Merging calculation confirmation method of earth observation coverage of multiple satellite sensors

Abstract

The invention provides a merging calculation confirmation method of earth observation coverage of multiple satellite sensors. The method comprises the following steps: obtaining coverage areas of the earth observation of the satellite sensors; establishing wrapping rectangles of the coverage areas, and judging the position relationship of the coverage areas; judging the initial position relationship of the coverage areas; judging whether internal loopholes exist in the coverage areas; if no internal loophole exists in the coverage areas, and if the coverage areas form an inclusion relation, the coverage area for including is a merging area; if the coverage areas form an overlapping relation, performing intersection calculation and marking an identifier of the intersection, and determining the merging area and the internal loopholes through an ergodic rule; when the internal loopholes exist in the coverage areas, judging the position relationship of the internal loopholes and the coverage areas, if the coverage areas form the overlapping relation, performing intersection calculation and marking the identifier of the intersection, and determining the merging area and the internal loopholes through the ergodic rule; and if the coverage areas form the inclusion relation, determining the coverage area for including as the merging area.

Description

technical field [0001] The invention relates to the field of earth observation by smart earth, in particular to a method for calculating and confirming coverage areas of earth observation by multi-satellite sensors. Background technique [0002] According to scientists' estimates, by 2020, there will be seven trillion wired or wireless sensors in the world, which are organized through the network to meet people's immediate needs. Under the field model of geographic information science, since sensors are ubiquitous, it is believed that any geographical location on the earth has the need to be observed, and there is a continuous observation capability information field on the entire earth surface, which needs to be discovered to meet the requirements. The sensor is used for observation, and the observation ability of the sensor is an important basis for sensor mining. The observation space range is an important part of the sensor observation capability. There are different ty...

AI Technical Summary

Problems solved by technology

From a technical point of view, the problem of solving the entire area covered by multi-satellite sensor observations is actually a problem of merging multiple polygons. Known effective algorithms such as the Weiler algorithm can perform effective merging of concave and convex polygons, but it is Special cases such as edge coincidence and vertex coincidence are not considered; in addition, algorithms such as Sutherland-Hodgeman can also effectively clip polygons, but these algorithms require polygons to be rectangles, which are not applicable in most practical situations

To sum up, it can be seen that the current algorithms for polygon union either limit the shape of polygons, or cannot take into account some common special cases.

In view of the demand for quantitative assessment of multi-satellite sensor cooperative observation capabilities, there is currently a lack of methods for calculating and confirming the coverage area of ​​multiple satellite sensors for earth observation

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