Satellite remote sensing image fusion method

Abstract

The invention discloses a satellite remote sensing image fusion method comprising that: natural color waveband combined intensity I, a ratio R of near-infrared waveband intensity to the natural color waveband combined intensity I, and a normalized difference vegetation index NDVI are respectively calculated with regard to a multispectral remote sensing image with a near-infrared waveband, a red light waveband, a green light waveband and a blue light waveband, and then a basic enhancement operator k1 is established according to the ratio R. A characteristic selection operator k2 and a characteristic smooth operator k3 are established according to the NDVI. A spectrum integrated compensation coefficient S is formed by the production of k1, k2 and k3, and then each waveband value in the image is multiplied by (1+S) so that the obtained result is the result after fusion of all the wavebands. The near-infrared waveband acts as a data source for enhancement processing, and the enhancement operator with clear physical meaning is designed to perform selective characteristic fusion enhancement on the remote sensing image so that the method is simple, operation is rapid, and the method is applicable to multiband satellite images with near-infrared, red, green, and blue spectral data.

Description

technical field [0001] The invention relates to the field of satellite remote sensing image processing research, in particular to a satellite remote sensing image fusion method. Background technique [0002] Generalized remote sensing image enhancement includes image processing techniques such as image radiation correction, band combination, band operation, filtering, denoising, color transformation, and histogram adjustment. Image enhancement in a narrow sense refers specifically to the process of histogram adjustment of images that have undergone radiation correction and band combination. Traditional image enhancement methods include segmented linear stretching, brightness / contrast adjustment, color balance, color scale and curve adjustment, etc. Certain principles should be followed in the process of image enhancement, mainly including the following points: (1) Difference principle: The basic principle of image enhancement is to highlight the differences between differen...

AI Technical Summary

Problems solved by technology

[0011] Nevertheless, the inherent and external defects of natural color (true color) images remain the same, seriously affecting its application effect

Direct use of general enhancement techniques such as traditional histogram adjustment can overcome its external shortcomings to a certain extent, but it is difficult and inefficient, and has a lot to do with the experience and cognition of operators; and it should be used to overcome its inherent defects it is almost impossible

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