Dr Qishuo Gao
Post-Doc Fellow

Dr Qishuo Gao

Arts,Design & Architecture
City Futures Research Centre

 

Qishuo Gao received the B.S. degree in engineering from Hebei University of Technology, Tianjin, China, in 2012, the M.S. degree in engineering from Beihang University, Beijing, China, in 2015 and the Ph.D. degree from University of New South Wales, Sydney, Australia in 2019.

Her research interests include Big Data and Geographic Information Systems for Asset/Utility Management, Image Time Series Analysis for Land Use Change Detection and Hyperspectral Remote Sensing for Land Cover Classification

 
E-mail
qishuo.gao@unsw.edu.au
  • Journal articles | 2019
    Gao Q; Lim S, 2019, 'A probabilistic fusion of a support vector machine and a joint sparsity model for hyperspectral imagery classification', GIScience and Remote Sensing, vol. 56, pp. 1129 - 1147, http://dx.doi.org/10.1080/15481603.2019.1623003
    Journal articles | 2019
    Gao Q; Lim S, 2019, 'Classification of hyperspectral images with convolutional neural networks and probabilistic relaxation', Computer Vision and Image Understanding, http://dx.doi.org/10.1016/j.cviu.2019.102801
    Journal articles | 2019
    Gao Q; Lim S; Jia X, 2019, 'Spectral-spatial hyperspectral image classification using a multiscale conservative smoothing scheme and adaptive sparse representation', IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 7718 - 7730, http://dx.doi.org/10.1109/TGRS.2019.2915809
    Journal articles | 2018
    Gao Q; Lim S; Jia X, 2018, 'Hyperspectral image classification using convolutional neural networks and multiple feature learning', Remote Sensing, vol. 10, http://dx.doi.org/10.3390/rs10020299
    Journal articles | 2018
    Gao Q; Lim S; Jia X, 2018, 'Hyperspectral image classification using joint sparse model and discontinuity preserving relaxation', IEEE Geoscience and Remote Sensing Letters, vol. 15, pp. 78 - 82, http://dx.doi.org/10.1109/LGRS.2017.2774253
    Journal articles | 2018
    Gao Q; Lim S; Jia X, 2018, 'Improved joint sparse models for hyperspectral image classification based on a novel neighbour selection strategy', Remote Sensing, vol. 10, http://dx.doi.org/10.3390/rs10060905
  • Conference Papers | 2018
    Gao Q; Lim S, 2018, 'Hyperspectral image classification based on a convolutional neural network and discontinuity preserving relaxation', in International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3591 - 3594, http://dx.doi.org/10.1109/IGARSS.2018.8517463
    Conference Papers | 2017
    Gao Q; Lim S; Jia X, 2017, 'Classification of hyperspectral imagery based on dictionary learning and extended multi-attribute profiles', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Shanghai, China, pp. 358 - 369, presented at 9th International Conference, ICIG 2017, Shanghai, China, 13 September 2017 - 15 September 2017, http://dx.doi.org/10.1007/978-3-319-71598-8_32