Study the problem of performance evaluation of Earth observation satellite mission planning

2014 ◽  
Author(s):  
Hongfei Wang ◽  
LiLi Guo ◽  
Qi Xie ◽  
Bing Zhou ◽  
Yi Qu
Keyword(s):  
Performance Evaluation ◽  
Earth Observation ◽  
Mission Planning ◽  
Satellite Mission ◽  
Earth Observation Satellite

A Review on Machine Learning for Earth Observation Satellite Mission Planning

2021 ◽  
Vol 14 ◽  
Author(s):  
Zhiliang Li ◽  
Mingyong Jiang ◽  
Da Ran ◽  
Fengjie Zheng
Keyword(s):  
Machine Learning ◽  
Solution Process ◽  
Field Research ◽  
Earth Observation ◽  
Mission Planning ◽  
Planning Problem ◽  
Satellite Mission ◽  
The Earth ◽  
Integral Process ◽  
Earth Observation Satellite

: Mission planning is an integral process that enables earth observation missions and defines their success rate. This paper identifies key problems and opportunities on machine learning for earth observation satellite mission planning. Firstly, the description elements, classification methods, solution process and solution difficulties of the mission planning problem of earth observation satellite are described. Secondly, the current research status of machine learning for the earth observation satellite mission planning is summarized and analyzed. Finally, the problems of current research are analyzed, and the prospect of new field research is given in light of the development needs.

Heuristic-Based Mission Planning for an Agile Earth Observation Satellite

2019 ◽  
Vol 20 (3) ◽  
pp. 781-791 ◽  
Author(s):  
Sung-Hoon Mok ◽  
Sujang Jo ◽  
Hyochoong Bang ◽  
Henzeh Leeghim
Keyword(s):  
Earth Observation ◽  
Mission Planning ◽  
Earth Observation Satellite

Autonomous Mission Replanning Method for Imaging Satellites Considering Real-Time Weather Conditions

2016 ◽  
Vol 13 (10) ◽  
pp. 6967-6973 ◽  
Author(s):  
Yongming He ◽  
Lei He ◽  
Yuan Wang ◽  
Yu Xiao ◽  
Yingwu Chen ◽  
...  
Keyword(s):  
Real Time ◽  
Input Data ◽  
Meteorological Factors ◽  
Weather Conditions ◽  
Earth Observation ◽  
Mission Planning ◽  
Satellite Mission ◽  
Actual Observation ◽  
Weather Changes ◽  
Observation Results

During the observations made by imaging satellites, meteorological factors are likely to change frequently. The vagaries of weather conditions and significant effects on the actual observation results mean that there is an urgent need to apply more intelligence to satellite mission planning. Thus, this paper describes an autonomous replanning method for imaging satellites that considers the real-time weather conditions. Considering the characteristics of different input data, this method replans the low-yield task set and fine-tunes others to improve profitability. Moreover, the proposed method can heuristically select the appropriate adjustment rule to achieve autonomous satellite mission planning. A series of simulations with various task quantities and in different environments shows that the proposed method can respond effectively to real-time weather changes, and can steadily improve the total profits in a variety of weather conditions during Earth observation activities.

scholarly journals ANALISA SENSITIVITAS PADA DESAIN AWAL SATELIT MIKRO PENGAMAT BUMI (SENSITIVITY ANALYSIS ON PRELIMINARY DESIGN OF EARTH OBSERVATION MICRO-SATELLITE)

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Robertus Heru Triharjanto ◽  
Ridanto Eko P ◽  
Hari Muhammad
Keyword(s):  
Sensitivity Analysis ◽  
Power Consumption ◽  
Electrical Power ◽  
Earth Observation ◽  
Design Parameters ◽  
Preliminary Design ◽  
Satellite Mission ◽  
Earth Observation Satellite ◽  
The One ◽  
Multispectral Imager

The paper discuss about the sensitivity analysis on the preliminary design of Earth observation micro-satellite. The objective of the analysis is to evaluate which design parameters affect the satellite performances the most. The satellite type used in this research is the one which weight no more than 100 kg and which dimension can be fitted into auxilary payload alocation in the launch vehicle. The satellite mission chosen in this research is limited to optical-based multispectral imager, and the design phase is at preliminary design, in which some of the constraints are based on empirical data. The result obtained show that image resolusion affect the most on the rate of data to be processed, especially at high resolution, so that it affect the satellite power consumption. Resolution, which is a function of lens dimensions, also effect the satellite’s weight that have to acommodate it. On the other hand, such accomodation affect the satellite’s ability to supply electrical power. Number of spectrum, also affect satellite’s weight and power consumption, but at more moderate level. Keywords: Microsatellite design, Earth observation satellite, Sensitivity analysis

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