| Multiple classifier system for remote sensing image classification: A review P Du, J Xia, W Zhang, K Tan, Y Liu, S Liu Sensors 12 (4), 4764-4792, 2012 | 330 | 2012 |
| Fusion of difference images for change detection over urban areas P Du, S Liu, P Gamba, K Tan, J Xia IEEE journal of selected topics in applied earth observations and remote …, 2012 | 181 | 2012 |
| Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest K Tan, H Wang, L Chen, Q Du, P Du, C Pan Journal of hazardous materials 382, 120987, 2020 | 159 | 2020 |
| Advances of four machine learning methods for spatial data handling: A review P Du, X Bai, K Tan, Z Xue, A Samat, J Xia, E Li, H Su, W Liu Journal of Geovisualization and Spatial Analysis 4, 1-25, 2020 | 141 | 2020 |
| Caps-TripleGAN: GAN-assisted CapsNet for hyperspectral image classification X Wang, K Tan, Q Du, Y Chen, P Du IEEE Transactions on Geoscience and Remote Sensing 57 (9), 7232-7245, 2019 | 132 | 2019 |
| Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning K Tan, W Ma, L Chen, H Wang, Q Du, P Du, B Yan, R Liu, H Li Journal of Hazardous Materials 401, 123288, 2021 | 129 | 2021 |
| Review of hyperspectral remote sensing image classification PJ Du, JS Xia, ZH Xue, K Tan, HJ Su, R Bao Journal of Remote Sensing 20 (2), 236-256, 2016 | 117 | 2016 |
| A novel semi-supervised hyperspectral image classification approach based on spatial neighborhood information and classifier combination K Tan, J Hu, J Li, P Du ISPRS journal of photogrammetry and remote sensing 105, 19-29, 2015 | 105 | 2015 |
| Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review N Wambugu, Y Chen, Z Xiao, K Tan, M Wei, X Liu, J Li International Journal of Applied Earth Observation and Geoinformation 105 …, 2021 | 100 | 2021 |
| A deep siamese network with hybrid convolutional feature extraction module for change detection based on multi-sensor remote sensing images M Wang, K Tan, X Jia, X Wang, Y Chen Remote Sensing 12 (2), 205, 2020 | 98 | 2020 |
| Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery C Niu, K Tan, X Jia, X Wang Environmental Pollution 286, 117534, 2021 | 89 | 2021 |
| Automatic change detection in high-resolution remote sensing images by using a multiple classifier system and spectral–spatial features K Tan, X Jin, A Plaza, X Wang, L Xiao, P Du IEEE Journal of Selected topics in applied Earth observations and Remote …, 2016 | 87 | 2016 |
| Hyperspectral image classification using band selection and morphological profiles K Tan, E Li, Q Du, P Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 85 | 2013 |
| An efficient semi-supervised classification approach for hyperspectral imagery K Tan, E Li, Q Du, P Du ISPRS Journal of Photogrammetry and Remote Sensing 97, 36-45, 2014 | 78 | 2014 |
| Wavelet SVM in reproducing kernel Hilbert space for hyperspectral remote sensing image classification P Du, K Tan, X Xing Optics Communications 283 (24), 4978-4984, 2010 | 77 | 2010 |
| Anomaly detection for hyperspectral imagery based on the regularized subspace method and collaborative representation K Tan, Z Hou, F Wu, Q Du, Y Chen Remote sensing 11 (11), 1318, 2019 | 76 | 2019 |
| Random forest–based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data K Tan, W Ma, F Wu, Q Du Environmental monitoring and assessment 191, 1-14, 2019 | 72 | 2019 |
| Remote sensing image interpretation for urban environment analysis: methods, system and examples P Du, P Liu, J Xia, L Feng, S Liu, K Tan, L Cheng Remote Sensing 6 (10), 9458-9474, 2014 | 71 | 2014 |
| Object-based change detection using multiple classifiers and multi-scale uncertainty analysis K Tan, Y Zhang, X Wang, Y Chen Remote Sensing 11 (3), 359, 2019 | 70 | 2019 |
| Evaluation of the spatio-temporal pattern of urban ecological security using remote sensing and GIS P Du, J Xia, Q Du, Y Luo, K Tan International journal of remote sensing 34 (3), 848-863, 2013 | 70 | 2013 |
