Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Group by: Publication Date | Item type | No Grouping
Number of items: 18.

Article

Ha, Viet Khanh and Ren, Jinchang and Xu, Xinying and Liao, Wenzhi and Zhao, Sophia and Ren, Jie and Yan, Gaowei (2020) Optimized highway deep learning network for fast single image super-resolution reconstruction. Journal of Real-Time Image Processing.

Zhao, Xuemei and Gao, Lianru and Chen, Zhengchao and Zhang, Bing and Liao, Wenzhi (2019) An entropy and MRF model-based CNN for large-scale Landsat image classification. IEEE Geoscience and Remote Sensing Letters, 16 (7). pp. 1145-1149. ISSN 1545-598X

Xue, Jize and Zhao, Yongqiang and Liao, Wenzhi and Chan, Jonathan Cheung-Wai (2019) Nonlocal tensor sparse representation and low-rank regularization for hyperspectral image compressive sensing reconstruction. Remote Sensing, 11 (2). 193. ISSN 2072-4292

Liao, Wenzhi and Vancoillie, Frieke and Gao, Lianru and Li, Liwei and Zhang, Bing and Chanussot, Jocelyn (2018) Deep learning for fusion of APEX hyperspectral and full-waveform LiDAR remote sensing data for tree species mapping. IEEE Access, 6. pp. 68716-68729. ISSN 2169-3536

Pan, Xuran and Gao, Lianru and Zhang, Bing and Yang, Fan and Liao, Wenzhi (2018) High-resolution aerial imagery semantic labeling with dense pyramid network. Sensors, 18 (11). pp. 1-15. 3774. ISSN 1424-8220

Xue, Jize and Zhao, Yongqiang and Liao, Wenzhi and Chan, Jonathan Cheung-Wai (2018) Total variation and Rank-1 constraint RPCA for background subtraction. IEEE Access, 6. pp. 49955-49966. ISSN 2169-3536 (In Press)

Guo, Zhixin and Liao, Wenzhi and Xiao, Yifan and Veelaert, Peter and Philips, Wilfried (2018) An occlusion-robust feature selection framework in pedestrian detection. Sensors, 18 (7). 2272. ISSN 1424-8220

Yu, Haoyang and Gao, Lianru and Liao, Wenzhi and Zhang, Bing (2018) Group sparse representation based on nonlocal spatial and local spectral similarity for hyperspectral imagery classification. Sensors, 18 (6). 1695. ISSN 1424-8220

Zhao, Bin and Gao, Lianru and Liao, Wenzhi and Zhang, Bing and Huang, Xin and Chanussot, Jocelyn (2017) A new kernel method for hyperspectral image feature extraction. Geo-spatial Information Science, 20 (4). pp. 309-318. ISSN 1009-5020

Villegas, Gladys and Liao, Wenzhi and Criollo, Ronald and Philips, Wilfried and Ochoa, Daniel and Huang, Xin and Li, Jiayi and Chanussot, Jocelyn (2017) Detection of leaf structures in close-range hyperspectral images using morphological fusion. Geo-spatial Information Science, 20 (4). pp. 325-332. ISSN 1009-5020

Gao, Lianru and Zhao, Bin and Jia, Xiuping and Liao, Wenzhi and Zhang, Bing (2017) Optimized kernel minimum noise fraction transformation for hyperspectral image classification. Remote Sensing, 9 (6). ISSN 2072-4292

Xie, Xingzhe and Liao, Wenzhi and Aghajan, Hamid and Veelaert, Peter and Philips, Wilfried (2016) Detecting road intersections from GPS traces using longest common subsequence algorithm. ISPRS International Journal of Geo-Information, 6 (1). ISSN 2220-9964

He, Wei and Zhang, Hongyan and Zhang, Liangpei and Philips, Wilfried and Liao, Wenzhi (2016) Weighted sparse graph based dimensionality reduction for hyperspectral images. IEEE Geoscience and Remote Sensing Letters, 13 (5). pp. 686-690. ISSN 1545-598X

Vancoillie, Frieke and Liao, Wenzhi and Devriendt, Flore and Gautama, Sidharta and De Wulf, Robert and Vandekerkhove, Kris (2014) Effect of hyperspectral image denoising with PCA and total variation on tree species mapping using Apex Data. South-Eastern European Journal of Earth Observation and Geomatics, 3 (25). pp. 281-286. ISSN 2241-1224

Conference or Workshop Item

Huang, Shaoguang and Zhang, Hongyan and Liao, Wenzhi and Pizurica, Aleksandra (2018) Robust joint sparsity model for hyperspectral image classification. In: 24th IEEE International Conference on Image Processing (ICIP) 2017, 2017-09-17 - 2017-09-20.

Liu, Chi and Liao, Wenzhi and Li, Heng-Chao and Philips, Wilfried (2017) Non-negative matrix factorization with mixture of Itakura-Saito divergence for SAR images. In: (2017) IEEE International Symposium on Geoscience and Remote Sensing IGARSS., 2017-07-23 - 2017-07-28.

Liao, Wenzhi and Bellens, Rik and Pizurica, Aleksandra and Gautama, Sidharta and Philips, Wilfried and Bernier, Monique and Lévesque, Josée and Garneau, Jean-Marc and LeDrew, Ellsworth (2014) Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data. In: 2014 IEEE Geoscience and Remote Sensing Symposium IGARSS, 2014-07-13 - 2014-07-18.

Kempeneers, Pieter and Vancoillie, Frieke and Liao, Wenzhi and Devriendt, Flore and Vandekerkhove, Kris; Bernier, Monique and Lévesque, Josée and Garneau, Jean-Marc and LeDrew, Ellsworth, eds. (2014) Tree species mapping by combining hyperspectral with LiDAR data. In: 2014 IEEE Geoscience and Remote Sensing Symposium IGARSS, 2014-07-13 - 2014-07-18.

This list was generated on Thu Jul 16 04:50:57 2020 BST.