A method for calculating and confirming coverage areas of multi-satellite sensors for earth observation

Abstract

A method for merging and confirming the earth observation coverage area of ​​multiple satellite sensors, including the following steps: obtaining the earth observation coverage area of ​​the satellite sensor; establishing an outer rectangle of the coverage area, judging the positional relationship of the outer rectangle; judging the initial position of the coverage area Positional relationship; determine whether there are internal holes in the coverage area; when there are no internal holes in the coverage area: if the coverage area is an inclusion relationship, the coverage area used for inclusion is a merged area; if the coverage area is an intersection relationship, proceed Calculate intersection points and mark the identification of intersection points. Through traversal rules, determine the merged area and internal holes; when there are internal holes in the coverage area, determine the positional relationship between the internal holes and the coverage area: if the coverage area has an intersection relationship, calculate the intersection point and mark it. The identification of the intersection points determines the merge area and internal holes through traversal rules; if the coverage area is an inclusion relationship, determine the coverage area used for inclusion as the merge 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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