| Deep learning meets SAR: Concepts, models, pitfalls, and perspectives XX Zhu, S Montazeri, M Ali, Y Hua, Y Wang, L Mou, Y Shi, F Xu, R Bamler IEEE Geoscience and Remote Sensing Magazine 9 (4), 143-172, 2021 | 201 | 2021 |
| A relation-augmented fully convolutional network for semantic segmentation in aerial scenes L Mou, Y Hua, XX Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 183 | 2019 |
| Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification Y Hua, L Mou, XX Zhu ISPRS journal of photogrammetry and remote sensing 149, 188-199, 2019 | 139 | 2019 |
| Relation matters: Relational context-aware fully convolutional network for semantic segmentation of high-resolution aerial images L Mou, Y Hua, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 58 (11), 7557-7569, 2020 | 122 | 2020 |
| Relation network for multilabel aerial image classification Y Hua, L Mou, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4558-4572, 2020 | 76 | 2020 |
| Semantic segmentation of remote sensing images with sparse annotations Y Hua, D Marcos, L Mou, XX Zhu, D Tuia IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 74 | 2021 |
| So2Sat LCZ42: A benchmark data set for the classification of global local climate zones [Software and Data Sets] XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Haberle, Y Hua, ... IEEE Geoscience and Remote Sensing Magazine 8 (3), 76-89, 2020 | 73 | 2020 |
| So2Sat LCZ42: A benchmark dataset for global local climate zones classification XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Häberle, Y Hua, ... arXiv preprint arXiv:1912.12171, 2019 | 73 | 2019 |
| 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 | 60 | 2021 |
| CG-Net: Conditional GIS-Aware network for individual building segmentation in VHR SAR images Y Sun, Y Hua, L Mou, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 38 | 2021 |
| Era: A data set and deep learning benchmark for event recognition in aerial videos [software and data sets] L Mou, Y Hua, P Jin, XX Zhu IEEE Geoscience and Remote Sensing Magazine 8 (4), 125-133, 2020 | 29 | 2020 |
| Ambient sound helps: Audiovisual crowd counting in extreme conditions D Hu, L Mou, Q Wang, J Gao, Y Hua, D Dou, XX Zhu arXiv preprint arXiv:2005.07097, 2020 | 29 | 2020 |
| Instance segmentation of buildings using keypoints Q Li, L Mou, Y Hua, Y Sun, P Jin, Y Shi, XX Zhu IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 24 | 2020 |
| Building footprint generation through convolutional neural networks with attraction field representation Q Li, L Mou, Y Hua, Y Shi, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 21 | 2021 |
| Label relation inference for multi-label aerial image classification Y Hua, L Mou, XX Zhu IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 20 | 2019 |
| Aerial scene understanding in the wild: Multi-scene recognition via prototype-based memory networks Y Hua, L Mou, J Lin, K Heidler, XX Zhu ISPRS Journal of Photogrammetry and Remote Sensing 177, 89-102, 2021 | 15 | 2021 |
| Large-scale building height estimation from single VHR SAR image using fully convolutional network and GIS building footprints Y Sun, Y Hua, L Mou, XX Zhu 2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019 | 15 | 2019 |
| Learning multi-label aerial image classification under label noise: A regularization approach using word embeddings Y Hua, S Lobry, L Mou, D Tuia, XX Zhu IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 14 | 2020 |
| LAHNet: A convolutional neural network fusing low-and high-level features for aerial scene classification Y Hua, L Mou, XX Zhu IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 13 | 2018 |
| Crossgeonet: A framework for building footprint generation of label-scarce geographical regions Q Li, L Mou, Y Hua, Y Shi, XX Zhu International Journal of Applied Earth Observation and Geoinformation 111 …, 2022 | 9 | 2022 |
Lichao MouGerman Aerospace Center (DLR), Technical University of Munich (TUM)Bestätigte E-Mail-Adresse bei dlr.de
