Abstract：Polarization detection provides us with novel information to reflect the target attribute. Compared with traditional remote sensing methods, multi-angle polarization has relatively stable correlation and regularity. RSP（research scanning polarimeter）is an airborne prototype for the APS(aerosol polarimetery sensor) developed by the USA, which can provide with us the polarization detection information of 9 channels. We can get optical properties and physical characteristics of vegetation by analyzing stable multi-angle and multi-band polarization detection information from preprocessing scanning polarization data of flight test. In this paper, after making registration based on flight attitude information, a comparative analysis is made between characteristics of reflectance and polarization reflectance with visible light and near infrared band of the view zenith angles between -30 degree and 65 degree , based on dense area and sparse area(close to bare field) of vegetation. The results show that both dense area and sparse area demonstrate regular characteristics of polarization degree. The area close to hot spot area has highest reflectance energy. In contrast, it has relatively least energy of polarization degree, which can prevent strong reflectance energy from influencing the stability of detector. Because the degree of polarization in dense area of vegetation is higher than that in sparse area at visible light band while that in concentration area of vegetation is lower than sparse area at near infrared light band, it shows that the visible light band information of dense area of vegetation that the sensor received is dominated by single scattering while the near infrared light band information of dense area of vegetation is dominated by multiple scattering.
Key words：Polarization detection;Degree of polarization;Vegetation;Single scattering;Multiple scattering
[1] Li X W, Strahler A H. IEEE Trans. Geosc. Remote Sensing, 1985, 23(5): 705. [2] Lucht W, Schaaf C B, Strahler A H. IEEE Trans. Geosc. Remote Sensing, 2000, 38(2): 977. [3] Waquet F, Cornet C, Deuzé J L, et al. Atmospheric Measurement Techniques, 2013, 6(4): 991. [4] CAO Han-jun, QIAO Yan-li(曹汉军, 乔延利). Chinese Journal of Quantum Electronics(量子电子学报)，2002, 19(4): 373. [5] Jian X, Zhang C, Zhao B. Optik-International Journal for Light and Electron Optics, 2011, 122(8): 677. [6] WU Tai-xia, ZHANG Li-fu, CEN Yi，et al(吴太夏, 张立福, 岑 奕，等). Journal of Remote Sensing(遥感学报). 2013, 17(2): 241. [7] Hautecoeur O, Leroy M. International Journal of Remote Sensing，2000, 21(15): 2957. [8] Waquet F, Cornet C，Deuze J L, et al. Atmospheric Measurement Techniques，2013, 6: 991. [9] Alexandrov Mikhail D, Cairns Brian，Emde Claudia, et al. Remote Sensing of Environment，2012, 125: 92. [10] Xie D H, Gu X F, Cheng T H, et al. Science China Earth Sciences, 2011, 54(8): 1199. [11] ZHAO Yun-sheng, SUN Zhong-qiu，LI Shao-ping, et al(赵云升, 孙仲秋，李少平，等). Journal of Atmospheric and Environmental Optics(大气与环境光学学报)，2010, 5(3): 190. [12] HAN Yang(韩 阳). Journal of Infrared and Millimeter Waves(红外与毫米波学报)，2010, 29 (4): 316. [13] Wu T, Zhang L, Cen Y, et al. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 2013, 6(2): 724. [14] Schutgens N A J，Tilstra L G，Stammes P. Journal of Geophysical Research: Atmospheres，2004, 109(D9): 1984.
