Weighted multispectral/hyperspectral remote sensing image color homogenizing method based on Wallis filtering and histogram matching

A technology of hyperspectral remote sensing and histogram matching, which is applied in the field of multi/hyperspectral remote sensing image color homogenization, can solve the problems of large data, deviation, and the overall effect ignores the local characteristics of the image, and achieves enhanced image contrast, noise suppression, and improved image quality. The effect of global matching performance

Active Publication Date: 2020-09-11
HARBIN INST OF TECH
View PDF25 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing image uniformity method only pays attention to the overall effect and ignores the local characteristics of the image, which may cause large deviations in the image data to be uniformed after processing, especially in the image overlapping area. Due to the problem of deviation, a method based on Wallis filter + histogram matching for multiple / hyperspectral remote sensing image color uniformity is proposed

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Weighted multispectral/hyperspectral remote sensing image color homogenizing method based on Wallis filtering and histogram matching
  • Weighted multispectral/hyperspectral remote sensing image color homogenizing method based on Wallis filtering and histogram matching
  • Weighted multispectral/hyperspectral remote sensing image color homogenizing method based on Wallis filtering and histogram matching

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0028] Specific implementation mode 1: This implementation mode is based on the Wallis filter + histogram matching method for color uniformity of multiple / hyperspectral remote sensing images. The specific process is as follows:

[0029] Based on the Wallis filter and the traditional histogram matching algorithm, the invention proceeds from local optimization to overall color uniformity, fully utilizes the information richness of the reference image, and performs color uniformity processing on the image to be uniform color. The purpose of the present invention is to keep the overall tone of the processed remote sensing image consistent, the brightness of the entire image is uniform, and the contrast is suitable, so as to achieve a good effect on enhancing the visual sense of the image, and satisfy researchers and post-processing personnel on ground object problems. Based on the interpretation and analysis of the paper, a method for color uniformity of multiple / hyperspectral remo...

specific Embodiment approach 2

[0039] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is: in the step 2, by counting the information amount and location of the mth group of same-band grayscale images X1, X2, X3, ..., Xi, ..., Xn The richness of objects (types of objects), select a reference image as a reference (the image whose reference value Q is the maximum value); the specific process is:

[0040]Step 21, information entropy indicates the amount of information contained in the mth group of grayscale images X1, X2, X3, ..., Xi, ..., Xn in the same band;

[0041] For the mth group of grayscale images X1, X2, X3, ..., Xi, ..., Xn in the same band, it is considered that each image in the mth group of grayscale images in the same band X1, X2, X3, ..., Xi, ..., Xn The gray values ​​are mutually independent samples, and the proportion of each gray value in a single image (one of the gray images X1, X2, X3, ..., Xi, ..., Xn of the same band in the m group) is p={ p 1 ,p ...

specific Embodiment approach 3

[0051] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that two images are taken in the step three, and one is the grayscale images X1, X2, X3, X1, X2, and X3 of the mth group obtained in step two The reference image Xi of ..., Xi, ..., Xn, and the other is the same-band grayscale image Xj (one of X1, X2, X3, ..., Xi, ..., Xn) that overlaps with the reference image;

[0052] Perform block processing on the overlapping area to obtain sub-blocks, and set the sub-block to take the square of an integer as the best, such as 2*2, 3*3...n*n, so that the area of ​​each sub-block is kept at 50*50~100 *In the range of 100 pixels, too many sub-blocks will lead to obvious partitions, and too few will make the description blurred;

[0053] Do local color uniformity on the overlapping area of ​​the same-band grayscale image that overlaps with the reference image and the reference image (do local color uniformity on the overlapping area...

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

No PUM Login to view more

Abstract

The invention discloses a weighted multispectral/hyperspectral remote sensing image color homogenizing method based on Wallis filtering and histogram matching, and relates to a remote sensing image color homogenizing method. The objective of the invention is to solve the problems that an existing image color homogenizing method only pays attention to the overall effect and ignores the local characteristics of an image, and large deviation may occur in image data to be subjected to color homogenizing after processing, especially large deviation occurs in an image overlapping area. The method comprises: 1, acquiring M groups of same-waveband grayscale images; 2, selecting a reference image; 3, acquiring a new to-be-homogenized image; 4, carrying out histogram matching global color homogenization on the reference image and the new image to be subjected to color homogenization; 5, taking the image subjected to color homogenization as a reference image, repeatedly executing the steps 3-4 until the mth group of same-waveband grayscale images are subjected to color homogenization completely, and splicing; and 6, repeating the steps 2 to 5 to obtain all M groups of spliced grayscale images, and synthesizing all the M groups of spliced grayscale images into a new multi-spectral/hyperspectral remote sensing image. The method is applied to the field of remote sensing image color homogenization.

Description

technical field [0001] The invention relates to a method for uniform coloring of multi / hyperspectral remote sensing image images. Background technique [0002] No matter what means or methods are used to obtain remote sensing data, there will be some external factors such as sensor factors, human factors, and weather conditions, which prevent the acquired remote sensing images from being directly and widely used. These images require scientific research Personnel undergo certain processing and correction, such as image geometry or radiation correction, image uniform color processing, etc. Only after such post-processing can the image be applied to various fields. The color uniformity of the image requires long-term unremitting efforts by researchers to make the remote sensing images acquired in the early stage achieve good visual effects, the color and brightness of the image are as similar as possible to the ground objects themselves, and the texture of the ground objects i...

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
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/40G06T7/90
CPCG06T5/40G06T7/90G06T2207/10024G06T2207/10032G06T2207/20024
Inventor 高国明俞雪雷谷延锋
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap