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Quick splicing method for large-area-array submeter-level night scene remote sensing image

A remote sensing image, fast stitching technology, applied in the field of remote sensing image processing, to achieve the effect of improving processing speed, simple and easy algorithm, and ensuring accuracy

Active Publication Date: 2018-01-09
CHANGGUANG SATELLITE TECH CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are few existing methods that deal with the stitching problem of large area array sub-meter night scene remote sensing images.

Method used

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  • Quick splicing method for large-area-array submeter-level night scene remote sensing image
  • Quick splicing method for large-area-array submeter-level night scene remote sensing image
  • Quick splicing method for large-area-array submeter-level night scene remote sensing image

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Embodiment Construction

[0057] The invention performs relative radiation correction on the original color image obtained by the sensor to obtain a night scene image with consistent radiation, performs image denoising on isolated noise points, performs RPC-based uncontrolled block adjustment on the denoising night scene image, and performs on-orthophoto image Uniform light and color processing, and RPC-based orthorectification, and finally search for stitching lines for multiple night scene images with consistent colors to obtain ideal night scene stitching images.

[0058] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0059] see figure 1 : A fast mosaic method for large area array sub-meter night scene remote sensing images, including the following steps:

[0060] Step 1: Relative Radiation Correction

[0061] Relative radiation correction, also known as the normalization processing of sensor detection elements, is the processing of normali...

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Abstract

The invention relates to a quick splicing method for a large-area-array submeter-level night scene remote sensing image. The quick splicing method comprises the following steps that: S1: carrying outrelative radiation correction; S2: removing isolated noisy points; S3: carrying out non-control block adjustment based on RPC (Remote Position Control); S4: carrying out light and color uniformity processing; and S5: carrying out ortho-rectification and image resampling based on the RPC. By use of the quick splicing method for the large-area-array submeter-level night scene remote sensing image, an original image is subjected to the relative radiation correction, image denoising, the non-control block adjustment based on RPC, light and color uniformity, the ortho-rectification based on the RPC, the image resampling and the like to obtain a large-range night scene remote sensing splicing image. In addition, through GPU (Graphics Processing Unit) acceleration, the quick processing of an algorithm is realized, the accuracy of the algorithm is guaranteed, processing speed is greatly improved, the algorithm is simple and easy in implementation, and the algorithm can be easily directly applied in engineering processing.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to a fast splicing method for large area array sub-meter-level night scene remote sensing images. Background technique [0002] Image stitching, also known as image mosaic, is a technical process of stitching together two or more images with a certain degree of overlap to form an overall image. In remote sensing image applications, in order to obtain a larger range of remote sensing images, it is usually necessary to process and stitch together images with a smaller format or from different sensors. Only through simple splicing, there will be obvious geometric structure dislocation and radiation difference at the splicing. The dislocation of the geometric structure is caused by the incorrect spatial relative positional relationship of the mosaic image or certain geometric distortion in the local area of ​​the image, while the difference in radiation is caused by the d...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T3/00G06T5/00
Inventor 武红宇白杨王灵丽谷文双潘征陆晗钟兴
Owner CHANGGUANG SATELLITE TECH CO LTD
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