Qunming Wang (王群明) Professor College of surveying and Geo-Informatics Tongji University 1239 Siping Road, Shanghai 200092, China Email：wqm11111@126.com; wangqm@tongji.edu.cn

[ News / Research Interests / Education / Professional Experience / Publications / Codes / Datasets / Professional Service / Awards & Honors ]

News

• 03/2024       A paper on Landsat LST gap filling is accepted by RSE
  
• 06/2023       A paper on 30 m young forest age in China is accepted by ESSD
  
• 03/2022       A paper on haze removal is published in RSE
  https://www.sciencedirect.com/science/article/pii/S0034425722001262
• 12/2021       I join the Editorial Board of RSE
  
• 04/2021      A paper on spectral unmixing is published in RSE
  https://www.sciencedirect.com/science/article/pii/S0034425721001255
• 04/2021      A paper on spatio-temporal fusion is published in RSE
  https://www.sciencedirect.com/science/article/abs/pii/S0034425721000432

Research Interests

• Remote sensing image processing, including image fusion, downscaling, data reconstruction, land-cover/land-use mapping and change detection, and mixed pixel analysis
• Geostatistics and spatial statistics
• Machine learning

Education

• 08/2012 – 09/2015      Ph.D. in Photogrammetry and Remote Sensing, The Hong Kong Polytechnic University, HK
• 09/2010 – 06/2012      M.S. in Signal and Information Processing, Harbin Engineering University, China
• 09/2006 – 06/2010      B.S. in Electronics and Information Engineering, Harbin Engineering University, China

Professional Experience

• 05/2018 – Present       Professor, College of Surveying and Geo-Informatics, Tongji University, China
• 08/2017 – 04/2018      Lecturer (Assistant Professor), Lancaster Environment Centre, Lancaster University, UK
• 08/2015 – 07/2017      Senior Research Associate, Lancaster Environment Centre, Lancaster University, UK
• 10/2016                         Visiting Scholar, Institute of Earth Surface Dynamics, University of Lausanne, Switzerland (Invited by Prof. Gregoire Mariethoz)
• 06/2013 – 12/2013      Visiting PhD student, Geography and Environment, University of Southampton, UK

Publications

• Google Scholar: https://scholar.google.com/citations?user=y5foruMAAAAJ&hl=en
• Research Gate: https://www.researchgate.net/profile/Qunming_Wang

2024

[10] Q. Wang, Y. Tang, X. Tong, P. M. Atkinson. Filling gaps in cloudy Landsat LST product by spatial-temporal fusion of multi-scale data. Remote Sensing of Environment, 2024, 306: 114142.

[9] Q. Wang, J. Li, X. Tong, P. M. Atkinson. TSI-Siamnet: A Siamese network for cloud and shadow detection based on time-series cloudy images. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 213: 107–123.

[8] C. Zhang, Q. Wang*, P. M. Atkinson. Hard-constrained Hopfield neural network for subpixel mapping. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5641212.

[7] Q. Wang, R. Huang. RES-STF: Spatio temporal fusion of visible infrared imaging radiometer suite and Landsat land surface temperature based on Restormer. Journal of Remote Sensing, 2024, 4: 0208.

[6] Y. Xiao, Q. Wang*, H. K. Zhang. Global natural and planted forests mapping at fine spatial resolution of 30 m. Journal of Remote Sensing, 2024, 4: 0204.

[5] J. Li, Q. Wang*. CSDFormer: A cloud and shadow detection method for Landsat images based on Transformer. International Journal of Applied Earth Observations and Geoinformation, 2024, 129: 103799.

[4] H. Yang, Q. Wang*, W. Liu. A stepwise method for downscaling SMAP soil moisture dataset in the CONUS during 2015-2019. International Journal of Applied Earth Observations and Geoinformation, 2024, 130: 103912

[3] H. Yang, Q. Wang*, W. Zhao, P. M. Atkinson. Reconstruction of historical SMAP soil moisture dataset from 1979 to 2015 using CCI time-series. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 4502619.

