Atmospheric Correction of Hyperion Hyperspectral Image Based on FLAASH
YUAN Jin-guo1, 2, NIU Zheng2, WANG Xi-ping1*
1. Hebei Key Laboratory of Environmental Change and Ecological Construction, College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang 050016, China 2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications,Chinese Academy of Sciences, Beijing 100101, China
Abstract:Atmospheric correction of remote sensing image is the premise of quantitative remote sensing. The present paper evaluated the capability of FLAASH (fast line-of-sight atmospheric analysis of spectral hypercubes)in ENVI software to make atmospheric correction for EO-1 Hyperion hyperspectral image. Hyperion hyperspecreal image of Zhangye city in Heihe River valley of Gansu province, China was acquired on September 10, 2007. Canopy spectra, biochemical component and GPS data of 41 plots were measured in near real-time during the satellite overpass. Hyperion hyperspectral image was geometrically corrected using Lansat-7 ETM+ image, then DN values were transformed to radiance and apparent reflectance, and atmospheric correction of Hyperion image was made using FLAASH. The resulting radiance, apparent reflectance and reflectance after FLAASH of four typical objects, including corn, water body, desert and building, were compared. ASD spectra of corn were resampled to Hyperion corresponding bands using Gaussian filter function. The comparison between ASD resampled spectra and Hyperion spectra after FLAASH demonstrated that the atmospheric correction using FLAASH is very effective and these two spectra are consistent with each other and the correlation coefficient reached 0.987.
[1] PU Rui-liang, GONG Peng(浦瑞良,宫 鹏). Hyperspectral Remote Sensing and Applications(高光谱遥感及其应用). Beijing:Higher Education Press(北京:高等教育出版社),2000. [2] JI Hai-yan, WANG Peng-xin, YAN Tai-lai(吉海彦,王鹏新,严泰来). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(3):514. [3] JIANG Jin-bao, CHEN Yun-hao, HUANG Wen-jiang(蒋金豹,陈云浩,黄文江). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(7):1363. [4] Vetmote E F, Tanre D, Deuze J L, et, al. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35:675. [5] ZHENG Wei,ZENG Zhi-yuan(郑 伟,曾志远). Remote Sensing Information(遥感信息),2004,(4):66. [6] http://www.ittvis.com/envi/flaash.asp. [7] LIANG Shun-lin. Quantitative Remote Sensing of Land Surface. Hoboken, New Jersey, USA: John Wiley & Sons, Inc., 2004. 196. [8] SONG Xiao-yu, WANG Ji-hua, LIU Liang-yun, et al(宋晓宇,王纪华,刘良云,等). Remote Sensing Technology and Applications(遥感技术与应用),2005,20(4):393. [9] Lü Feng-jun, HAO Yue-sheng, LI Chuan-ping, et al(吕凤军,郝跃生,李川平,等). Hebei Geology(河北地质), 2007,(2):23. [10] YUAN Jin-guo, NIU Zheng(袁金国,牛 铮). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报),2007,23(4):172. [11] SHEN Yan, NIU Zheng, CHEN Fang, et al(沈 艳,牛 铮,陈 方,等). Geography and Geo-Information Science(地理与地理信息科学),2007,23(1):27. [12] NIE Ai-xiu,ZHANG Li-ting,CHEN Zhu-an(聂爱秀,张立亭,陈竹安). Journal of East China Institute and Technology(东华理工学院学报),2007,30(2):157. [13] LI Qing-li, XUE Yong-qi, WANG Jian-yu, et al(李庆利,薛永祺,王建宇,等). Journal of Infrared and Millimeter Waves(红外与毫米波学报),2006, 25(4): 316. [14] LONG Fei, ZHAO Ying-shi(龙 飞,赵英时). Journal of Remote Sensing(遥感学报),2002, 6(3):173. [15] http://glcfapp.umiacs.umd.edu:8080/esdi/index.jsp. [16] http://eo1.usgs.gov/faq.php