Spatial grid scheduling method and device

Abstract

The invention discloses a spatial grid scheduling method and a spatial grid scheduling device, which are used for realizing the effective scheduling of a remote sensing image. The method comprises thefollowing steps of establishing a spatial grid system; obtaining the coordinate values of the query point, wherein the coordinate values comprise a first longitude value and a first latitude value; converting the first longitude value into a 2n-bit first binary value, wherein the first nine bits of the first binary value represent the integer bits of the first longitude value, and the tenth bit to the 2n-th bit represent decimal bits of the first longitude value; reserving the front L bits of the first binary value, and obtaining a second binary value at other positions 0; converting the first latitude value into a 2n-bit third binary value, wherein the first nine bits of the third binary value represent integer bits of the first latitude value, and the tenth bit to the 2n-th bit represent decimal bits of the first latitude value; reserving the front L bits of the third binary value, and obtaining a fourth binary value at other positions 0; and taking the second binary value and the fourth binary value as the two-dimensional codes of the L-th-level grid corresponding to the query point, wherein L is greater than or equal to 1 and is less than or equal to 2n.

Description

technical field [0001] The present application relates to the technical field of remote sensing image processing, in particular to a spatial grid scheduling method and device. Background technique [0002] With the rapid development of remote sensing image acquisition methods, the era of remote sensing big data has come. Remote sensing images generally refer to satellite remote sensing images and aerial photography images, which have the characteristics of huge amount of data, complex and diverse data formats and coordinate systems. The current remote sensing image data is based on the file organization mode of strips, map frames, bands, etc. In this mode, the remote sensing image data cannot be quickly retrieved, and it takes a long time and tedious processing to continuously browse, which severely limits the application of remote sensing image data. As a result, the due value of remote sensing image data cannot be reflected and mined. [0003] In the existing technology,...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a spatial grid scheduling method and device to solve the technical problem that the remote sensing image data cannot be effectively scheduled in the prior art

Images