[2] Y. Tang, Q. Wang*, X. Tong, P. M. Atkinson. Generation of 100-m, hourly land surface temperature based on spatio-temporal fusion. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5001716.

[1] Q. Wang, P. Ji, P. M. Atkinson. Fusion of surface soil moisture data for spatial downscaling of daily satellite precipitation data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 1053–1065.

2023

[6] Q. Wang, Y. Tang, Y. Ge, H. Xie, X. Tong, P. M. Atkinson. A comprehensive review of spatial-temporal-spectral information reconstruction techniques. Science of Remote Sensing, 2023, 8: 100102.

[5] Y. Xiao, Q. Wang*, X. Tong, P. M. Atkinson. Thirty-meter map of young forest age in China. Earth System Science Data, 2023, 15: 3365–3386.

[4] H. Yang, Q. Wang*. Reconstruction of a spatially seamless, daily SMAP (SSD_SMAP) surface soil moisture dataset from 2015 to 2021. Journal of Hydrology, 2023, 621: 129579.

[3] X. Ma, Q. Wang*, X. Tong. Incorporating inconsistent auxiliary images in haze removal of very high resolution images. International Journal of Applied Earth Observation and Geoinformation, 2023, 119: 103317.

[2] H. Yang, Q. Wang*, X. Ma, W. Liu, H. Liu. Digital soil mapping based on fine temporal resolution Landsat data produced by spatio-temporal fusion. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2023, 16: 3905–3914.

[1] Y. Tang, Q. Wang*, P. M. Atkinson. Filling then spatio-temporal fusion for all-sky MODIS land surface temperature generation. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2023, 16: 1350–1364.

2022

[14] X. Ma, Q. Wang*, X. Tong, P. M. Atkinson. A deep learning model for incorporating temporal information in haze removal. Remote Sensing of Environment, 2022, 274: 113012.

[13] X. Ma, Q. Wang*, X. Tong. A spectral grouping-based deep learning model for haze removal of hyperspectral images. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 188: 177–189.

[12] J. Zeng, Q. Wang*. Sparse tensor model-based spectral angle detector for hyperspectral target detection. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5539315.

[11] L. Wang, L. Wang, Q. Wang*, B. Lorenzo. RSCNet: Residual self-calibrated network for hyperspectral image change detection. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5529917.

[10] C. Zhang, Q. Wang*, P. Lu, Y. Ge, P. M. Atkinson. Fast and slow changes constrained spatio-temporal subpixel mapping. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5406616.

[9] Q. Wang, X. Ding, X. Tong, P. M. Atkinson. Real-time spatiotemporal spectral unmixing of MODIS images. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5404816.

[8] K. Peng, Q. Wang*, Y. Tang, X. Tong, P. M. Atkinson. Geographically weighted spatial unmixing for spatio-temporal fusion. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5404217.

[7] L. Wang, L. Wang, Q. Wang*, P. M. Atkinson. SSA-SiamNet: Spatial-spectral-wise attention-based Siamese network for hyperspectral image change detection. IEEE Transactions on Geoscience and Remote Sensingg, 2022, 60: 5510018.

[6] X. Ding, Q. Wang*, X. Tong. Integrating 250 m MODIS data in spectral unmixing for 500 m fractional vegetation cover estimation. International Journal of Applied Earth Observation and Geoinformation, 2022, 111: 102860.

[5] H. Yang, Q. Wang*, W. Zhao, X. Tong, P. M. Atkinson. Reconstruction of global 9 km, 8-day SMAP surface soil moisture dataset during 2015-2020 by spatio-temporal fusion. Journal of Remote Sensing, 2022, 9871246.

[4] C. Zhang, Q. Wang*, H. Xie, Y. Ge, P. M. Atkinson. Spatio-temporal subpixel mapping with cloudy images. Science of Remote Sensing, 2022, 6: 100068.

