| Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images S Saha, F Bovolo, L Bruzzone IEEE Transactions on Geoscience and Remote Sensing, 2019 | 470 | 2019 |
| Building change detection in VHR SAR images via unsupervised deep transcoding S Saha, F Bovolo, L Bruzzone IEEE Transactions on Geoscience and Remote Sensing 59 (3), 1917-1929, 2020 | 174 | 2020 |
| Federated transfer learning: Concept and applications S Saha, T Ahmad Intelligenza Artificiale 15 (1), 35-44, 2021 | 129 | 2021 |
| Deep reinforcement learning for band selection in hyperspectral image classification L Mou, S Saha, Y Hua, F Bovolo, L Bruzzone, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 101 | 2021 |
| Self-Supervised Multisensor Change Detection S Saha, P Ebel, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 2021 | 99 | 2021 |
| Semisupervised change detection using graph convolutional network S Saha, L Mou, XX Zhu, F Bovolo, L Bruzzone IEEE Geoscience and Remote Sensing Letters 18 (4), 607-611, 2020 | 93 | 2020 |
| Unsupervised deep transfer learning-based change detection for HR multispectral images S Saha, YT Solano-Correa, F Bovolo, L Bruzzone IEEE Geoscience and Remote Sensing Letters 18 (5), 856-860, 2020 | 72 | 2020 |
| Change detection in image time-series using unsupervised LSTM S Saha, F Bovolo, L Bruzzone IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 65 | 2020 |
| Unsupervised deep joint segmentation of multitemporal high-resolution images S Saha, L Mou, C Qiu, XX Zhu, F Bovolo, L Bruzzone IEEE Transactions on Geoscience and Remote Sensing 58 (12), 8780-8792, 2020 | 63 | 2020 |
| An advanced dirichlet prior network for out-of-distribution detection in remote sensing J Gawlikowski, S Saha, A Kruspe, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022 | 58 | 2022 |
| Unsupervised multiple-change detection in VHR multisensor images via deep-learning based adaptation S Saha, F Bovolo, L Bruzzone IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 45 | 2019 |
| Fusing multi-modal data for supervised change detection P Ebel, S Saha, XX Zhu The international archives of the photogrammetry, remote sensing and spatial …, 2021 | 41 | 2021 |
| Unsupervised single-scene semantic segmentation for earth observation S Saha, M Shahzad, L Mou, Q Song, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2022 | 39 | 2022 |
| Unsupervised change detection using convolutional-autoencoder multiresolution features L Bergamasco, S Saha, F Bovolo, L Bruzzone IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022 | 38 | 2022 |
| Exploring transformer and multilabel classification for remote sensing image captioning H Kandala, S Saha, B Banerjee, XX Zhu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 36 | 2022 |
| Supervised change detection using prechange optical-SAR and postchange SAR data S Saha, M Shahzad, P Ebel, XX Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 34 | 2022 |
| Unsupervised change-detection based on convolutional-autoencoder feature extraction L Bergamasco, S Saha, F Bovolo, L Bruzzone Image and Signal Processing for Remote Sensing XXV 11155, 325-332, 2019 | 33 | 2019 |
| Multitarget domain adaptation for remote sensing classification using graph neural network S Saha, S Zhao, XX Zhu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 32 | 2022 |
| Understanding the role of weather data for earth surface forecasting using a convlstm-based model CA Diaconu, S Saha, S Günnemann, XX Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 32 | 2022 |
| Fetal sex differences in human chorionic gonadotropin fluctuate by maternal race, age, weight and by gestational age JJ Adibi, MK Lee, S Saha, WJ Boscardin, A Apfel, RJ Currier Journal of developmental origins of health and disease 6 (6), 493-500, 2015 | 32 | 2015 |
Xiao Xiang ZhuTechnical University of MunichVerified email at tum.de
