| A deep convolutional coupling network for change detection based on heterogeneous optical and radar images J Liu, M Gong, K Qin, P Zhang IEEE transactions on neural networks and learning systems 29 (3), 545-559, 2016 | 476 | 2016 |
| Change detection based on deep feature representation and mapping transformation for multi-spatial-resolution remote sensing images P Zhang, M Gong, L Su, J Liu, Z Li ISPRS Journal of Photogrammetry and Remote Sensing 116, 24-41, 2016 | 307 | 2016 |
| Feature learning and change feature classification based on deep learning for ternary change detection in SAR images M Gong, H Yang, P Zhang ISPRS Journal of Photogrammetry and Remote Sensing 129, 212-225, 2017 | 260 | 2017 |
| Near real-time wildfire progression monitoring with Sentinel-1 SAR time series and deep learning Y Ban, P Zhang, A Nascetti, AR Bevington, MA Wulder Scientific reports 10 (1), 1322, 2020 | 242 | 2020 |
| Superpixel-based difference representation learning for change detection in multispectral remote sensing images M Gong, T Zhan, P Zhang, Q Miao IEEE Transactions on Geoscience and Remote sensing 55 (5), 2658-2673, 2017 | 209 | 2017 |
| Feature-level change detection using deep representation and feature change analysis for multispectral imagery H Zhang, M Gong, P Zhang, L Su, J Shi IEEE Geoscience and Remote Sensing Letters 13 (11), 1666-1670, 2016 | 164 | 2016 |
| Generative adversarial networks for change detection in multispectral imagery M Gong, X Niu, P Zhang, Z Li IEEE Geoscience and Remote Sensing Letters 14 (12), 2310-2314, 2017 | 130 | 2017 |
| Coupled dictionary learning for change detection from multisource data M Gong, P Zhang, L Su, J Liu IEEE Transactions on Geoscience and Remote sensing 54 (12), 7077-7091, 2016 | 126 | 2016 |
| Learning U-Net without forgetting for near real-time wildfire monitoring by the fusion of SAR and optical time series P Zhang, Y Ban, A Nascetti Remote Sensing of Environment 261, 112467, 2021 | 77 | 2021 |
| Deep learning and mapping based ternary change detection for information unbalanced images L Su, M Gong, P Zhang, M Zhang, J Liu, H Yang Pattern Recognition 66, 213-228, 2017 | 70 | 2017 |
| Iterative feature mapping network for detecting multiple changes in multi-source remote sensing images T Zhan, M Gong, J Liu, P Zhang ISPRS Journal of Photogrammetry and Remote Sensing 146, 38-51, 2018 | 49 | 2018 |
| Unsupervised difference representation learning for detecting multiple types of changes in multitemporal remote sensing images P Zhang, M Gong, H Zhang, J Liu, Y Ban IEEE Transactions on Geoscience and Remote Sensing 57 (4), 2277-2289, 2018 | 49 | 2018 |
| An implicit radar convolutional burn index for burnt area mapping with Sentinel-1 C-band SAR data P Zhang, A Nascetti, Y Ban, M Gong ISPRS Journal of Photogrammetry and Remote Sensing 158, 50-62, 2019 | 37 | 2019 |
| Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models X Hu, P Zhang, Y Ban ISPRS Journal of Photogrammetry and Remote Sensing 196, 228-240, 2023 | 28 | 2023 |
| GAN-based SAR and optical image translation for wildfire impact assessment using multi-source remote sensing data X Hu, P Zhang, Y Ban, M Rahnemoonfar Remote Sensing of Environment, 2023 | 18 | 2023 |
| JL-GFDN: A novel gabor filter-based deep network using joint spectral-spatial local binary pattern for hyperspectral image classification T Zhang, P Zhang, W Zhong, Z Yang, F Yang Remote Sensing 12 (12), 2016, 2020 | 16 | 2020 |
| Detecting multiple changes from multi-temporal images by using stacked denosing autoencoder based change vector analysis L Su, J Shi, P Zhang, Z Wang, M Gong 2016 International Joint Conference on Neural Networks (IJCNN), 1269-1276, 2016 | 14 | 2016 |
| Total-variation regularized U-Net for wildfire burned area mapping based on Sentinel-1 C-Band SAR backscattering data P Zhang, Y Ban, A Nascetti ISPRS Journal of Photogrammetry and Remote Sensing 203, 301-313, 2023 | 12 | 2023 |
| Wildfire-S1S2-Canada: A Large-Scale Sentinel-1/2 Wildfire Burned Area Mapping Dataset Based on the 2017–2019 Wildfires in Canada P Zhang, X Hu, Y Ban IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 10 | 2022 |
| Assessing Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 Data for Large-Scale Wildfire-Burned Area Mapping: Insights from the 2017–2019 Canada Wildfires P Zhang, X Hu, Y Ban, A Nascetti, M Gong Remote Sensing 16 (3), 556, 2024 | 9 | 2024 |
Maoguo Gong （公茂果）Professor, Xidian University, Xi'an, China （西安电子科技大学 教授）Verifierad e-postadress på ieee.org