Group List



Weiliang Fan

Visiting Student

2013.03. -- 2013.06


Nanjing University, Nanjing, China

Email: fanweiliang@163.com

Research Interests

  • Remote Sensing

Education

  • PhD, Nanjing University, China
  • MS, Zhejiang Agricultural and Forestry University, China (2010)
  • BS, Shandong Agricultural University, China (2007)

Current Research Description

  • My current research involves developing new geometrical optical model for remote sensing applications.

PUBLICATIONS

  • Zhujun Gu, Weimin Ju, Yibo Liu, Dengqiu Li, Weiliang Fan. Applicability of Spectral and Spatial Information from IKONOS_2 Imagery in Retrieving Leaf Area Index of Forests in the Urban Area of Nanjing, China. Journal of Applied Remote Sensing, 2012, 6, in press (SCI).
  • Weiliang Fan, Weimin Ju, Zhujun Gu. A Method for Reconstructing the Pixel Missing Region on Remote Sensing Image, Journal of Applied Remote Sensing, 2013, under review.
  • Weiliang Fan, Jing M. Chen, Weimin Ju. GOST: A Geometric-Optical Model for Sloping Terrains. IEEE Transactions on Geoscience and Remote Sensing, 2013, under review.
  • H. Q. Du, W. L. Fan, G. M. Zhou et al. Retrieval of the Canopy Closure and Leaf Area Index of Moso Bamboo Forest Using Spectral Mixture Analysis based on the Real Scenario Simulation. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(9)
  • Weiliang Fan, Jing M. Chen, Weimin Ju. A Pixel Missing Patch Inpainting Method for Remote Sensing Image, The 19th International Conference on GeoInformatics, 24-26 June 2011
  • Xiaojun Xu, Huaqiang Du, Guomo Zhou, Hongli Ge, Yongjun Shi, Yufeng Zhou, Weiliang Fan, Wenyi Fan. Estimation of Aboveground Carbon Stock of Moso Bamboo (Phyllostachys heterocycla var. pubescens) Forest with a Landsat Thematic Mapper Image. International Journal of Remote Sensing, 2011, 32(5): 1431-1448(SCI)
  • Huaqiang Du, Guomo Zhou, Hongli Ge, Wenyi Fan, Xiaojun Xu, Weiliang Fan, Yongjun Shi. Satellite-based carbon stock estimation for bamboo forest with a non-linear partial least square regression technique. International Journal of Remote Sensing, 2011, 33(6): 1917-1933(SCI)
  • Xiaojun Xu, Huaqiang Du, Guomo Zhou, Dejin Dong, Weiliang Fan, Ruirui Cui. Spectral Mixture Analysis Based on Erf-BP Model and Applied in Extracting Forest Information. Scientia Silvae Sinicae, 2011, 47(2):30-38. (in Chinese)
  • Huaqiang Du, Guomo Zhou, Wenyi Fan, Hongli Ge, Xiaojun Xu, Yongjun Shi, Weiliang Fan. Spatial Heterogeneity and Carbon Contribution of Aboveground Biomass of Moso Bamboo by Using Geostatistical Theory. Plant Ecology, 2010,207:131-139(SCI)
  • Huaqiang Du, Ruirui Cui, Guomo Zhou, Yongjun Shi, Xiaojun Xu, Weiliang Fan, Yulong L¨¹. The responses of Moso Bamboo (Phyllostachys heterocycla var. pubescens) forest aboveground biomass to Landsat TM spectral reflectance and NDVI. Acta Ecologica Sinica,2010,30(5):257-263
  • Weiliang Fan, Huaqiang Du, Guomo Zhou, Xiaojun Xu, Ruirui Cui, Dejin Dong. Effects of atmospheric calibration on remote sensing estimation of Moso bamboo forest biomass. Chinese Journal of Applied Ecology, 2010£¬21(1): 1-8. (in Chinese)
  • Weiliang Fan, Huaqiang Du, Guomo Zhou, Xiaojun Xu, Ruirui Cui, Dejin Dong. Spectral mixture analysis method based on the simulation of real scenario. Journal of Remote Sensing, 2010, 14(6):1241-1258. (in Chinese)


© Revised: Mar., 2013