SAR image and optical image fusion method based on HSL and image entropy

An optical image and fusion method technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of complex implementation and poor versatility, and achieve the effect of simple operation and remarkable effect.

Active Publication Date: 2019-01-01
NAT SPACE SCI CENT CAS
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Problems solved by technology

[0003] So far, there have been many methods for fusing SAR images and optical images, such as wavelet transform fusion method, information entropy fusion method, etc. poor versatility

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  • SAR image and optical image fusion method based on HSL and image entropy
  • SAR image and optical image fusion method based on HSL and image entropy
  • SAR image and optical image fusion method based on HSL and image entropy

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Embodiment Construction

[0052] The present invention will be further described now in conjunction with accompanying drawing.

[0053]Based on the HSL model and image entropy, the present invention is committed to providing a simple and effective fusion method of SAR images and optical images. Among them, the HSL model is used to extract the color information of the optical image, and the entropy parameter reflecting the amount of image information is used to realize the adaptive fusion of the texture information of the SAR image and the optical image. The color information of the image realizes the adaptive combination of the two.

[0054] refer to figure 1 and figure 2 , a kind of SAR image and optical image fusion method based on HSL and image entropy that the present invention proposes, comprises the following steps:

[0055] Step 1), read in the SAR image I to be fused SAR and Optical Image I OPT , will I OPT Convert from the RGB model to the HSL model to obtain the chroma (Hue) component ...

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Abstract

The invention discloses a SAR image and optical image fusion method based on HSL and image entropy, The method comprises the following steps: 1) reading the SAR image ISAR and the optical image IOPT to be fused, converting the optical image IOPT from an RGB model to an HSL model, and obtaining a chromaticity component H, a saturation component S and a luminance component L; Step 2) comparing the read SAR image ISAR and the obtained optical image brightness L, respectively, obtaining two symbols described in the description; step 3) Based on the two symbols described in the description, calculating image entropy parameters ESAR and EOPT reflecting the amount of information in SAR images and optical images; 4) base on the image entropy parameters ESAR and EOPT, calculating normalized weightsalpha and beta, and performing linear weighting summation on the two symbols described in the description to obtain that luminance component LFUSE of the fusion image; 5) combining chromaticity H, saturation S and brightness LFUSE to construct HSL model of fused image IFUSE and converting it into RGB model output. The method of the invention has obvious effect, simple operation and no human intervention and intervention are required.

Description

technical field [0001] The invention relates to a multi-source image fusion method, in particular to a SAR image and optical image fusion method based on HSL and image entropy. Background technique [0002] There are essential differences between SAR imaging and optical imaging (literature [1]: D.Li, Y. Zhang. Epipolarometry comparison of SAR and optical camera. Proceedings of SPIE, vol.9901, no.9910V, pp.1-9, 2016). SAR actively emits microwaves to detect the scattering of targets, and optical cameras passively receive them to record the reflection of visible light from targets. Differences in imaging methods, observation geometry, and frequency bands make SAR imaging a coherent measurement, and optical imaging an incoherent measurement (literature [2]: Y. Zhang, J. Jiang. Why optical images are easier to understand than radar images? – From the electromagnetics cattering and signal point of view. Proceedings of PIERS, Guangzhou, China, 2014, pp.1411-1415). The former ca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/10044G06T2207/10052G06T2207/20221
Inventor 李东张云华石晓进董晓翟文帅
Owner NAT SPACE SCI CENT CAS
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