scholarly journals Postoptimality Pareto-Robustness Analysis of an Earth-Observation Satellite Mission

2013 ◽  
Vol 50 (4) ◽  
pp. 884-895 ◽  
Author(s):  
G. Ridolfi ◽  
E. Mooij ◽  
S. Corpino
Keyword(s):  
Robustness Analysis ◽  
Earth Observation ◽  
Satellite Mission ◽  
Earth Observation Satellite

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

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.

Sign in / Sign up

Export Citation Format

Share Document