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Optimal coverage satellite image screening method based on geographic grids

A satellite image and geographic grid technology, applied in the field of remote sensing, can solve the problems of satellite image automation level and low efficiency, and achieve the effect of ensuring reliability, good versatility, and small amount of calculation

Active Publication Date: 2019-07-12
WUHAN UNIV
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Problems solved by technology

[0011] The present invention mainly solves the problem of low automation level and efficiency of obtaining the optimal single-coverage satellite image of a designated area in the prior art

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  • Optimal coverage satellite image screening method based on geographic grids
  • Optimal coverage satellite image screening method based on geographic grids
  • Optimal coverage satellite image screening method based on geographic grids

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Embodiment Construction

[0029] The technical scheme of the invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0030] The present invention proposes a method based on regular geographic grids, using iteration and multi-condition constraints (constraint conditions allow self-definition, strong scalability), and screens large-scale satellite images that cover the same area multiple times, effectively screening It produces large-scale multi-source satellite images covering a single time. At the same time, this screening algorithm is fully automatic, with a very small amount of calculation and high processing efficiency. It is suitable for satellite images of various sensor types.

[0031] Such as figure 1 , the embodiment provides a geographic grid-based optimal coverage satellite image screening method, based on a regular geographic grid, using loop iterations and multi-conditional constraints (conditions are self-defined, expandable), for large-...

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Abstract

The invention provides an optimal coverage satellite image screening method based on geographic grids. The method comprises the following steps of: reading auxiliary files of all satellite images in ameasurement area range, and obtaining geographic information and attribute information of each satellite image; obtaining a geographic grid corresponding to the measurement area according to the geographic information; calculating the coverage degree of each grid unit in the corresponding geographic grid of the measurement area; finding out a grid unit with the maximum coverage, obtaining all satellite images covering the grid unit, and then taking the satellite image with the highest total weight as a screened satellite image according to various set attribute information related constraintconditions and the coverage condition of each satellite image on the grid unit; after iteration execution is completed, obtaining a final screening result based on the overlapping degree. The method is provided for solving the problem that in the prior art, the processing efficiency of large-range multi-coverage satellite images is not high, and on the premise that the specified overlapping degreeis guaranteed, the least image set with the optimal quality and the optimal coverage is obtained.

Description

technical field [0001] The invention relates to the field of remote sensing, in particular to a method for screening satellite images with optimal coverage based on geographic grids. Background technique [0002] With the continuous increase in the number of satellites in orbit, satellite images covering most of the world are rapidly accumulating, providing massive and usable original satellite image data for relevant scientific research and practical engineering applications. For a large-scale area to be studied with multiple coverage satellite image data, how to automatically select the minimum set of satellite images with the best quality and meet the requirements, so as to avoid the impact of redundant images on processing efficiency and low-quality images on processing accuracy, is a big problem. In the data era, satellite images are processed efficiently and with high precision and served as key issues for practical applications. [0003] Although there are many studi...

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Application Information

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IPC IPC(8): G06F16/29G06F16/53
CPCG06F16/29G06F16/53
Inventor 陶鹏杰席可
Owner WUHAN UNIV
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