Mission planning optimization of video satellite for ground multi-object staring imaging

Cui, Kaikai; Xiang, Junhua; Zhang, Yulin

doi:10.1016/j.asr.2017.10.056

Cited by 47 publications

(27 citation statements)

References 6 publications

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“…Furthermore, considering that the transition time between two AEOS observation events was usually defined as a constant value, Liu et al [14] adopted a timedependent function for AEOS's attitude maneuver and the real-time observation quantity so as to describe the dynamic characteristics of the first Chinese AEOS AS-1. To further improve the accuracy of estimation on the AEOS maneuver, Cui et al [15] proposed two fitting equations to precisely denote the rolling and pitching maneuver time of a Chinese AEOS Tiantuo-2, but the energy and memory resources were neglected in his study.…”

Section: Related Workmentioning

confidence: 99%

“…Thereout, to address the complicated constraints including satellite resources [16][17][18], time windows [19][20][21], along with the time-dependent observation quality and transition time [3,14,15], the scheduling for AEOS observation events has been investigated by worldwide researchers. Nonetheless, the earth images observed by the satellite also need to be transmitted to ground satellite monitoring departments so that the missions of the satellite could be fulfilled.…”

Section: Related Workmentioning

confidence: 99%

“…In Constraint (15), "z a is adjacent to z b " represents that z a and z b are two adjacent decision variables that equal 1, and there is no any decision variable z others = 1 that is located between z a and z b in the time line. Therefore, for each AEOS, all the observation events between the time interval split by z a and z b will share the same satellite memory volume M j .…”

Section: • Hem Environmentmentioning

confidence: 99%

See 2 more Smart Citations

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

Xing

Chen

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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This paper presents an experimental study on an integrated agile earth observation satellite (AEOS) scheduling problem involving the satellite memory environments of the partially erasable memory (PEM) and the holistically erasable memory (HEM). The integrated AEOS scheduling problem simultaneously considers the satellite observation and transmission events, in which the onboard memory functions as a very important connective resource. To address the memory constraints in the AEOS scheduling problem, an integrated AEOS scheduling model that is suitable for both the PEM and HEM environments is proposed in this paper. Based on commonly used construction heuristic and meta-heuristics, two hybrid approaches, Tabusimulated annealing (TSA) and Tabu late acceptance (TLA) algorithms, are adopted to solve this problem. The highlights in this paper are the formulation of novel adaptive memory constraints for the AEOS scheduling and the quantitatively scheduling comparison of separated and integrated modeling methods. Experimental results indicate that (1) the memory environment has a direct influence on the AEOS integrated scheduling results, where the PEM environment sufficiently utilizes memory resources and advances the efficiency of the AEOS a lot. (2) The integrated scheduling method enables the reduction in resource consumption and obtains a better result than the separated scheduling method, especially in the HEM environment, (3) and the hybrid meta-heuristics TLA and TSA that show better overall performance are suggested for addressing the studied AEOS integrated scheduling problem.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: • Hem Environmentmentioning

confidence: 99%

See 1 more Smart Citation

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

Xing

Chen

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…Unlike the existing methods for synchronous tracks [7,9,22,25], where the overall likelihood can be based on the comparison with all the simultaneous measurements, the likelihood of asynchronous tracks cannot be obtained in the same way for the lack of unified reference time. To deal with the problem, this subsection introduces a sequential two-stage fusion-based strategy to calculate a tuple likelihood with the flow graph shown in Figure 3.…”

Section: Tuple Likelihood For Asynchronous Mono Tracksmentioning

confidence: 99%

“…A bearings-only sensor network is a complex detection system consisting of multiple optical sensors [8]. Heterogeneous sensors usually have various sampling rates and different detection modes, such as staring and scanning [9,10], in which the measurements are sampled related to the position of the target. For homogeneous sensors, though, it is difficult to eliminate the phase difference because of the independent sampling process.…”

Section: Introductionmentioning

confidence: 99%

A Sequential Two-Stage Track-to-Track Association Method in Asynchronous Bearings-Only Sensor Networks for Aerial Targets Surveillance

Yang

Hou

Zhang

et al. 2019

Sensors

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Successful track-to-track association (TTTA) in a multisensor and multitarget scenario is predicated on a reasonable likelihood function to evaluate the similarity of asynchronous mono tracks. To deal with the lack of synchronous data and prior knowledge of the targets in practical applications, this paper investigates a global optimization method with a novel likelihood function constructed by finite asynchronous measurements with joint temporal and spatial constraints (JTSC). For a scenario with more than two independent sensors, a sequential two-stage strategy is proposed to calculate the similarity of multiple asynchronous mono tracks. For the first stage, based on the temporal features of measurements from different sensors, a pairwise fusion model to estimate the position of the target with two mono tracks is established based on the asynchronous crossing location approach. For the other stage, to evaluate the similarity of the outputs, a pairwise similarity model is constructed by searching for the optimal matching points by setting temporal and spatial constraints. Thus, the likelihood of multiple asynchronous tracks is obtained. Simulations are performed to verify that the proposed method can achieve favorable performance without data-synchronization, and also demonstrate the superiority over the methods based on hinge angle differences (HADs) in some scenarios.

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A framework involving MEC: imaging satellites mission planning

Song

Zhou

Zhang

et al. 2019

Neural Comput & Applic

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Mission planning optimization of video satellite for ground multi-object staring imaging

Cited by 47 publications

References 6 publications

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

A Sequential Two-Stage Track-to-Track Association Method in Asynchronous Bearings-Only Sensor Networks for Aerial Targets Surveillance

A framework involving MEC: imaging satellites mission planning

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