[3] Q. Wang, L. Wang, X. Zhu, Y. Ge, X. Tong, P. M. Atkinson. Remote sensing image gap filling based on spatial-spectral random forests. Science of Remote Sensing, 2022, 5: 100048.

[2] 王群明, 张智昊, 张成媛. 融合Sentinel-2数据的高分五号高光谱数据降尺度. 遥感学报, 2022, DOI: 10.11834/jrs.20211420 (网络发表).

[1] 王蓝星, 王群明*, 童小华. 融合多光谱影像的高光谱影像厚云去除方法. 测绘学报, 2022, 51(4): 612–621.

2021

[6] Q. Wang, X. Ding, X. Tong, P. M. Atkinson. Spatio-temporal spectral unmixing of time-series images. Remote Sensing of Environment, 2021, 259: 112407.

[5] Q. Wang, K. Peng, Y. Tang, X. Tong, P. M. Atkinson. Blocks-removed spatial unmixing for downscaling MODIS images. Remote Sensing of Environment, 2021, 256: 112325.

[4] Y. Tang, Q. Wang*, X. Tong, P. M. Atkinson. Integrating spatio-temporal-spectral information for downscaling Sentinel-3 OLCI images. ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 180: 130–150.

[3] Q. Wang, L. Wang, Z. Li, X. Tong, P. M. Atkinson. Spatial-spectral radial basis function interpolation-based Landsat ETM+ SLC-off image gap filling. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(9): 7901–7917.

[2] Q. Wang, L. Wang, C. Wei, Y. Jin, Z. Li, X. Tong, P. M. Atkinson. Filling gaps in Landsat ETM+ SLC-off images with Sentinel-2 images. International Journal of Applied Earth Observation and Geoinformation, 2021, 101: 102365.

[1] P. Lu, W. Shi, Q. Wang* , Z. Li* , Y. Qin, X. Fan. Co-seismic landslide mapping using Sentinel-2 10-m fused NIR narrow, red-edge and SWIR bands. Landslides, 2021, 18(6): 2017–2037.

2020

[8] Q. Wang, C. Zhang, X. Tong, P. M. Atkinson. General solution to reduce the point spread function effect in subpixel mapping. Remote Sensing of Environment, 2020, 251: 112054.

[7] Q. Wang, Y. Tang, X. Tong, P. M. Atkinson. Virtual image pair-based spatio-temporal fusion. Remote Sensing of Environment, 2020, 249: 112009.

[6] Q. Wang, C. Zhang, P. M. Atkinson. Sub-pixel mapping with point constraints. Remote Sensing of Environment, 2020, 244: 111817.

[5] Q. Wang, Y. Tang, P. M. Atkinson. The effect of the point spread function on downscaling continua. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 168: 251-267.

[4] L. Wang, X. Wang, Q. Wang*, P. M. Atkinson. Investigating the influence of registration errors on the patch-based spatio-temporal fusion method. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2020, 13: 6291–6307.

[3] Q. Wang, X. Tong, P. M. Atkinson. A geostatistical filter for remote sensing image enhancement. Mathematical Geosciences, 2020, 52(3): 317–336.

[2] Y. Tang, Q. Wang*, P. M. Atkinson. Quantifying the effect of registration error on spatio-temporal fusion. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2020, 13(1): 487–503.

[1] Q. Wang, W. Shi, P. M. Atkinson. Information loss-guided multi-resolution image fusion. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(1): 45–57.

2019 and earlier (Selected)

[1] P. Ghamisi, B. Rasti, N. Yokoya, Q. Wang, B. Hofle, L. Bruzzone, F. Bovolo, M. Chi, K. Anders, R. Gloaguen, P. M. Atkinson, J. A. Benediktsson. Multisource and multitemporal data fusion in remote sensing. IEEE Geoscience and Remote Sensing Magazine, 2019, 7(1): 6–39.

[2] Q. Wang, P. M. Atkinson. Spatio-temporal fusion for daily Sentinel-2 images. Remote Sensing of Environment, 2018, 204: 31–42.

