A multi-index assessment method for evaluating coverage effectiveness of remote sensing satellite

被引:34
|
作者
Li, Hongliang [1 ,3 ]
Li, Dong [2 ]
Li, Yunhua [1 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
[2] Beihang Univ, Sch Aeronaut Sci & Engn, Beijing 100083, Peoples R China
[3] Res Inst COMAC, Beijing Aeronaut Sci & Technol, Beijing 102211, Peoples R China
关键词
Analytic hierarchy process; Coverage ability; Effectiveness evaluation; Entropy weight method; Remote sensing satellite; GENETIC ALGORITHM; ENTROPY-WEIGHT; ORBIT;
D O I
10.1016/j.cja.2018.05.015
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper deals with the multi-index assessment method for evaluating coverage effectiveness of remote sensing satellite. Because a series of satellite activities such as imaging, moving target observation, and environment investigation need to know the coverage characteristics, the coverage capability of the remote sensing satellite is the most important index. Thus, it is very important to establish the method of effectiveness evaluation of coverage characteristics. This paper focuses on the assessment of coverage effectiveness of remote sensing satellite, and proposes and designs a multi-index evaluation method based on index weight using entropy weight method and analytic hierarchy process. With a simulation case, the effectiveness evaluation results of single satellite coverage and multi-satellite coverage performance are given for the proposed assessment. The experimental results show that the established coverage characteristic model and the proposed assessment method are effective and right. (C) 2018 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd.
引用
收藏
页码:2023 / 2033
页数:11
相关论文
共 50 条
  • [1] A multi-index assessment method for evaluating coverage effectiveness of remote sensing satellite
    Hongliang LI
    Dong LI
    Yunhua LI
    Chinese Journal of Aeronautics, 2018, 31 (10) : 2023 - 2033
  • [2] A multi-index assessment method for evaluating coverage effectiveness of remote sensing satellite
    LI, Yunhua (yhli@buaa.edu.cn), 2023, Chinese Journal of Aeronautics (31):
  • [3] A multi-index assessment method for evaluating coverage effectiveness of remote sensing satellite
    Hongliang LI
    Dong LI
    Yunhua LI
    Chinese Journal of Aeronautics, 2018, (10) : 2023 - 2033
  • [4] A satellite remote-sensing multi-index approach to discriminate pelagic Sargassum in the waters of the Yucatan Peninsula, Mexico
    Cuevas, Eduardo
    Uribe-Martinez, Abigail
    de los Angeles Liceaga-Correa, Maria
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (11) : 3608 - 3627
  • [5] A New Method for Remote Sensing Satellite Observation Effectiveness Evaluation
    Li, Zhi
    Dong, Yunfeng
    Li, Peiyun
    Li, Hongjue
    Liew, Yingjia
    AEROSPACE, 2022, 9 (06)
  • [6] Hydroclimate dynamics and their impact on vegetation health in the Luni River Basin, Western India: a multi-index assessment using remote sensing
    Pooja Chauhan
    Mamata Ngangom
    M. G. Thakkar
    Modeling Earth Systems and Environment, 2025, 11 (3)
  • [7] Application of Fuzzy Methods in Multi-index Assessment
    Li Yan
    Zhao Guanhua
    Li Xiurong
    Chen Baolin
    INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SUPPORTED EDUCATION, 2012, 2 : 516 - 521
  • [8] Multi-index evaluation based on DEA method
    School of Management, Univ. of Science and Technology of China, Hefei 230026, China
    不详
    Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron, 2006, 10 (1541-1543):
  • [9] Evaluating the significance of odor gas released during the directly drying process of sludge: Based on the multi-index integrated assessment method
    Ding W.-J.
    Chen W.-H.
    Deng M.-J.
    Luo H.
    Li L.
    Liu J.-X.
    Li, Lin (leel@rcees.ac.cn), 1600, Science Press (37): : 782 - 788
  • [10] An operational monitoring method for full coverage pollution enterprises based on satellite remote sensing
    Wang, Qiao
    Li, Qing
    Wang, Zhongting
    Chen, Hui
    Ma, Pengfei
    Ping, Fan
    Liu, Cheng
    ATMOSPHERIC POLLUTION RESEARCH, 2021, 12 (04) : 141 - 151