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June 2, 2026International Journal of Applied Earth Observation and Geoinformation0 citationsOpen Access

Regional target decomposition method for satellite resource allocation in heterogeneous remote sensing constellations

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YWYì WángXSXin ShenDLDeren Li

Key Points

  • The aim is to develop a method for efficient resource allocation in heterogeneous satellite constellations.
  • Proposed a regional decomposition model that frames the problem as a set covering approach.
  • Utilized the HLS-PSO algorithm to optimize both global and local exploration.
  • Designed for scalability and adaptability for large-area remote sensing applications.
  • The method guarantees minimum usage costs for satellite resources.
  • Achieves successful resource allocation for large-area applications in varying environments.

Abstract

• The proposed method achieves resource allocation for heterogeneous constellations. • A robust, scalable, and adaptable EO framework for large-area applications. • The model abstracts the regional decomposition as a special set covering problem. • The model can guarantee minimum satellite usage costs. • The HLS-PSO algorithm can balance global and local exploration.

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Cite This Study

Wáng et al. (2026) studied this question.

synapsesocial.com/papers/6a1e72ad30b38c64201b5e2fhttps://doi.org/10.1016/j.jag.2026.105380
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