[3] A. Onojeghuo, A. Blackburn, Q. Wang, P. M. Atkinson, D. Kindred, Y. Miao. Rice crop phenology mapping at high spatial and temporal resolution using downscaled MODIS time-series. GIScience & Remote Sensing, 2018, 55(5): 659–677.

[4] A. Onojeghuo, A. Blackburn, Q. Wang, P. M. Atkinson, D. Kindred, Y. Miao. Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data. International Journal of Remote Sensing, 2018, 39(4): 1042–1067.

[5] Q. Wang, Y. Zhang, A. Onojeghuo, X. Zhu, P. M. Atkinson. Enhancing spatio-temporal fusion of MODIS and Landsat data by incorporating 250 m MODIS data. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2017, 10(9): 4116–4123.

[6] H. Zhang, Q. Wang*, W. Shi, M. Hao. A novel adaptive fuzzy local information c-means clustering algorithm for remotely sensed image classification. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(9): 5057–5068.

[7] Q. Wang, A. Blackburn, A. Onojeghu, J. Dash, L. Zhou, Y. Zhang, P. M. Atkinson. Fusion of Landsat 8 OLI and Sentinel-2 MSI data. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(7): 3885–3899.

[8] Q. Wang, P. M. Atkinson. The effect of the point spread function on sub-pixel mapping. Remote Sensing of Environment, 2017, 193: 127–137.

[9] Y. Zhang, P. M. Atkinson, F. Ling, Q. Wang, X. Li, Y. Du. Spectral-spatial adaptive area-to-point regression kriging for MODIS image downscaling. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2017, 10(5): 1883–1896.

[10] Q. Wang, W. Shi, P. M. Atkinson, Q. Wei. Approximate area-to-point regression kriging for fast hyperspectral image sharpening. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2017, 10(1): 286–295.

[11] Y. Zhang, P. M. Atkinson, X. Li, F. Ling, Q. Wang, Y. Du. Learning-based spatial-temporal super-resolution mapping of forest cover with MODIS images. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(1): 600–614.

[12] Q. Wang, W. Shi, Z. Li, P. M. Atkinson. Fusion of Sentinel-2 images. Remote Sensing of Environment, 2016, 187: 241–252.

[13] Z. Li, W. Shi, P. Lu, L. Yan, Q. Wang, Z. Miao. Landslide mapping from aerial photographs using change detection-based Markov random field. Remote Sensing of Environment, 2016, 187: 76–90.

[14] M. Hao, W. Shi, H. Zhang, Q. Wang, K. Deng. A scale-driven change detection method incorporating uncertainty analysis for remote sensing images. Remote Sensing, 2016, 8(9):745.

[15] Q. Wang, W. Shi, P. M. Atkinson. Spatiotemporal subpixel mapping of time-series images. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(9): 5397–5411.

[16] Y. Du, Y. Zhang, F. Ling, Q. Wang, W. Li , X. Li. Water bodies’ mapping from Sentinel-2 imagery with modified normalized difference water index at 10-m spatial resolution produced by sharpening the SWIR band. Remote Sensing, 2016, 8(4):354.

[17] Q. Wang, W. Shi, P. M. Atkinson. Area-to-point regression kriging for pan-sharpening. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 114: 151–165.

[18] Z. Li, W. Shi, S. W. Myint, P. Lu, Q. Wang. Semi-automated landslide inventory mapping from bitemporal aerial photographs using change detection and level set method. Remote Sensing of Environment, 2016, 175: 215–230.

[19] Q. Wang, W. Shi, P. M. Atkinson, E. Pardo-Iguzquiza. A new geostatistical solution to remote sensing image downscaling. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 386–396.

[20] Q. Wang, W. Shi, P. M. Atkinson, Y. Zhao. Downscaling MODIS images with area-to-point regression kriging. Remote Sensing of Environment, 2015, 166: 191–204.

[21] L. Wang, S. Hao, Q. Wang*, P. M. Atkinson. A multiple-mapping kernel for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 2015, 12(5): 978–982.

