Deep learning for hyperspectral image classification: An overview S Li, W Song, L Fang, Y Chen, P Ghamisi, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6690-6709, 2019 | 1552 | 2019 |
Hyperspectral image classification with deep feature fusion network W Song, S Li, L Fang, T Lu IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3173-3184, 2018 | 533 | 2018 |
Deep hashing learning for visual and semantic retrieval of remote sensing images W Song, S Li, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 59 (11), 9661-9672, 2020 | 65 | 2020 |
Hyperspectral image classification based on KNN sparse representation W Song, S Li, X Kang, K Huang 2016 IEEE international geoscience and remote sensing symposium (IGARSS …, 2016 | 61 | 2016 |
Deep hashing neural networks for hyperspectral image feature extraction L Fang, Z Liu, W Song IEEE Geoscience and Remote Sensing Letters 16 (9), 1412-1416, 2019 | 60 | 2019 |
Hashing-based deep metric learning for the classification of hyperspectral and LiDAR data W Song, Y Dai, Z Gao, L Fang, Y Zhang IEEE Transactions on Geoscience and Remote Sensing, 2023 | 25 | 2023 |
Joint learning of semantic segmentation and height estimation for remote sensing image leveraging contrastive learning Z Gao, W Sun, Y Lu, Y Zhang, W Song, Y Zhang, R Zhai IEEE Transactions on Geoscience and Remote Sensing, 2023 | 12 | 2023 |
Small object detection leveraging density‐aware scale adaptation Y Wan, Z Liao, J Liu, W Song, H Ji, Z Gao The photogrammetric record 38 (182), 160-175, 2023 | 11 | 2023 |
Feature disentangling and reciprocal learning with label-guided similarity for multi-label image retrieval Y Dai, W Song, Y Li, L Di Stefano Neurocomputing 511, 353-365, 2022 | 9 | 2022 |
RGB-D SLAM in dynamic environments with multilevel semantic mapping Y Qin, T Mei, Z Gao, Z Lin, W Song, X Zhao Journal of Intelligent & Robotic Systems 105 (4), 90, 2022 | 6 | 2022 |
PDD: Post-Disaster Dataset for Human Detection and Performance Evaluation H Song, W Song, L Cheng, Y Wei, J Cui IEEE Transactions on Instrumentation and Measurement, 2023 | 5 | 2023 |
Global-guided weakly-supervised learning for multi-label image classification Y Dai, W Song, Z Gao, L Fang Journal of Visual Communication and Image Representation 93, 103823, 2023 | 5 | 2023 |
Discriminative feature extraction and fusion for classification of hyperspectral and LiDAR data W Song, Z Gao, Y Zhang IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 4 | 2022 |
Hyperspectral images classification with hybrid deep residual network W Song, S Li, Y Li 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 4 | 2017 |
Similarity-preserving deep features for hyperspectral image classification W Song, L Fang, S Li IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 3 | 2018 |
Small Object Detection in Unmanned Aerial Vehicle Images Leveraging Density-Aware Scale Adaptation and Knowledge Distillation Y Wan, Z Luan, J Hu, H Ji, W Song, Z Gao 2024 IEEE 18th International Conference on Control & Automation (ICCA), 699-704, 2024 | 1 | 2024 |
A New Multi-Level Attention Feature Fusion Method for Hyperspectral and Lidar Data Joint Classification W Song, Z Gao, L Fang, Y Zhang IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 1 | 2023 |
Hierarchical GNN Framework for Earth’s Surface Anomaly Detection in Single Satellite Imagery B Chen, Z Gao, Z Li, S Liu, A Hu, W Song, Y Zhang, Q Wang IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |
Asymmetric hash code learning for remote sensing image retrieval W Song, Z Gao, R Dian, P Ghamisi, Y Zhang, J A Benediktsson IEEE Transactions on Geoscience and Remote Sensing 60, 2022 | | 2022 |