By Associate Professor Xiuping Jia

Book Chapters

Li M; Jia X, 2022, 'Grassland Classification for Livestock Management Using Multispectral Remote Sensing Imagery', in Advances in Science, Technology and Innovation, pp. 391 - 394, http://dx.doi.org/10.1007/978-3-030-72896-0_89

Jia X, 2017, 'Supervised classification', in Richardson D (ed.), International Encyclopedia of Geography, 15 Volume Set People, the Earth, Environment and Technology, John Wiley & Sons

Sarker CD; Jia X; Fraser D, 2015, 'Spectral unmixing with estimated adaptive endmember index using extended support vector machine', in Dutt AK; Noble A; Costa F; Thakur S; Thakur R; Sharma HA (ed.), Spatial Diversity and Dynamics in Resources and Urban Development: Volume 1: Regional Resources, Springer, pp. 37 - 72, http://dx.doi.org/10.1007/978-94-017-9771-9

Dey Sarker C; Jia X; Wang L; Fraser D; Lymburner L, 2015, 'Spectral Unmixing with Estimated Adaptive Endmember Index Using Extended Support Vector Machine', in Spatial Diversity and Dynamics in Resources and Urban Development, Springer Netherlands, pp. 37 - 71, http://dx.doi.org/10.1007/978-94-017-9771-9_3

Ng TF; Jia X; Fraser D; Pham TD, 2013, 'Fuzzy knowledge-based subspace clustering for life science data analysis', in Pham TD; Jain LC (ed.), Knowledge-Based Systems in Biomedicine and Computational Life Science, Springer, pp. 177 - 213, http://dx.doi.org/10.1007/978-3-642-33015-5_8

Li F; Jia X; Fraser D; Lambert AJ, 2012, 'Super Resolution for multispectral image classification', in Gunturk BK; Li X (ed.), Image Restoration: fundamentals and advances, CRC Press, pp. 217 - 247

Jia X; Richards J, 2007, 'Hyperspectral Data Representation', in Chang CI (ed.), Hyperspectral Data Exploitation ? Theory and Applications, John Wiley & Sons, Hoboken, New Jersey, USA, pp. 205 - 225

Wang L; Jia X; Zhang Y, 2006, 'Construction of Fast and Robust N-FINDR Algorithm', in Huang D; Irwin G (ed.), Intelligent Computing in Signal Processing and Pattern Recognition International Conference on Intelligent Computing, August, 2006, Springer Verlag, pp. 791 - 796

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