The scheduling of earth observation satellites(EOSs)data transmission is a complex combinatorial optimization problem. Current researches mainly deal with this problem on the assumption that the data transmission mode...The scheduling of earth observation satellites(EOSs)data transmission is a complex combinatorial optimization problem. Current researches mainly deal with this problem on the assumption that the data transmission mode is fixed, either playback or real-time transmission. Considering the characteristic of the problem, a multi-satellite real-time and playback data transmission scheduling model is established and a novel algorithm based on quantum discrete particle swarm optimization(QDPSO)is proposed. Furthermore, we design the longest compatible transmission chain mutation operator to enhance the performance of the algorithm. Finally, some experiments are implemented to validate correctness and practicability of the proposed algorithm.展开更多
The cross-correlation function was used in conjunction with the daily values of the aerosol index (AI) from the Total Ozone Mapping Spectrometer (TOMS) to establish and qualify a source-receptor relationship between d...The cross-correlation function was used in conjunction with the daily values of the aerosol index (AI) from the Total Ozone Mapping Spectrometer (TOMS) to establish and qualify a source-receptor relationship between dust over the Gobi desert and the West Coast of the United States.An objective method that can be used to determine the trajectory of dust transport and the transportation time at different locations along the trajectory across the Pacific are presented in this report.The spring season was analyzed (March to May),and the results showed that dust reaches the western United States in approximately five to six days.Although dust transport from the Gobi desert was demonstrated in the present study,the proposed cross-correlation technique can be applied to other regions and can be used to obtain useful insights on relationships between major dust sources and downwind receptor locations utilizing remotely sensed dust estimates.展开更多
基金supported by the National Natural Science Foundation of China(6110118461174159)
文摘The scheduling of earth observation satellites(EOSs)data transmission is a complex combinatorial optimization problem. Current researches mainly deal with this problem on the assumption that the data transmission mode is fixed, either playback or real-time transmission. Considering the characteristic of the problem, a multi-satellite real-time and playback data transmission scheduling model is established and a novel algorithm based on quantum discrete particle swarm optimization(QDPSO)is proposed. Furthermore, we design the longest compatible transmission chain mutation operator to enhance the performance of the algorithm. Finally, some experiments are implemented to validate correctness and practicability of the proposed algorithm.
基金funded by the Human Resource Department of Sichuan Province for returnees from abroad
文摘The cross-correlation function was used in conjunction with the daily values of the aerosol index (AI) from the Total Ozone Mapping Spectrometer (TOMS) to establish and qualify a source-receptor relationship between dust over the Gobi desert and the West Coast of the United States.An objective method that can be used to determine the trajectory of dust transport and the transportation time at different locations along the trajectory across the Pacific are presented in this report.The spring season was analyzed (March to May),and the results showed that dust reaches the western United States in approximately five to six days.Although dust transport from the Gobi desert was demonstrated in the present study,the proposed cross-correlation technique can be applied to other regions and can be used to obtain useful insights on relationships between major dust sources and downwind receptor locations utilizing remotely sensed dust estimates.