[22] Q. Wang, P. M. Atkinson, W. Shi. Fast subpixel mapping algorithms for subpixel resolution change detection. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4): 1692–1706.

[23] Q. Wang, W. Shi, P. M. Atkinson, Z. Li. Land cover change detection at subpixel resolution with a Hopfield neural network. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2015, 8(3): 1339–1352.

[24] Z. Li, W. Shi, Q. Wang, Z. Miao. Extracting man-made objects from high spatial resolution remote sensing images via fast level set evolutions. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(2): 883–899.

[25] Q. Wang, P. M. Atkinson, W. Shi. Indicator cokriging-based subpixel mapping without prior spatial structure information. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(1): 309–323.

[26] L. Wang*, S. Hao, Q. Wang*, Y. Wang. Semi-supervised classification for hyperspectral imagery based on spatial-spectral label propagation. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 97: 123–137.

[27] Y. Chen, Y. Ge, Q. Wang, Y. Jiang. A subpixel mapping algorithm combining pixel-level and subpixel-level spatial dependences with binary integer programming. Remote Sensing Letters, 2014, 5(10): 902–911.

[28] Q. Wang, W. Shi, H. Zhang. Class allocation for soft-then-hard subpixel mapping algorithms with adaptive visiting order of classes. IEEE Geoscience and Remote Sensing Letters, 2014, 11(9): 1494–1498.

[29] L. Wang, S. Hao, Y. Wang, Y. Lin, Q. Wang. Spatial-spectral information-based semi-supervised classification algorithm for hyperspectral imagery. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2014, 7(8): 3577–3585.

[30] Q. Wang, W. Shi. Utilizing multiple subpixel shifted image in subpixel mapping with image interpolation. IEEE Geoscience and Remote Sensing Letters, 2014, 11(4): 798–802.

[31] W. Shi, Z. Miao, Q. Wang, H. Zhang. Spectral-spatial classification and shape features for urban road centerline extraction. IEEE Geoscience and Remote Sensing Letters, 2014, 11(4): 788–792.

[32] Q. Wang, W. Shi, P. M. Atkinson. Sub-pixel mapping of remote sensing images based on radial basis function interpolation. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 92: 1–15.

[33] Q. Wang, W. Shi, L. Wang. Allocating classes for soft-then-hard subpixel mapping algorithms in units of class. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(5): 2940–2959.

[34] Q. Wang, W. Shi, L. Wang. Indicator cokriging-based subpixel land cover mapping with shifted images. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2014, 7(1): 327–339.

[35] L. Wang, D. Liu, Q. Wang. Spectral unmixing model based on least squares support vector machine with unmixing residue constraints. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6): 1592–1596.

[36] Q. Wang, W. Shi. Unsupervised classification based on fuzzy c-means with uncertainty analysis. Remote Sensing Letters, 2013, 4(11): 1087–1096.

[37] L. Wang, D. Liu, Q. Wang. Geometric method of fully constrained least squares linear spectral mixture analysis. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(6): 3558–3566.

[38] L. Wang, Q. Wang*. Subpixel mapping using Markov random field with multiple spectral constraints from subpixel shifted remote sensing images. IEEE Geoscience and Remote Sensing Letters, 2013, 10(3): 598–602.

[39] L. Wang, F. Wei, D. Liu, Q. Wang. Fast implementation of maximum simplex volume-based endmember extraction in original hyperspectral data space. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2013, 6(2): 516–521.

[40] Q. Wang, L. Wang, D. Liu. Particle swarm optimization-based sub-pixel mapping for remote-sensing imagery. International Journal of Remote Sensing, 2012, 33(20): 6480–6496.

