An Improved Physical Model to Correct Topographic Effects in Remotely Sensed Imagery
ZHANG Zhao-ming1, 2, 3, HE Guo-jin1, LIU Ding-sheng1, WANG Xiao-qin4, JIANG Hong4
1. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100190, China 2. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China 4. Spatial Information Research Centre, Fuzhou University, Fuzhou 350002, China
Abstract：Topographic correction for remotely sensed imagery is an important preprocessing step in order to improve the retrieval accuracy of land surface spectral reflectance in mountainous area. Various kinds of topographic correction models have been proposed in the literature. Each model has its advantages and limitations. In consideration of the limitations of the topographic correction models in the literature, an improved Shepherd topographic correction model is proposed in this paper. Diffuse irradiance is an essential factor in the physically based topographic correction model. While in the Shepherd model (originally proposed by Shepherd et al. in 2003), accuracy of the method to compute the diffuse irradiance is relatively low; therefore, the accuracy of the land surface spectral reflectance retrieved with the Shepherd model is impacted. In order to improve the accuracy of diffuse irradiance, hence the accuracy of land surface spectral reflectance, a different method (named the Perez model), is used to obtain the diffuse irradiance with higher accuracy in the improved Shepherd model. Landsat 5 Thematic Mapper (TM) imagery acquired on July 12th 2006, over the mountainous areas in the north of Beijing city, was employed to retrieve land surface spectral reflectance with the improved Shepherd topographic correction model and 6S (Second Simulation of the Satellite Signal in the Solar Spectrum) atmospheric radiative transfer model. Correction results were tested with three different methods. Testing result shows that the improved Shepherd topographic correction model can achieve a good correction result and is better than Shepherd and C topographic correction model. What is more, this improved model is physically based and can be applied to all kinds of optical satellite imagery.
Key words：Remotely sensed imagery;Spectral reflectance;Mountainous area;Topographically radiometric correction;Physically based model
张兆明1, 2, 3，何国金1，刘定生1，汪小钦4，江 洪4. 一种改进的遥感影像地形校正物理模型[J]. 光谱学与光谱分析, 2010, 30(07): 1839-1842.
ZHANG Zhao-ming1, 2, 3, HE Guo-jin1, LIU Ding-sheng1, WANG Xiao-qin4, JIANG Hong4. An Improved Physical Model to Correct Topographic Effects in Remotely Sensed Imagery. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(07): 1839-1842.
[1] Teillet P M, Guindon B, Goodenough D G. Canadian Journal of Remote Sensing, 1982, 8(2): 84. [2] Smith J A, Lin T L, Ranson K J. Photogrammetric Engineering and Remote Sensing, 1980, 46(9): 1183. [3] Duguay C R, LeDrew E F. Photogrammetric Engineering and Remote Sensing, 1992, 58(5): 551. [4] Holben B N, Justice C O. Photogrammetric Engineering and Remote Sensing, 1980, 46(9): 1191. [5] GAO Yong-nian, ZHANG Wan-chang(高永年, 张万昌). Geographical Research(地理研究), 2008, 27(2): 467. [6] Shepherd J D, Dymond J R. International Journal of Remote Sensing, 2003, 24(17): 3503. [7] Noorian A M, Moradi I, Kamali G A. Renewable Energy, 2008, 33: 1406. [8] Berk A, Bernstein L S, Anderson G P, et al. Remote Sensing of Environment, 1998, 65: 367. [9] Vermote E, Tanré D, Deuzé J L, et al. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35: 675. [10] YUAN Jin-guo, NIU Zheng, WANG Xi-ping(袁金国, 牛 铮, 王锡平). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2009, 29(5): 1181. [11] Sandmeier S, Itten K I. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(3): 708. [12] Perez R, Ineichen P, Seals R, et al. Solar Energy, 1990, 44(5): 271. [13] Dymond J R, Shepherd J D. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(5): 2618. [14] Itten K I, Meyer P. IEEE Transactions on Geoscience and Remote Sensing, 1993, 31(4): 764. [15] Riano D, Chuvieco E, Salas J, et al. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(5): 1056. [16] HUANG Wei, ZHANG Liang-pei, LI Ping-xiang(黄 微, 张良培, 李平湘). Acta Geodaetica et Cartographica Sinica(测绘学报), 2006, 35(3): 285.
