Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Sparse Representation-Based Declouding Method for Multispectral Remote Sensing Images

A remote sensing image, sparse representation technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of poor cloud removal effect, unstable cloud and fog images, and lack of universality.

Inactive Publication Date: 2017-01-11
高邮市通邮电子商务产业园发展有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But this method is not universal, and it is not effective for some specific targets
[0005] In summary, the traditional methods of using SAR images to remove cloud and fog images have shortcomings such as instability.

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
  • A Sparse Representation-Based Declouding Method for Multispectral Remote Sensing Images
  • A Sparse Representation-Based Declouding Method for Multispectral Remote Sensing Images
  • A Sparse Representation-Based Declouding Method for Multispectral Remote Sensing Images

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0047] (1) Cloud area and shadow detection

[0048] Because the cloud area in the Landsat-5TM image has a higher brightness value, a threshold-based method can be used to detect the cloud area. For a given cloud-containing image I, judge the pixel points in I one by one, if the pixel value of the current point is greater than the given threshold TH=230, consider this point to be a candidate point of cloud area; otherwise, consider it not to be a cloud area. However, due to the interference of other ground objects, there are many isolated pixel points in the candidate points of the cloud area, so these isolated interference points need to be removed to determine the cloud area. When the pixel points in the cloud area are determined, the shadow part of the cloud can be determined by the position of the cloud and the direction of the light. The pixel value is lower than 50, and the size of the area near the cloud area is 25% of the original image size according to the light direc...

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 present invention relates to a multispectral remote sensing image cloud removing method based on sparse representation. The method is characterized in that while a multitemporal method is utilized, the SAR images and the low resolution multispectral images of different time phases are utilized to establish the sparse dictionary pairs with the corresponding image blocks of the high resolution multispectral images separately, and then the cloud sector part information is reconstructed by utilizing the sparse codes, wherein a low resolution optical image dictionary provides the main low frequency information, and a SAR image dictionary provides the main high frequency information. Compared with the conventional method of just utilizing the SAR images to remove the cloud, by the method of the present invention, the reconstruction images which are closer to the real scenes are obtained, and the high frequency information of the images are retained better while the complete low frequency information is guaranteed. The method of the present invention is also suitable for removing the clouds of the small and large regions, and can realize the more ideal effects.

Description

technical field [0001] The invention belongs to computer image processing, relates to a multi-spectral remote sensing image processing, in particular to a sparse representation-based multi-spectral remote sensing image cloud removal method. Background technique [0002] As an important source of remote sensing data, optical images have important application value in the fields of resources, meteorology, and environmental monitoring. However, optical images are easily affected by weather, especially clouds and fog. According to statistics, about 2 / 3 of optical images are interfered by clouds and fog every year. come to great difficulty, such as image recognition and classification. Therefore, it has very important research background and practical significance to use image processing technology to remove or weaken the influence of clouds and fog and improve the utilization rate of remote sensing data. [0003] Traditional remote sensing image cloud removal methods mainly in...

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 Patents(China)
IPC IPC(8): G06T5/00
Inventor 李映李文博韩晓宇
Owner 高邮市通邮电子商务产业园发展有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com