High-performance remote sensing image synthesis method and device

A remote sensing image and synthesis method technology, applied in the field of remote sensing image processing, can solve the problems of difficulty in ensuring the color consistency of the substitute area, image quality degradation, and heavy workload, so as to improve the calculation and processing efficiency, ensure the color consistency, improve the The effect of image utilization

Active Publication Date: 2017-06-13
SUZHOU ZHONGKE IMAGE SKY REMOTE SENSING TECH CO LTD +1
View PDF6 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the rapid mosaic of the existing technology requires a lot of manual selection of cloud-free and clear images to participate in the mosaic, which is inefficient; massive data provides rich raw materials for mosaic but also causes a lot of redundancy
As for the seamless replacement of the cloud area, it is still necessary to manually select the backup images, which is a heavy workload and

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
  • High-performance remote sensing image synthesis method and device
  • High-performance remote sensing image synthesis method and device
  • High-performance remote sensing image synthesis method and device

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0059] Example 1

[0060] Such as figure 1 As shown, the present invention provides a remote sensing image synthesis method, which includes the following steps:

[0061] S10: Obtain original remote sensing image data, and extract cloud coverage areas in the original remote sensing image data;

[0062] S20: Perform mask trimming on the extracted remote sensing image data to obtain cloud-free debris image data and

[0063] storage;

[0064] S30: Divide the task area to be combined into blocks to obtain multiple subtask areas;

[0065] S40: According to the cloudless mosaic rule and based on the cloudless fragment image data, perform parallel processing of replacement and mosaic on the cloudless fragment image data in each subtask area, and output the composite cloudless image data block of each subtask area;

[0066] S50: Summarize the cloud-free image blocks obtained in each sub-task area, and output a synthetic cloud-free remote sensing image of the entire task area.

[0067] In the abov...

Example Embodiment

[0076] Example 2

[0077] On the basis of Embodiment 1, this embodiment provides a remote sensing image synthesis device, such as Picture 10 As shown, it includes: a preprocessing module 10, which is used to obtain original remote sensing image data, and extract the cloud coverage area in the original remote sensing image data; and a cropping module 20, which is used to mask and crop the extracted remote sensing image data to obtain Cloud-free fragment images are stored; the area division module 30 is used to divide the task area into multiple sub-task areas to obtain at least one sub-task area; the replacement mosaic processing module 40 is used to perform the sub-task area according to cloud mosaic rules Parallel replacement mosaic processing to output synthetic cloud-free image data blocks corresponding to the sub-task area; summarization module 50 for summarizing synthetic image data blocks in multiple sub-task areas to output synthetic cloud-free remote sensing images in t...

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 high-performance remote sensing image synthesis method. The method comprises the steps that original remote sensing image data is acquired, and a cloud covered area in the original remote sensing image data is extracted; mask clipping is performed on the remote sensing image data obtained after extraction, and cloudless fragment image data is obtained and stored; a task area to be synthesized is divided into blocks to obtain multiple subtask areas; the cloudless fragment image data in the subtask areas is subjected to substitutive inlaying parallelization processing according to cloudless inlaying rules, and synthesized cloudless image data blocks in all the subtask areas are output; and the cloudless image data blocks acquired from all the subtask areas are gathered to output a synthesized cloudless remote sensing image of the whole task area. According to the method, only a cloudless fragment image is stored, so that the data storage volume is lowered; substitutive inlaying processing is performed according to areas in a multithread parallel mode, thus, efficiency is improved, and a large-range cloudless inlaid image can be acquired; by means of local histogram matching, the problem of hue inconsistency is eliminated while hue adjustment is guaranteed.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, and more specifically, the invention relates to a high-performance remote sensing image synthesis method and device. Background technique [0002] Remote sensing technology takes the earth as a complete system, studies the spatial structure and interaction of its various circles, conducts qualitative and quantitative analysis of remote sensing data, and solves problems in the earth's resources and environment. Remote sensing technology has the advantages of macroscopic, rapid and repeated observation, and is widely used in environmental protection and resource investigation of land, water conservancy, forestry and agriculture. [0003] Remote sensing sensors can only capture images of a local area at a time, which is far from meeting the needs of large-scale remote sensing monitoring. In order to obtain a larger range of remote sensing images, it is usually necessary to p...

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
IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/10024G06T2207/10032G06T2207/20221
Inventor 黄启厅胡晓东王喆骆剑承
Owner SUZHOU ZHONGKE IMAGE SKY REMOTE SENSING TECH CO LTD
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