| Water bodies’ mapping from Sentinel-2 imagery with modified normalized difference water index at 10-m spatial resolution produced by sharpening the SWIR band Y Du, Y Zhang, F Ling, Q Wang, W Li, X Li Remote Sensing 8 (4), 354, 2016 | 759 | 2016 |
| Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art JAB P Ghamisi, B Rasti, N Yokoya, Q Wang, B Hofle, L Bruzzone, F Bovolo, M ... IEEE Geoscience and Remote Sensing Magazine 7 (1), 6-39, 2019 | 404 | 2019 |
| Spatio-temporal fusion for daily Sentinel-2 images Q Wang, PM Atkinson Remote Sensing of Environment 204, 31-42, 2018 | 321 | 2018 |
| Fusion of Sentinel-2 images Q Wang, W Shi, Z Li, PM Atkinson Remote sensing of environment 187, 241-252, 2016 | 235 | 2016 |
| Fusion of Landsat 8 OLI and Sentinel-2 MSI data Q Wang, GA Blackburn, AO Onojeghuo, J Dash, L Zhou, Y Zhang, ... IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3885-3899, 2017 | 185 | 2017 |
| Downscaling MODIS images with area-to-point regression kriging Q Wang, W Shi, PM Atkinson, Y Zhao Remote Sensing of Environment 166, 191-204, 2015 | 162 | 2015 |
| Landslide mapping from aerial photographs using change detection-based Markov random field Z Li, W Shi, P Lu, L Yan, Q Wang, Z Miao Remote sensing of environment 187, 76-90, 2016 | 152 | 2016 |
| Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data AO Onojeghuo, GA Blackburn, Q Wang, PM Atkinson, D Kindred, Y Miao International journal of remote sensing 39 (4), 1042-1067, 2018 | 145 | 2018 |
| Semi-automated landslide inventory mapping from bitemporal aerial photographs using change detection and level set method Z Li, W Shi, SW Myint, P Lu, Q Wang Remote Sensing of Environment 175, 215-230, 2016 | 126 | 2016 |
| Semi-supervised classification for hyperspectral imagery based on spatial-spectral label propagation L Wang, S Hao, Q Wang, Y Wang ISPRS Journal of Photogrammetry and Remote Sensing 97, 123-137, 2014 | 125 | 2014 |
| Sub-pixel mapping of remote sensing images based on radial basis function interpolation Q Wang, W Shi, PM Atkinson ISPRS Journal of Photogrammetry and Remote Sensing 92, 1-15, 2014 | 124 | 2014 |
| Virtual image pair-based spatio-temporal fusion Q Wang, Y Tang, X Tong, PM Atkinson Remote Sensing of Environment 249, 112009, 2020 | 93 | 2020 |
| Spectral-spatial classification and shape features for urban road centerline extraction W Shi, Z Miao, Q Wang, H Zhang IEEE Geoscience and Remote Sensing Letter 11 (4), 788–792, 2014 | 91 | 2014 |
| Particle swarm optimization-based sub-pixel mapping for remote-sensing imagery Q Wang, L Wang, D Liu International journal of remote sensing 33 (20), 6480-6496, 2012 | 91 | 2012 |
| Allocating classes for soft-then-hard subpixel mapping algorithms in units of class Q Wang, W Shi, L Wang IEEE Transactions on Geoscience and Remote Sensing 52 (5), 2940–2959, 2014 | 86 | 2014 |
| A Novel Adaptive Fuzzy Local Information -Means Clustering Algorithm for Remotely Sensed Imagery Classification H Zhang, Q Wang, W Shi, M Hao IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5057-5068, 2017 | 83 | 2017 |
| Land cover change detection at sub-pixel resolution with a Hopfield neural network Q Wang, W Shi, P Atkinson, Z Li IEEE Journal of Selected Topics in Applied Earth Observation and Remote …, 2015 | 81 | 2015 |
| Area-to-point regression kriging for pan-sharpening Q Wang, W Shi, PM Atkinson ISPRS journal of photogrammetry and remote sensing 114, 151-165, 2016 | 77 | 2016 |
| Subpixel mapping using Markov random field with multiple spectral constraints from subpixel shifted remote sensing images L Wang, Q Wang IEEE Geoscience and Remote Sensing Letters 10 (3), 598–602, 2013 | 76 | 2013 |
| Rice crop phenology mapping at high spatial and temporal resolution using downscaled MODIS time-series AO Onojeghuo, GA Blackburn, Q Wang, PM Atkinson, D Kindred, Y Miao GIScience & remote sensing 55 (5), 659-677, 2018 | 65 | 2018 |
Peter M AtkinsonDistinguished Professor and Executive Dean, Faculty of Science and Technology, Lancaster University在 lancaster.ac.uk 的电子邮件经过验证
