping Tang, Lian-Zhi Huo.  Land-Use Scene Classification Using a Concentric Circle Structured Multiscale Bag-of-Visual-Words Model, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(12): 4620-4631, 2014.

(13) Lijun Zhao, Ping Tang, Lianzhi Huo.  A 2-D Wavelet Decomposition Based Bag-of-Visual-Words Model for Land-Use Scene Classification, International Journal of Remote Sensing, 35(6): 2296-2310, 2014.

(14) Zheng Zhang, Ping Tang, Lianzhi Huo, Zengguang Zhou. MODIS NDVI Time Series Clustering Under Dynamic Time Warping, International Journal of Wavelets, Multiresolution and Information Processing, 12(5): 1461011, 2014.

(15) Li-Jun Zhao, Ping Tang, Lian-Zhi Huo.  Feature significance-based multibag-of-visual-words model for remote sensing image scene classification. Journal of Applied Remote Sensing, 10(3), 035004, 2016.


Conferences

(1) Lian-Zhi Huo, Ping Tang, Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Gabor Textures，2011 IEEE International Geoscience and Remote Sensing Symposium (2011 IGARSS), 24-29 July, Vancouver, Canada.

(2) Li-Jun Zhao, Lian-Zhi Huo, Ping Tang, A bag-of-visual-words model based framework for object-oriented land-cover classification，SPIE Conference on Asian Pacific Remote Sensing, Beijing, China, 92603S-1, 2014.

(3) Lian-Zhi Huo, Zheng Zhang, Liang Tang, Critical class sensitive active learning method for classification of remote sensing imagery，2014 International Conference on Data Science and Advanced Analytics (2014 DSAA), Shanghai, China. [Oral]

(4) Lian-Zhi Huo, Li-Jun Zhao, Ping Tang, A Novel Semisupervised Transdutive SVM with Spatial Similarity for Classification of Hyperspectral Data, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lausanne, Switzerland.

(5) Lian-Zhi Huo, Li-Jun Zhao, Ping Tang, Hyperspectral Image Classification with Sparse Representation Classifiers and Active Learning, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, CA, USA. [Oral]

(6) Lian-Zhi Huo, Luigi Boschetti, Spatial and Temporal Analysis of Forest Clearcuts in the Conterminous United States, 2015 American Geophysical Union (AGU), San Francisco, CA, USA.

(7) Lian-Zhi Huo, Luigi Boschetti, Forest Cover Loss and Urban Area Expansion in the Conterminous United States in the First Decade of the Third Millennium, 2016 American Geophysical Union (AGU), San Francisco, CA, USA.

(8) Luigi Boschetti, Lian-Zhi Huo, Forest Disturbances, Deforestation and Timber Harvest Patterns in the Conterminous United States, 2016 American Geophysical Union (AGU), San Francisco, CA, USA.

(9) Luigi Boschetti, David Roy, Louis Giglio, Michael Humber, Sanath Kumar, Maria Zubkova, Andrea Melchiorre, Lian-Zhi Huo, Haiyang Huang, Validation of the MODIS Collection 6 MCD64 Global Burned Area Product，11th EARSel SIG Workshop Forest Fires, Chania, Greece, 2017.

(10) Lian-Zhi Huo, Luigi Boschetti, Aaron Sparks, Nicola Clerici, Deforestation and Industrial Forest Patterns in Colombia: a Case Study, New Orleans, LA, USA, 11-15 Dec. 2017.

(11) Changmiao Hu, Lianzhi Huo, Zheng Zhang, Ping Tang. Automatic cloud removal from multi-temporal Landsat Collection 1 Data Using Poisson Blending, 2019 IEEE International Geoscience and Remote Sensing Symposium (2019 IGARSS), 28 July-2 Aug, Yokohama, Japan.

(12) Shujun Li, Lianzhi Huo. Remote sensing image change detection based on fully convolutional network with pyramid attention, 2021 IEEE International Geoscience and Remote Sensing Symposium (2021 IGARSS), 12-16 July, Brussels, Belgium.