| 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 | 423 | 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 | 157 | 2020 |
| Federated transfer learning: concept and applications S Saha, T Ahmad Intelligenza Artificiale 15 (1), 35-44, 2021 | 101 | 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 | 87 | 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 | 81 | 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 | 64 | 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 | 56 | 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 | 56 | 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 | 46 | 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 | 37 | 2019 |
| 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 | 33 | 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 | 32 | 2019 |
| 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 | 31 | 2022 |
| 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 | 29 | 2021 |
| Destroyed-buildings detection from VHR SAR images using deep features S Saha, F Bovolo, L Bruzzone Image and signal processing for remote sensing XXIV 10789, 336-344, 2018 | 28 | 2018 |
| 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 | 26 | 2022 |
| 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 | 25 | 2022 |
| Change detection in hyperdimensional images using untrained models S Saha, L Kondmann, Q Song, XX Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 24 | 2021 |
| 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 | 20 | 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 | 20 | 2022 |
Xiao Xiang ZhuTechnical University of MunichBestätigte E-Mail-Adresse bei tum.de