Image restoration of the asymmetric point spread function of a high-resolution remote sensing satellite with time-delayed integration

被引:12
|
作者
Lee, Dong-Han [1 ,2 ]
Yang, Ji Yeon [1 ]
Seo, Doo Chun [1 ]
Song, Jeong Heon [1 ]
Chung, Jae Heon [1 ]
Lim, Hyo Suk [1 ]
机构
[1] Korea Aerosp Res Inst, Taejon 305333, South Korea
[2] Yonsei Univ, Dept Astron, Seoul 120749, South Korea
关键词
Calibration; Validation; Image restoration; PSF; MTFC; KOMPSAT-2; SYSTEMS;
D O I
10.1016/j.asr.2010.10.006
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The calibration and validation team of the Korea Aerospace Research Institute has calibrated and validated the image data of the KOMPSAT-2 since the launch of KOMPSAT-2 on July 28, 2006. The asymmetric phenomenon of the point spread function of the KOMPSAT-2 image data is evident in both the along and the across direction, most likely because KOMPSAT-2 has a 1 m ground sample distance high-resolution camera with time-delayed integration. Furthermore, because KOMPSAT-2 is in space, the KOMPSAT-2 image data has been corrected with good results by means of modulation transfer function compensation. (C) 2010 COSPAR. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:690 / 701
页数:12
相关论文
共 50 条
  • [1] Remote Sensing Image Restoration Method Based on Lorentz Fitting Point Spread Function
    Huang Guoxing
    Liu Yipeng
    Peng Hong
    Lu Weidang
    Wang Jingwen
    ACTA OPTICA SINICA, 2021, 41 (16)
  • [2] Smear Effect on High-Resolution Remote Sensing Satellite Image Quality
    Wahballah, Walid A.
    Bazan, Taher M.
    Ibrahim, Mohamed
    2018 IEEE AEROSPACE CONFERENCE, 2018,
  • [3] Hybrid High-Resolution Learning for Single Remote Sensing Satellite Image Dehazing
    Chen, Xiang
    Li, Yufeng
    Dai, Longgang
    Kong, Caihua
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [4] Satellite image restoration in the context of a spatially varying point spread function
    Hajlaoui, Nasreddine
    Chaux, Caroline
    Perrin, Guillaume
    Falzon, Frederic
    Benazza-Benyahia, Amel
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2010, 27 (06) : 1473 - 1481
  • [5] Assessing and deconvolving the impacts of the point spread function on satellite remote sensing
    Huang, CQ
    Kalluri, SNV
    Townshend, JRG
    Yang, K
    IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 2035 - 2037
  • [6] A High-Resolution Remote Sensing Image Registration Method Combining Object and Point Features
    Lu, Junyan
    Hu, Qinglei
    Zhu, Ruifei
    Jia, Hongguang
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2022, 58 (05) : 4196 - 4213
  • [7] High-resolution remote sensing Image Restoration Based on Double-Knife-Edge Method
    Zhang, Shaohui
    Wang, Lin
    Shi, Xueyan
    Wang, Xu
    Shao, Xiaopeng
    SATELLITE DATA COMPRESSION, COMMUNICATIONS, AND PROCESSING X, 2014, 9124
  • [8] Real-time cloud sensing for efficiency improvement of optical high-resolution satellite remote sensing
    Algra, T
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 4311 - 4313
  • [9] Recognition and extraction of high-resolution satellite remote sensing image buildings based on deep learning
    Yifu Zeng
    Yi Guo
    Jiayi Li
    Neural Computing and Applications, 2022, 34 : 2691 - 2706
  • [10] Recognition and extraction of high-resolution satellite remote sensing image buildings based on deep learning
    Zeng, Yifu
    Guo, Yi
    Li, Jiayi
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (04): : 2691 - 2706