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

Professional Service

• 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

Publications

2020

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

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

[4] L. Wang, X. Wang, Q. Wang*. Using 250-m MODIS data for enhancing spatiotemporal fusion by sparse representation. Photogrammetric Engineering and Remote Sensing, 2020, 86(6): 383–392.

[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

[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.