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 | 381 | 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 | 140 | 2020 |
Federated transfer learning: concept and applications S Saha, T Ahmad Intelligenza Artificiale 15 (1), 35-44, 2021 | 76 | 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 | 74 | 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 | 74 | 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 | 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 | 54 | 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 | 49 | 2020 |
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 | 35 | 2019 |
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 | 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 | 27 | 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 | 26 | 2022 |
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 | 26 | 2018 |
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 | 25 | 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 | 21 | 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 | 20 | 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 | 19 | 2021 |
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 | 18 | 2022 |
Applying rule-based classification techniques to medical databases: an empirical study RP Datta, S Saha International Journal of Business Intelligence and Systems Engineering 1 (1 …, 2016 | 18 | 2016 |
TrojanDetector: a multi-layer hybrid approach for trojan detection in android applications S Ullah, T Ahmad, A Buriro, N Zara, S Saha Applied Sciences 12 (21), 10755, 2022 | 15 | 2022 |