Items where Author is "Wang, Jing"

2026

Yu, D., Wang, J., Li, Z., Lou, H. and Rong, S. (2026) SATMtracker: Hyperspectral object tracking based on scale-adaptive tensorSSA feature and motion evaluator. Journal of Visual Communication and Image Representation, 117 . p. 104774. https://doi.org/10.1016/j.jvcir.2026.104774

Ouwerkerk, D., Stewart, P., Bray, S. G., Gilbert, R. A., Bowen, M. K., Tahmasbian, I., Wang, J., Gravel, J. L., Maguire, A. J., Escobar Correas, S., Dayman, M., Goodwin, K. L., Mayer, D. G., Spiegel, N. B., Reid, D. J., Buck, S. R., Knight, B. and McCauley, G. (2026) Discovering Northern Australia’s low methane feedbase potential. In: 2026 NBRUC conference handbook : Proceedings of the Northern Beef Research Update Conference.

Yang, W., Wu, D., Bai, J., Wang, J., Rong, S. and Zhou, J. (2026) FedDA-HSI: Federated Class-Aware Framework for Hyperspectral Image Classification With Diffusion Augmentation. IEEE Transactions on Geoscience and Remote Sensing, 64 . pp. 1-17. https://doi.org/10.1109/TGRS.2026.3660734

Wu, X., Wang, J., Wang, J., Rong, S. and He, B. (2026) UMono: Physical-Model-Informed Hybrid CNN–Transformer Framework for Underwater Monocular Depth Estimation. IEEE Journal of Oceanic Engineering, 51 (1). pp. 780-793. https://doi.org/10.1109/JOE.2025.3606045

2025

Luan, X., Wang, J., Rong, S., Yu, H. and He, B. (2025) Degradation information-guided Mamba for underwater image enhancement. Optics & Laser Technology, 192 . p. 113542. https://doi.org/10.1016/j.optlastec.2025.113542

2024

Tahmasbian, I., Wang, J., Hosseini Bai, S. and Simpfendorfer, S. (2024) Hyperspectral images captured from wheat grain samples with different levels of DON contamination. [Dataset] https://doi.org/10.60699/nrmy-9a65

Yang, J. X., Zhou, J., Wang, J., Tian, H. and Liew, A. W.-C. (2024) LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 62 . pp. 1-15. https://doi.org/10.1109/TGRS.2024.3389651

Tahmasbian, I. and Wang, J. (2024) Python and MATLAB script used for analysing (regression and classification) the data extracted from hyperspectral images of wheat grain samples infected by Fusarium graminearum. [Dataset] https://doi.org/10.60699/qvsp-0w71

Tahmasbian, I., Wang, J., Simpfendorfer, S., Reid, R., Sultanbawa, Y., Seididamyeh, M. and Hosseini Bai, S. (2024) Reflectance values extracted from hyperspectral images captured from wheat grain samples along with reference DON concentrations. [Dataset] https://doi.org/10.60699/5z9b-ze09