Results for semantic segmentation

Publications & Outputs

1. CFNet: An Eigenvalue Preserved Approach to Multiscale Building Segmentation in High-Resolution Remote Sensing Images

   Liu, Q., Li, Y., Bilal, M., Liu, X., Zhang, Y., Wang, H., Xu, X. & Lu, H., 10/03/2023, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16, p. 2481-2491 11 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

2. An Interpretable Deep Semantic Segmentation Method for Earth Observation

   Zhang, Z., Angelov, P., Almeida Soares, E., Longepe, N. & Mathieu, P. P., 25/01/2023, 2022 IEEE 11th International Conference on Intelligent Systems (IS). Atanassov, K. T., Doukovska, L., Kacprzyk, J., Krawczak, M., Owsinski, J. W., Sgurev, V., Szmidt, E. & Zadrozny, S. (eds.). IEEE, p. 1-8 8 p. (2022 IEEE 11th International Conference on Intelligent Systems (IS)).

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

3. Class-guided Swin Transformer for Semantic Segmentation of Remote Sensing Imagery

   Meng, X., Yang, Y., Wang, L., Wang, T., Li, R. & Zhang, C., 17/10/2022, In: IEEE Geoscience and Remote Sensing Letters. 19, 10, 5 p., 6517505.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

4. A2-FPN for semantic segmentation of fine-resolution remotely sensed images

   Li, R., Wang, L., Zhang, C., Duan, C. & Zheng, S., 28/02/2022, In: International Journal of Remote Sensing. 43, 3, p. 1131-1155 26 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

5. A Novel Transformer based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images

   Wang, L., Li, R., Duan, C., Zhang, C., Meng, X. & Fang, S., 31/01/2022, In: IEEE Geoscience and Remote Sensing Letters. 19, p. 1-5 5 p., 6506105.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

6. MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

   Li, R., Duan, C., Zheng, S., Zhang, C. & Atkinson, P., 31/01/2022, In: IEEE Geoscience and Remote Sensing Letters. 19, 1, 5 p., 8007205.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

7. Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images

   Li, R., Zheng, S., Zhang, C., Duan, C., Su, J. & Atkinson, P., 31/01/2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60, 13 p., 5607713.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

8. Superpixel-Based Attention Graph Neural Network for Semantic Segmentation in Aerial Images

   Diao, Q., Dai, Y., Zhang, C., Wu, Y., Feng, X. & Pan, F., 10/01/2022, In: Remote Sensing. 14, 2, p. 1-17 17 p., 305.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

9. Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images

   Li, R., Zheng, S., Duan, C., Su, J. & Zhang, C., 1/01/2022, In: IEEE Geoscience and Remote Sensing Letters. 19, 8009205.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

10. Scale-Aware Neural Network for Semantic Segmentation of Multi-Resolution Remote Sensing Images

    Wang, L., Zhang, C., Li, R., Duan, C., Meng, X. & Atkinson, P., 10/12/2021, In: Remote Sensing. 13, 24, 19 p., 5015.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review