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
, 2023, 'Machine learning approach to residential valuation: a convolutional neural network model for geographic variation', The Annals of Regional Science: international journal of urban, regional and environmental research and policy, 72, pp. 579 - 599, http://dx.doi.org/10.1007/s00168-023-01212-7
, 2022, 'Property Valuation using Machine Learning Algorithms on Statistical Areas in Greater Sydney, Australia', Land Use Policy: the international journal covering all aspects of land use, 123, pp. 106409, http://dx.doi.org/10.1016/j.landusepol.2022.106409
, 2019, 'A probabilistic fusion of a support vector machine and a joint sparsity model for hyperspectral imagery classification', GIScience and Remote Sensing, 56, pp. 1129 - 1147, http://dx.doi.org/10.1080/15481603.2019.1623003
, 2019, 'Classification of hyperspectral images with convolutional neural networks and probabilistic relaxation', Computer Vision and Image Understanding, 188, pp. 102801, http://dx.doi.org/10.1016/j.cviu.2019.102801
, 2019, 'Spectral-spatial hyperspectral image classification using a multiscale conservative smoothing scheme and adaptive sparse representation', IEEE Transactions on Geoscience and Remote Sensing, 57, pp. 7718 - 7730, http://dx.doi.org/10.1109/TGRS.2019.2915809
, 2018, 'Improved joint sparse models for hyperspectral image classification based on a novel neighbour selection strategy', Remote Sensing, 10, pp. 905, http://dx.doi.org/10.3390/rs10060905
, 2018, 'Hyperspectral image classification using convolutional neural networks and multiple feature learning', Remote Sensing, 10, pp. 299, http://dx.doi.org/10.3390/rs10020299
, 2018, 'Hyperspectral image classification using joint sparse model and discontinuity preserving relaxation', IEEE Geoscience and Remote Sensing Letters, 15, pp. 78 - 82, http://dx.doi.org/10.1109/LGRS.2017.2774253
, 2018, 'Hyperspectral image classification based on a convolutional neural network and discontinuity preserving relaxation', in International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers (IEEE), pp. 3591 - 3594, presented at
, 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