An Adaptive Remote Sensing Image Fusion Method Based on Saliency Analysis
A remote sensing image fusion and remote sensing image technology, which is applied in the field of remote sensing image processing, can solve the problems of fusion method differentiation and images that cannot satisfy observers well, and achieve the effect of solving different spatial resolution and spectral information requirements
Active Publication Date: 2016-09-28
BEIJING NORMAL UNIVERSITY
View PDF2 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the existing image fusion methods all uniformly process the entire image, and do not differentiate the fusion methods for different regions, resulting in the fused image not being able to meet the needs of the observer.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0031] The present invention will be further described below in conjunction with the accompanying drawings. figure 1 The flow chart of the method of the present invention is shown, and the implementation details of each step are now introduced.
[0032] Step 1: The multispectral image is transformed by IHS to obtain I, H, and S components, and the I, H, and S components respectively represent the brightness (Intention), chroma (Hue) and saturation (Saturation) of the image. The transformation and inverse transformation methods of transforming an image from RGB space to IHS space are as follows:
[0033] I V 1 V 2 = 1 3 ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a significance analysis based self-adaptive remote sensing image fusion method and belongs to the technical field of remote sensing image treatment. The implementation process comprises the steps of: 1) performing HIS (Intensity-Hue-Saturation transformation) on a multi-spectrum image to obtain I, H, S components; 2) performing significance analysis on a panchromatic remote sensing image by adopting multi-scale spectrum residuals to obtain a significant region and an insignificant region; 3) adopting a windowing HIS transformation based fusion method for the significant region and adopting a wavelet transformation based fusion method for the insignificant region; 4) combining the obtained I components of both the significant region and the insignificant region, and performing HIS inverse transformation for the combined component I, the H and S components of the multi-spectrum image to obtain a fusion image. Through the significance analysis based self-adaptive fusion, the significance analysis based self-adaptive remote sensing image fusion method well keeps the space resolution and spectrum information for the significant region, efficiently reduces the spectrum torsion resistance for the insignificant region, solves the problems of different demands of different regions in the remote sensing image fusion on the space resolution and the spectrum information, and can be used in the fields such as environment monitoring, land utilization and agricultural investigation.
Description
technical field [0001] The invention belongs to the technical field of remote sensing image processing, in particular to an adaptive remote sensing image fusion method based on significance analysis. Background technique [0002] Remote sensing image fusion refers to the method of selectively and strategically combining image information with different observation characteristics obtained by different sensors to obtain new images with better observation characteristics. It is an important preprocessing link for many remote sensing image applications. It has a wide range of applications in many fields such as environmental monitoring, land use, agricultural survey and energy detection. [0003] In the current image fusion technology, the fusion of multispectral images and panchromatic remote sensing images is a common choice for remote sensing image fusion. Panchromatic remote sensing image (PAN: panchromatic image) has high definition and rich spatial detail information, bu...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 张立保章珏杨绪业
Owner BEIJING NORMAL UNIVERSITY