WO2018137085A1 - Système d'analyse et de traitement d'image - Google Patents

Système d'analyse et de traitement d'image Download PDF

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Publication number
WO2018137085A1
WO2018137085A1 PCT/CN2017/072356 CN2017072356W WO2018137085A1 WO 2018137085 A1 WO2018137085 A1 WO 2018137085A1 CN 2017072356 W CN2017072356 W CN 2017072356W WO 2018137085 A1 WO2018137085 A1 WO 2018137085A1
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WO
WIPO (PCT)
Prior art keywords
image
unit
analyzed
module
browsing
Prior art date
Application number
PCT/CN2017/072356
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English (en)
Chinese (zh)
Inventor
熊益冲
Original Assignee
深圳企管加企业服务有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳企管加企业服务有限公司 filed Critical 深圳企管加企业服务有限公司
Priority to PCT/CN2017/072356 priority Critical patent/WO2018137085A1/fr
Publication of WO2018137085A1 publication Critical patent/WO2018137085A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis

Definitions

  • the present invention relates to the field of imaging technologies, and in particular, to an image analysis processing system.
  • Imaging spectroscopy is a comprehensive technology integrating detector technology, precision optics, weak signal detection, computer technology and information processing technology. The most important feature is the combination of imaging technology and spectral detection technology. While imaging the spatial features of the target, each spatial pixel is dispersed to form dozens or even hundreds of narrow bands for continuous spectral coverage.
  • Spectral imaging technology increases the spectral dimension information based on geometric imaging, thus extending the depth of perception of matter.
  • the UAVs used in the civilian sector (land, ocean, agriculture, forestry, planning, environmental protection, and disaster reduction) are mainly low-cost, light and small, which has promoted various types of light and small loads (including light and small multi-spectral cameras) to become current. Market demand hotspots.
  • Embodiments of the present invention provide an image analysis processing system. By using the embodiments of the present invention, spectral imaging reproducibility is better, and the spectral imaging application range is expanded.
  • An embodiment of the present invention provides an image analysis processing system, where the system includes: an image browsing unit, an image preprocessing unit connected to the image browsing unit, a geometric correction unit connected to the image preprocessing unit, and the a radiation calibration unit connected to the correction unit, an image registration unit connected to the radiation calibration unit, a remote sensing application unit connected to the image registration unit, and a route monitoring unit connected to the remote sensing application unit, wherein ,
  • the image browsing unit is configured to collect an image to be analyzed
  • the image preprocessing unit is configured to preprocess the collected image to be analyzed
  • the correction unit is configured to perform geometric correction on the pre-processed image to be analyzed
  • the radiation calibration unit is configured to perform radiometric calibration on the corrected image to be analyzed
  • the image registration unit is configured to register and fuse the image to be analyzed after the radiation calibration
  • the remote sensing application unit is configured to apply the image to be analyzed after registration and fusion to the remote sensing detection;
  • the route monitoring unit is configured to monitor route information.
  • the image browsing unit includes: a data extraction module and a browsing module, where
  • the data extraction module is configured to extract the image data to be analyzed
  • the browsing module is configured to browse the image to be analyzed.
  • the image preprocessing unit includes:
  • An image format conversion module for converting a format of an image to be analyzed
  • An image adjustment module configured to adjust the basic data of the image to be analyzed
  • An image compression module is configured to compress the image to be analyzed.
  • the image adjustment module is configured to adjust contrast and color balance of the data to be analyzed.
  • the correcting unit includes:
  • a correction module configured to perform coarse geometric correction on the image to be analyzed
  • a positioning module configured to locate the image to be analyzed.
  • the radiometric calibration unit includes:
  • a calibration inversion module for inverting data after radiometric calibration
  • a non-uniformity correction module for performing non-uniformity correction on the data after the radiometric calibration
  • the image registration unit includes:
  • Splicing module for splicing large-format images to be analyzed
  • a registration module for multispectral image registration of the image to be analyzed.
  • the remote sensing application unit includes:
  • a flare removal module for removing flares of an image to be analyzed by a water color application
  • Cyanobacteria processing module for qualitative detection and quantitative inversion of cyanobacteria.
  • the route monitoring unit includes:
  • a drawing module for drawing track points and drawing maps.
  • the spectral imaging reproducibility is better, and the spectral imaging application range is expanded.
  • FIG. 1 is a schematic structural diagram of an image analysis processing system according to an embodiment of the present invention.
  • references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the invention.
  • the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
  • FIG. 1 is a schematic structural diagram of an image analysis processing system according to an embodiment of the present invention.
  • the image analysis processing system 10 in the embodiment of the present invention includes the following parts:
  • the image browsing unit 100 The image browsing unit 100, the image pre-processing unit 200 connected to the image browsing unit 100, the correction unit 300 connected to the image pre-processing unit 200, and the radiation calibration unit 400 connected to the correction unit 300,
  • the image registration unit 500 connected to the radiation calibration unit 400, the remote sensing application unit 600 connected to the image registration unit 500, and the route monitoring unit 700 connected to the remote sensing application unit 600, wherein
  • the image browsing unit 100 is configured to collect an image to be analyzed.
  • the image browsing unit 100 of the embodiment of the present invention includes: a data extracting module 101 and a browsing module 102, where
  • a data extraction module 101 configured to extract image data to be analyzed
  • the browsing module 102 is configured to browse an image to be analyzed.
  • the image preprocessing unit 200 is configured to preprocess the collected image to be analyzed.
  • the image pre-processing unit 200 includes:
  • the image format conversion module 201 is configured to convert the format of the image to be analyzed.
  • the image adjustment module 202 is configured to adjust the basic data of the image to be analyzed.
  • the image compression module 203 is configured to compress the image to be analyzed.
  • the image adjustment module 202 is configured to adjust the contrast and color balance of the data to be analyzed.
  • the correcting unit 300 is configured to perform geometric correction on the pre-processed image to be analyzed.
  • correction unit 300 includes:
  • a correction module 301 configured to perform coarse geometric correction on the image to be analyzed
  • the positioning module 302 is configured to locate the image to be analyzed.
  • the radiation calibration unit 400 is configured to perform radiation calibration on the geometrically corrected image to be analyzed.
  • the radiation calibration unit 400 includes:
  • a calibration inversion module 401 configured to perform inversion after radiometric calibration
  • the non-uniformity correction module 402 is configured to perform non-uniformity correction on the data after the radiometric calibration.
  • the image registration unit 500 is configured to register and fuse the image to be analyzed after the radiation calibration.
  • the image registration unit 500 includes:
  • a splicing module 501 configured to splicing a large-format image to be analyzed
  • the registration module 502 is configured to perform multi-spectral image registration on the image to be analyzed.
  • the remote sensing application unit 600 is configured to apply the image to be analyzed after registration and fusion to the remote sensing detection.
  • the remote sensing application unit 600 includes:
  • a flare removal module 601 configured to remove a flare of an image to be analyzed by a water color application
  • the cyanobacteria treatment module 602 is used for qualitative detection and quantitative inversion of cyanobacteria.
  • the route monitoring unit 700 is configured to monitor route information.
  • route monitoring unit 700 includes:
  • the drawing module 701 is configured to draw a track point and draw a map.
  • multi-processing of the acquired spectral imaging can make the spectral imaging reproducibility better, and expand the scope of spectral imaging application.
  • the embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium may store a program, and the program includes some or all of the steps of the monitoring method of any one of the service processes described in the foregoing method embodiments.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separated as The components displayed by the unit may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like, which can store program codes.
  • the program may be stored in a computer readable storage medium, and the storage medium may include: Flash disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or optical disk.
  • ROM Read-Only Memory
  • RAM Random Access Memory

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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

La présente invention porte, selon un mode de réalisation, sur un système d'analyse et de traitement d'image. Le système comprend : une unité de navigation d'image ; une unité de prétraitement d'image, raccordée à l'unité de navigation d'image ; une unité de correction géométrique, raccordée à l'unité de prétraitement d'image ; une unité d'étalonnage de rayonnement, raccordée à l'unité de correction géométrique ; une unité d'enregistrement d'image, raccordée à l'unité d'étalonnage de rayonnement ; une unité d'application de détection à distance, raccordée à l'unité d'enregistrement d'image ; et une unité de surveillance de compagnie aérienne, raccordée à l'unité d'application de détection à distance. Au moyen du mode de réalisation de la présente invention, la reproductibilité d'imagerie spectrale peut être meilleure et la portée d'application de l'imagerie spectrale peut être étendue.
PCT/CN2017/072356 2017-01-24 2017-01-24 Système d'analyse et de traitement d'image WO2018137085A1 (fr)

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PCT/CN2017/072356 WO2018137085A1 (fr) 2017-01-24 2017-01-24 Système d'analyse et de traitement d'image

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113096048A (zh) * 2021-04-25 2021-07-09 华中师范大学 一种广义云驱动与几何协同遥感影像辐射校正方法及系统

Citations (6)

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US20100189363A1 (en) * 2009-01-27 2010-07-29 Harris Corporation Processing of remotely acquired imaging data including moving objects
CN101806622A (zh) * 2010-03-22 2010-08-18 中国科学院遥感应用研究所 一种地面成像光谱测量系统
CN102279393A (zh) * 2011-07-15 2011-12-14 北京航空航天大学 一种基于多光谱传感器对高光谱传感器交叉辐射定标方法
CN104156954A (zh) * 2014-08-01 2014-11-19 西安电子科技大学 适于多光谱图像压缩的配准预处理系统
CN104318550A (zh) * 2014-09-27 2015-01-28 励盼攀 八通道多光谱成像数据处理方法
CN106683095A (zh) * 2017-01-24 2017-05-17 深圳企管加企业服务有限公司 影像分析处理系统

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100189363A1 (en) * 2009-01-27 2010-07-29 Harris Corporation Processing of remotely acquired imaging data including moving objects
CN101806622A (zh) * 2010-03-22 2010-08-18 中国科学院遥感应用研究所 一种地面成像光谱测量系统
CN102279393A (zh) * 2011-07-15 2011-12-14 北京航空航天大学 一种基于多光谱传感器对高光谱传感器交叉辐射定标方法
CN104156954A (zh) * 2014-08-01 2014-11-19 西安电子科技大学 适于多光谱图像压缩的配准预处理系统
CN104318550A (zh) * 2014-09-27 2015-01-28 励盼攀 八通道多光谱成像数据处理方法
CN106683095A (zh) * 2017-01-24 2017-05-17 深圳企管加企业服务有限公司 影像分析处理系统

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113096048A (zh) * 2021-04-25 2021-07-09 华中师范大学 一种广义云驱动与几何协同遥感影像辐射校正方法及系统

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