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A Non-Linear Transformation Method Suitable for Remote Sensing Image Reduction and Enhanced Display

A non-linear transformation and enhanced display technology, applied in the field of non-linear transformation, can solve the problems that 10-bit or 16-bit images cannot be displayed, and the visualization effect is poor, so as to achieve the effect of improving the visualization effect, increasing the contrast, and improving the contrast

Active Publication Date: 2021-06-01
CHANGGUANG SATELLITE TECH CO LTD
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Problems solved by technology

[0009] The present invention solves the problem that existing satellite remote sensing images are all 10-bit or 16-bit images that cannot be displayed on the computer display screen, and the existing image grayscale transformation method has poor visualization effect and certain limitations. display, it needs to be downgraded to 8-bit image

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  • A Non-Linear Transformation Method Suitable for Remote Sensing Image Reduction and Enhanced Display
  • A Non-Linear Transformation Method Suitable for Remote Sensing Image Reduction and Enhanced Display
  • A Non-Linear Transformation Method Suitable for Remote Sensing Image Reduction and Enhanced Display

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specific Embodiment approach 1

[0039] Specific implementation mode 1. Combination Figure 1 to Figure 7 Describe this implementation mode, a nonlinear transformation method suitable for remote sensing image reduction and enhanced display, the specific process of this method is:

[0040] 1. Input the image src to be processed, decompose the src image into an RGB three-channel image, expressed as R src , Gsrc , B src ;

[0041] Second, respectively for R src , G src , B src The three-channel image is subjected to piecewise nonlinear transformation to obtain the transformed image R mid , G mid , B mid , the process includes the following steps:

[0042] 2.1 R channel image R src Perform cumulative histogram statistics to find the cumulative histogram figure 2 .5% and 99.5% gray value c and d;

[0043] 2.2 Calculate the segment points a and b of the nonlinear transformation according to the gray value c and d, the calculation formula is:

[0044]

[0045] 2.3 Find R src The maximum gray value i...

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Abstract

A non-linear transformation method suitable for bit reduction and enhanced display of remote sensing images, which relates to the technical field of remote sensing image processing. To solve the problems of poor visualization effect and certain limitations in the existing image grayscale transformation method, in order to be able to display on the computer screen, it needs to be downgraded to 8-bit image. Simultaneously, aiming at the characteristics of remote sensing image itself such as low contrast and low brightness, the present invention includes the following steps: 1) importing the remote sensing image src to be processed; 2) sequentially performing segmented nonlinear transformation on the RGB three-channel image of src; The bit reduction calculation is performed on the image after the linear transformation; 4) the three-channel images after the bit reduction are merged to obtain the final bit reduction display image dst. The present invention can realize the reduction and display of the remote sensing image while enhancing the contrast of the image display, so that the image after the reduction and enhanced display has a good visual effect.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a nonlinear transformation method suitable for remote sensing image reduction and enhanced display. Background technique [0002] The development of remote sensing technology enables us to obtain extremely rich information, especially in recent years, the emergence of high-resolution remote sensing images has expanded the field of vision for observing the natural world. Remote sensing images contain a wealth of geographic information, which provides important information for us to recognize land, develop resources, study the environment, and analyze global changes. [0003] Currently commonly used satellite remote sensing images are 10-bit or 16-bit images, such as Gaofen-1, Jilin-1, ZY3, Landsat8, etc. However, since the computer screen only supports 8-bit image display, if you want to display 16-bit remote sensing images, you need to downgrade them. Th...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10032G06T2207/10024G06T2207/30181G06T5/90G06T5/73
Inventor 翟雨微高放王春月钟兴安源朱瑞飞张鹏李竺强
Owner CHANGGUANG SATELLITE TECH CO LTD