Abstract
Regional remote sensing image products are playing an important role in an increasing number of application fields. Aiming at multi-satellite imaging task planning for large-area image acquisition, this paper proposes a multi-objective modeling method. First, we analyzed the core requirements of regional mapping for multi-satellite imaging mission planning: Full coverage of the target area and low consumption of satellite resources. Second, an optimization model with two objective functions, namely the maximum target area coverage and minimum satellite resource utilization, was established. Using the selection of imaging strips and their swing angles as two types of decision variables, the regional decomposition and satellite resource allocation were integrated into the planning model. Third, two efficient algorithms, Vatti and non-dominated sorting genetic algorithm (NSGA-II), were used for objective function calculation and model solving, respectively. Finally, the experiments used Hubei, Finland, and Congo as the target areas and GF1, GF6, ZY1-02C, and ZY3 as imaging satellites to verify the modeling method proposed in this paper. The experiments showed that the proposed multi-objective modeling method could complete the coverage of regional targets with fewer satellite resources and improve the satellite application efficiency significantly.
Highlights
Regional mapping refers to the process of obtaining remote sensing images through planning satellites and generating complete regional images through geometric and radiation processing of remote sensing images [1]
The basic process of regional mapping should include the following steps: (1) Satellite imaging task planning to obtain a satellite imaging scheme; (2) obtaining remote sensing image data according to imaging scheme; and (3) generating regional digital orthophotos and other regional image products through image preprocessing, image matching, block adjustment, orthophoto correction, fusion, uniform light and color, mosaic, and other processes
Among these steps, imaging task planning involves reasonably allocating satellite resources and imaging time to earth observation tasks on the precondition of satisfying complex constraints [8]. It is the basic step of regional mapping, which is an important guarantee for efficient and high-quality acquisition of regional image products [9]
Summary
Regional mapping refers to the process of obtaining remote sensing images through planning satellites and generating complete regional images through geometric and radiation processing of remote sensing images [1]. The basic process of regional mapping should include the following steps: (1) Satellite imaging task planning to obtain a satellite imaging scheme; (2) obtaining remote sensing image data according to imaging scheme; and (3) generating regional digital orthophotos and other regional image products through image preprocessing, image matching, block adjustment, orthophoto correction, fusion, uniform light and color, mosaic, and other processes. Among these steps, imaging task planning involves reasonably allocating satellite resources and imaging time to earth observation tasks on the precondition of satisfying complex constraints [8]. It is the basic step of regional mapping, which is an important guarantee for efficient and high-quality acquisition of regional image products [9]
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