A Feasible Atmospheric Correction Method to TM Image

被引:1
|
作者
ZHENG, Wei [1 ,2 ]
LIU, Chuang [1 ]
ZENG, Zhi-yuan [3 ]
LONG, En [1 ,2 ]
机构
[1] Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
[2] Graduate University, Chinese Academy of Sciences, Beijing, 100039, China
[3] College of Geographical Science, Nanjing Normal University, Nanjing, Jiangsu 210097, China
关键词
Atmospheric spectra - Interpolation - Parameterization - Reflection - Satellite imagery;
D O I
10.1016/S1006-1266(07)60024-8
中图分类号
学科分类号
摘要
In this paper, an atmospheric correction method to TM image is presented, which can simulate the atmospheric correction parameters, such as optical depth, sky radiance and path radiance at the time the satellite passes, by using interpolation among local meteorological records, parameterization models and dark pixels. The TM image of the Nanjing area in China was corrected by this method. For analyzing the accuracy of this method, the calculated reflectance, apparent reflectance and ground measured reflectance were compared. NDVI before and after atmospheric correction were also compared. The results show that the method is applicable and efficient in the visible to near infrared band of TM image. In order to improve the accuracy of the method, the infrared spectrum measured data for the two other bands of TM image are required in future field investigations. The method is suitable to many other satellite optical remote sensing images with the same or similar spectral characteristics of TM images. © 2007 The Journal of China University of Mining & Technology.
引用
收藏
页码:112 / 115
相关论文
共 50 条
  • [31] Atmospheric Correction Method Based on Spectral Matching
    Hu X.
    Gao H.
    Cheng T.
    Guangxue Xuebao/Acta Optica Sinica, 2019, 39 (08):
  • [32] An Atmospheric Correction Method Based on Lidar Data
    Zhu, Zhongmin
    Gong, Wei
    Qin, Qianqing
    Li, Pingxiang
    Ma, Yingying
    Liu, Mengyu
    Hao, Zhongyu
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 2798 - +
  • [33] Atmospheric Correction Method Based on Spectral Matching
    Hu Xinkai
    Gao Hailiang
    Cheng Tianhai
    ACTA OPTICA SINICA, 2019, 39 (08)
  • [34] A method of automatic cloud detection using TM image
    Qin, Yong
    Fu, Zhongliang
    Zhou, Fan
    Chen, Yixiang
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2014, 39 (02): : 234 - 238
  • [35] Extract method of urban Greenbelt based on TM image
    Xi, Chen
    Yong, Wang
    PROGRESS IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-4, 2013, 610-613 : 3562 - +
  • [36] A hybrid method for underwater image correction
    Li, Chongyi
    Guo, Jichang
    Guo, Chunle
    Cong, Runmin
    Gong, Jiachang
    PATTERN RECOGNITION LETTERS, 2017, 94 : 62 - 67
  • [37] High-speed atmospheric correction for spectral image processing
    Perkins, Timothy
    Adler-Golden, Steven
    Cappelaere, Patrice
    Mandl, Daniel
    ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XVIII, 2012, 8390
  • [38] Study of SPOT image-based atmospheric correction methods
    Tian, QJ
    Zheng, LF
    Tong, QX
    HYPERSPECTRAL REMOTE SENSING AND APPLICATIONS, 1998, 3502 : 49 - 56
  • [39] ATMOSPHERIC CORRECTION OF REMOTELY SENSED IMAGE DATA BY A SIMPLIFIED MODEL
    WRIGLEY, RC
    SPANNER, MA
    SLYE, RE
    PUESCHEL, RF
    AGGARWAL, HR
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1992, 97 (D17) : 18797 - 18814
  • [40] Synthetic imaging: Nonadaptive anisoplanatic image correction in atmospheric turbulence
    Carhart, GW
    Vorontsov, MA
    OPTICS LETTERS, 1998, 23 (10) : 745 - 747