Publications

Call for Papers

Peer-Reviewed Journal Articles

  • Z. Zhang, E. Pasolli, M. M. Crawford, “An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images,” IEEE Transactions on Geoscience and Remote Sensing, 2019, Accepted (to appear soon).
  • Z. Zhang, Y. Jin, B. Chen, P. Brown, “Almond Yield Prediction at the Orchard Level with a Machine Learning Approach,”  Frontiers in Plant Science, 10, 809, 2019.
  • Z. Lv, G. Li, J.A. Benediktsson, Z. Zhang, and J. Yan, 2019. Training sample refining method using an adaptive neighbor to improve the classification performance of very high-spatial resolution remote sensing images. Journal of Applied Remote Sensing, vol. 13, no. 3, 2019.
  • R. Zhao, Z. Shi, Z. Zou, and Z. Zhang. Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection. Remote Sensing, vol. 11, no. 11, 2019.
  • C. Bai and Z. Zhang*, “A least mean square based active disturbance rejection control for an inertially stabilized platform,” Optik, International Journal for Light and Electron Optics, vol. 174, pp. 609-622, 2018.
  • A. Habib, T. Zhou, A. Masjedi, Z. Zhang, J. Flatt and M. M. Crawford, “Boresight calibration of GNSS/INS-assisted push-broom hyperspectral scanners on UAV platforms,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 5, pp. 1734-1749, 2018.
  • ​ Z. Zhang and M. M. Crawford, “A batch-mode regularized multimetric active learning framework for classification of hyperspectral images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp. 6594-6609, 2017.
  • ​A. Habib, Y. Han, W. Xiong, F. He, Z. Zhang and M. M.  Crawford, “Automated ortho-rectification of UAV-based hyperspectral data over an agricultural field using frame RGB imagery,” Remote Sensing, vol. 8, no. 10, pp. 796-817, 2016.
  • Z. Zhang, E. Pasolli, H. L. Yang and M. M. Crawford, “Multimetric active learning for classification of remote sensing data,” IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 7, pp. 1007-1011, 2016.
  •  Z. Zhang, E. Pasolli, M. M. Crawford and J. C. Tilton, “An active learning framework for hyperspectral image classification using hierarchical segmentation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 2, pp. 640-653, 2016.
  •  C. Bai and Z. Zhang, “Acceleration-based mass imbalance feedforward compensation for inertial stabilized platform,” International Journal of Control, Automation, and Systems, vol. 12, no. 3, pp. 609-617, 2014.
  • Z. Zhang and Z. Shi, “Nonnegative matrix factorization based hyperspectral and panchromatic image fusion,” Journal of Neural Computing and Applications, vol. 23, pp. 895-905, 2013.
  •  Z. Zhang, Z. Shi and Z. An, “Hyperspectral and panchromatic image fusion using unmixing-based constrained nonnegative matrix factorization,” Optik, International Journal for Light and Electron Optics, vol. 124, pp. 1601-1608, 2013.
  •  J. Fang, Z. Zhang and X. Gong, “Modeling and simulation of transfer alignment for the distributed POS,” Journal of Chinese Inertial Technology, vol. 20, no. 4, pp. 1-7, 2012.
  • C. Bai and Z. Zhang, “NTD based measurement method of the relative angular velocity of ISP gimbal,” Chinese Journal of Scientific Instrument, vol. 33, no. 9, pp. 1945-1951, 2012.

Conference Proceedings

  • Z. Zhang and M. M. Crawford, “Prediction of sorghum phenotypes using time series UAV image features,” 2017 IEEE Geoscience and Remote Sensing Symposium, Jul. 2017, Fort Worth, USA.
  • K. Ramamurthy, Z. Zhang and A. M. Thompson, “Predictive modeling of sorghum phenotypes with airborne image features,”  2016 KDD Workshop on Data Science for Food, Energy and Water, Aug. 2016, San Francisco, USA.
  • Z. Zhang and M. M. Crawford, “Semi-supervised multi-metric active learning for classification of hyperspectral images,” 2016 IEEE Geoscience and Remote Sensing Symposium, Jul. 2016, Beijing, China.
  • Z. Zhang and M. M. Crawford, “An ensemble active learning approach for spectral-spatial classification of hyperspectral image,” 2015 IEEE Geoscience and Remote Sensing Symposium, Jul. 2015, Milan, Italy.
  • M. M. Crawford, S. Prasad, X. Zhou and Z. Zhang, “Classification of multi-source sensor data with limited labeled data,” in Proceedings of SPIE, Jun. 2015, Baltimore, USA.
  • C. Bai, Z. Zhang and X. Han, “Design and realization of FPGA-based IMU data acquisition system,” 2011 IEEE International Conference of Electron Devices and Solid-State Circuits, Nov. 2011, Tianjin, China.

Publications list available on  Google Scholar