Peter X Zhong  Peter X Zhong photo       

contact information

Staff Researcher
Melbourne Research Laboratory, Melbourne, Australia
  +61dash03dash86465567

links



2017

Real-time wildfire detection and tracking in Australia using geostationary satellite: Himawari-8
Guang Xu, Xu Zhong
Remote Sensing Letters 8(11), 1052-1061, 2017


2016

Taking the pulse of a plant: dynamic laser speckle analysis of plants
Zhong Xu, Wang Xuezhi, Cooley Nicola, Farrell Peter, Moran Bill
Infrared and Laser Engineering 45(9), 902002--0902002, 2016

Real-time estimation of wildfire perimeters from curated crowdsourcing
Xu Zhong, Matt Duckham, Derek Chong, Kevin Tolhurst
Scientific Reports6, 24206, Nature Publishing Group, 2016

Characterizing the shapes of noisy, non-uniform, and disconnected point clusters in the plane
Xu Zhong, Matt Duckham
Computers, Environment and Urban Systems 57, 48 - 58, 2016

Stream Kriging: Incremental and recursive ordinary Kriging over spatiotemporal data streams
Xu Zhong, Allison Kealy, Matt Duckham
Computers & Geosciences 90, Part A, 134 - 143, 2016

An efficient incremental algorithm for generating the characteristic shape of a dynamic set of points in the plane
Xu Zhong, Matt Duckham
International Journal of Geographical Information Science 0(0), 1-22, 2016


2015


Challenges to Using Decentralized Spatial Algorithms in the Field: The RISERnet Geosensor Network Case Study
Matt Duckham, Xu Zhong, Kevin Toohey
SIGSPATIAL Special 7(2), 14--21, ACM, 2015


2014

Normal vector based dynamic laser speckle analysis for plant water status monitoring
Xu Zhong, Xuezhi Wang, Nicola Cooley, Peter M. Farrell, Sally Foletta, Bill Moran
Optics Communications 313, 256 - 262, 2014


2013

Dynamic laser speckle analysis via normal vector space statistics
Xu Zhong, Xuezhi Wang, Nicola Cooley, Peter Farrell, Bill Moran
Optics Communications 305, 27 - 35, 2013

Application of laser speckle pattern analysis for plant sensing
Xu Zhong, Xuezhi Wang, Nicola Cooley, Peter Farrell, Bill Moran
Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), pp. 876102--876102