Real-time cloud sensing for efficiency improvement of optical high-resolution satellite remote sensing

被引：0
|
作者：
Algra, T [1 ]
机构：
[1] Natl Aerosp Lab, Amsterdam, Netherlands
来源：
IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES | 2003年
关键词：
remote sensing; cloud cover; data acquisidon; cloud avoidance scheduling;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Cloud sensing provides the ability to point the optical axis of the satellite remote sensing instrument to cloud-free areas on the basis of previously acquired cloud cover information. In this way the effective imaging capacity of the mission can be improved. The cloud cover information may be acquired in real-time for optimal performance. This paper explores a number of real-time cloud sensing concepts. The performance of the different options is assessed by analysis and simulation. It is concluded that the imaging capacity of a high-resolution optical remote sensing satellite can be improved-by up to 100%.
引用
收藏
页码：4311 / 4313
页数：3
相关论文
共 50 条
  • [1] Real-Time Coding Scheme for High-Resolution Remote Sensing Images
    Deng Chenwei
    Zhao Baojun
    [J]. CHINESE JOURNAL OF ELECTRONICS, 2009, 18 (03) : 444 - 448
  • [2] Military reconnaissance application of high-resolution optical satellite remote sensing
    Wang Zheng-gang
    Kang Qing
    Xun Yi-jia
    Shen Zhi-qiang
    Cui Chang-bin
    [J]. INTERNATIONAL SYMPOSIUM ON OPTOELECTRONIC TECHNOLOGY AND APPLICATION 2014: OPTICAL REMOTE SENSING TECHNOLOGY AND APPLICATIONS, 2014, 9299
  • [3] Aircraft Recognition in High-Resolution Optical Satellite Remote Sensing Images
    Wu, Qichang
    Sun, Hao
    Sun, Xian
    Zhang, Daobing
    Fu, Kun
    Wang, Hongqi
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (01) : 112 - 116
  • [4] Task-Driven Onboard Real-Time Panchromatic Multispectral Fusion Processing Approach for High-Resolution Optical Remote Sensing Satellite
    Zhang, Zhiqi
    Wei, Lu
    Xiang, Shao
    Xie, Guangqi
    Liu, Chuang
    Xu, Mingyuan
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 16 : 7636 - 7661
  • [5] Intelligent remote sensing satellite and remote sensing image real-time service
    Wang, Mi
    Yang, Fang
    [J]. Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2019, 48 (12): : 1586 - 1594
  • [6] REAL-TIME, HIGH-RESOLUTION OPTICAL BEAM POSITION-SENSING DEVICE
    TODA, K
    YOSHIDA, S
    [J]. REVIEW OF SCIENTIFIC INSTRUMENTS, 1991, 62 (01): : 217 - 222
  • [7] Real-Time Moving Object Detection in High-Resolution Video Sensing
    Zhu, Haidi
    Wei, Haoran
    Li, Baoqing
    Yuan, Xiaobing
    Kehtarnavaz, Nasser
    [J]. SENSORS, 2020, 20 (12) : 1 - 15
  • [8] HELIPORT DETECTION IN HIGH-RESOLUTION OPTICAL REMOTE SENSING IMAGES
    Baseski, Emre
    [J]. 2018 9TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2018,
  • [9] Smear Effect on High-Resolution Remote Sensing Satellite Image Quality
    Wahballah, Walid A.
    Bazan, Taher M.
    Ibrahim, Mohamed
    [J]. 2018 IEEE AEROSPACE CONFERENCE, 2018,
  • [10] Bridge monitoring and assessment by high-resolution satellite remote sensing technologies
    Gagliardi, Valerio
    Ciampoli, Luca Bianchini
    D'Amico, Fabrizio
    Alani, Amir M.
    Tosti, Fabio
    Battagliere, Maria Libera
    Benedetto, Andrea
    [J]. SPIE FUTURE SENSING TECHNOLOGIES (2020), 2020, 11525
12345