Radiometric Calibration for MWIR Cameras

被引:0
|
作者
Yang, Hyunjin [1 ]
Chun, Joohwan [1 ]
Seo, Doo Chun [2 ]
Yang, Jiyeon [2 ]
机构
[1] Korea Adv Inst Sci & Technol, 335 Gwahangno, Taejon 305701, South Korea
[2] Korea Aerosp Res Inst, Daejeon, South Korea
关键词
Infrared; Atmospheric compensation; Image restoration; Satellite image;
D O I
10.1117/12.920553
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Korean Multi-purpose Satellite-3A (KOMPSAT-3A), which weighing about 1,000 kg is scheduled to be launched in 2013 and will be located at a sun-synchronous orbit (SSO) of 530 km in altitude. This is Korea's first satellite to orbit with a mid-wave infrared (MWIR) image sensor, which is currently being developed at Korea Aerospace Research Institute (KARI). The missions envisioned include forest fire surveillance, measurement of the ocean surface temperature, national defense and crop harvest estimate. In this paper, we shall explain the MWIR scene generation software and atmospheric compensation techniques for the infrared (IR) camera that we are currently developing. The MWIR scene generation software we have developed taking into account sky thermal emission, path emission, target emission, sky solar scattering and ground reection based on MODTRAN data. Here, this software will be used for generating the radiation image in the satellite camera which requires an atmospheric compensation algorithm and the validation of the accuracy of the temperature which is obtained in our result. Image visibility restoration algorithm is a method for removing the effect of atmosphere between the camera and an object. This algorithm works between the satellite and the Earth, to predict object temperature noised with the Earth's atmosphere and solar radiation. Commonly, to compensate for the atmospheric effect, some softwares like MODTRAN is used for modeling the atmosphere. Our algorithm doesn't require an additional software to obtain the surface temperature. However, it needs to adjust visibility restoration parameters and the precision of the result still should be studied.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Radiometric calibration of MERIS
    Delwart, S
    Bourg, L
    SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES VIII, 2004, 5570 : 372 - 380
  • [22] Radiometric calibration of MERIS
    Delwart, S.
    Bourg, L.
    SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XV, 2011, 8176
  • [23] Simplifying method of radiance calibration for MWIR detector
    Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun
    130033, China
    不详
    100049, China
    Hongwai yu Jiguang Gongcheng Infrared Laser Eng., 7 (2132-2137):
  • [24] ON THE CALIBRATION OF UNDERWATER CAMERAS
    FRYER, JG
    FRASER, CS
    PHOTOGRAMMETRIC RECORD, 1986, 12 (67): : 73 - 85
  • [25] CALIBRATION OF PHOTOGRAMMETRIC CAMERAS
    PATTERSON, JB
    PHOTOGRAMMETRIA, 1978, 34 (02): : 69 - 78
  • [26] A calibration method for radiometric and wavelength calibration of a spectrometer
    Granger, EM
    COLOR IMAGING: DEVICE-INDEPENDENT COLOR, COLOR HARDCOPY, AND GRAPHIC ARTS IV, 1998, 3648 : 237 - 241
  • [27] A comparison of reflected and emitted radiometric signal levels in SWIR, eSWIR, MWIR, and superband (SWIR through MWIR) optical systems
    Somerville, Luke D.
    Leslie, Patrick
    Jordan, Shane
    Renshaw, C. Kyle
    Driggers, Ronald G.
    INFRARED IMAGING SYSTEMS: DESIGN, ANALYSIS, MODELING, AND TESTING XXXV, 2024, 13045
  • [28] The MISR radiometric calibration process
    Bruegge, Carol J.
    Diner, David J.
    Kahn, Ralph A.
    Chrien, Nadine
    Helmlinger, Mark C.
    Gaitley, Barbara J.
    Abdou, Wedad A.
    REMOTE SENSING OF ENVIRONMENT, 2007, 107 (1-2) : 2 - 11
  • [29] PALSAR Radiometric and Geometric Calibration
    Shimada, Masanobu
    Isoguchi, Osamu
    Tadono, Takeo
    Isono, Kazuo
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (12): : 3915 - 3932
  • [30] Radiometric calibration of an optical spectrometer
    Gu, Y
    PHYSICAL PROCESSES IN THE COASTAL ZONE: COMPUTER MODELLING AND REMOTE SENSING, 1998, 49 : 249 - 266