Codes

• Sub-pixel mapping of remote sensing images based on radial basis function interpolation
  RBF-based sub-pixel mapping (Code)

• Fusion of Sentinel-2 images
  Downscaling MODIS images with area-to-point regression kriging
  ATPRK (Code)

• Spatio-temporal fusion for daily Sentinel-2 images
  Fit-FC (Code)

• Virtual image pair-based spatio-temporal fusion
  VIPSTF-SW (Code)

• Information loss-guided multi-resolution image fusion
  ILGIF (Code)

• Spatial-spectral radial basis function-based interpolation for Landsat ETM+ SLC-Off image gap filling
  SSRBF (Code)

Datasets

• Thirty-meter map of young forest age in China  (https://doi.org/10.6084/m9.figshare.21627023.v7)
  Y. Xiao, Q. Wang, X. Tong, P. M. Atkinson. Thirty-meter map of young forest age in China. Earth System Science Data, 2023, 15: 3365–3386.

• Thirty-meter map of global natural and planted forests  (https://doi.org/10.5281/zenodo.10701417)
  Y. Xiao, Q. Wang, H. K. Zhang. Global natural and planted forests mapping at fine spatial resolution of 30 m. Journal of Remote Sensing, 2024, 4: 0204.

• VIPSTF-9  (https://doi.org/10.6084/m9.figshare.14634276)
  H. Yang, Q. Wang, W. Zhao, X. Tong, P. M. Atkinson. Reconstruction of global 9 km, 8-day SMAP surface soil moisture dataset during 2015-2020 by spatio-temporal fusion. Journal of Remote Sensing, 2022, 9871246.

• Hist_SMAP  (https://doi.org/10.6084/m9.figshare.17621765)
  H. Yang, Q. Wang, W. Zhao, P. M. Atkinson. Reconstruction of historical SMAP soil moisture dataset from 1979 to 2015 using CCI time-series. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 4502619.

• Spatially seamless daily SMAP (SSD_SMAP)  (https://doi.org/10.6084/m9.figshare.20279514)
  H. Yang, Q. Wang. Reconstruction of a spatially seamless, daily SMAP (SSD_SMAP) surface soil moisture dataset from 2015 to 2021. Journal of Hydrology, 2023, 621: 129579.

Professional Service

Editorship

• 2021 – Present      Editorial Board, Remote Sensing of Environment
• 2020 – Present      Associate Editor, Science of Remote Sensing (sister journal of RSE)
• 2017 – Present      Associate Editor, Photogrammetric Engineering & Remote Sensing
• 2017 – 2020           Associate Editor, Computers & Geosciences

Journal Reviewer

• Advances in Space Research
• Atmospheric Environment
• Canadian Journal of Remote Sensing
• Computers & Geosciences
• Computer Methods and Programs in Biomedicine
• Computer Modeling in Engineering & Sciences
• GIScience & Remote Sensing
• Environment International
• European Journal of Remote Sensing
• Forest Ecology and Management
• IEEE Transactions on Geoscience and Remote Sensing
• IEEE Transactions on Cybernetics
• IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing
• IEEE Geoscience and Remote Sensing Letters
• IET Image Processing
• International Journal of Applied Earth Observations and Geoinformation
• International Journal of Geographical Information Science
• International Journal of Remote Sensing
• International Journal of Image and Data Fusion
• ISPRS Journal of Photogrammetry and Remote Sensing
• Journal of Applied Remote Sensing
• Journal of Electronic Imaging
• Journal of Spatial Science
• Multimedia Tools and Applications
• Neurocomputing
• Pattern Recognition Letters
• Photogrammetric Engineering and Remote Sensing
• Remote Sensing of Environment
• Remote Sensing Letters
• Remote Sensing
• Sensors
• Soft Computing
• Sustainable Cities and Society

Awards & Honors

• 2017               Grand Prize of the Science and Technology Progress Award in Surveying and Mapping (Ranking No. 4)
• 2016               Outstanding PhD thesis in Faculty of Construction and Environment, Hong Kong PolyU
• 2012 – 2015   Hong Kong PhD Fellowship
• 2012               Excellent Graduate in Harbin Engineering University, China
• 2012               Excellent Graduate in Heilongjiang Province, China