CN108832986A - A kind of multi-source data control platform based on Incorporate - Google Patents

A kind of multi-source data control platform based on Incorporate Download PDF

Info

Publication number
CN108832986A
CN108832986A CN201810484713.8A CN201810484713A CN108832986A CN 108832986 A CN108832986 A CN 108832986A CN 201810484713 A CN201810484713 A CN 201810484713A CN 108832986 A CN108832986 A CN 108832986A
Authority
CN
China
Prior art keywords
data
unmanned plane
ground
module
remote sensing
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
CN201810484713.8A
Other languages
Chinese (zh)
Other versions
CN108832986B (en
Inventor
刘银阳
徐晓斌
薛飞
李晓伟
姚海鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing University of Technology
Original Assignee
Beijing University of Technology
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 Beijing University of Technology filed Critical Beijing University of Technology
Priority to CN201810484713.8A priority Critical patent/CN108832986B/en
Publication of CN108832986A publication Critical patent/CN108832986A/en
Application granted granted Critical
Publication of CN108832986B publication Critical patent/CN108832986B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/14Relay systems
    • H04B7/15Active relay systems
    • H04B7/185Space-based or airborne stations; Stations for satellite systems
    • H04B7/1851Systems using a satellite or space-based relay
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C15/00Surveying instruments or accessories not provided for in groups G01C1/00 - G01C13/00
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/14Relay systems
    • H04B7/15Active relay systems
    • H04B7/185Space-based or airborne stations; Stations for satellite systems
    • H04B7/18502Airborne stations
    • H04B7/18506Communications with or from aircraft, i.e. aeronautical mobile service
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/14Relay systems
    • H04B7/15Active relay systems
    • H04B7/185Space-based or airborne stations; Stations for satellite systems
    • H04B7/1851Systems using a satellite or space-based relay
    • H04B7/18519Operations control, administration or maintenance
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/06Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/16Implementation or adaptation of Internet protocol [IP], of transmission control protocol [TCP] or of user datagram protocol [UDP]
    • H04L69/161Implementation details of TCP/IP or UDP/IP stack architecture; Specification of modified or new header fields
    • H04L69/162Implementation details of TCP/IP or UDP/IP stack architecture; Specification of modified or new header fields involving adaptations of sockets based mechanisms

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Astronomy & Astrophysics (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Computer Security & Cryptography (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Processing Or Creating Images (AREA)
  • Image Processing (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

The present invention discloses a kind of multi-source data control platform based on Incorporate, including:Astro network, near-earth network manually explore module, multi-source data acquisition module, multisource data fusion module, detection task release module and display module, wherein, the control platform obtains the ground data of satellite remote sensing date, unmanned plane, the ground data of manned surveys;Include following service:Satellite remote sensing date is merged, city map is established;According to the corresponding mark of the ground data of unmanned plane and corresponding coordinate position on map;Ground data based on unmanned plane acquisition carries out automatic identification, and is compared with the same class ground data of manned surveys;It is excavated based on satellite remote sensing date, issues the short distance exploration task of designated position, including:The Auto-Sensing task that specified geographical coordinate is issued to unmanned plane, to the artificial detection task of mobile terminal publication specified coordinate.

Description

A kind of multi-source data control platform based on Incorporate
Technical field
The invention belongs to information network technique fields, more particularly to the acquisition of the multi-source data based on Incorporate and fusion Platform.
Background technique
Incorporate information network is scientific and technical innovation project, and the remotely-sensed data of satellite is the important composition portion of day base data Point.Each object is namely based on the principle in absorption, reflection and transmitting electromagnetic wave, remote sensing equipment all the time on the earth Acquire remotely-sensed data, information, image and image etc..Currently, airborne and spaceborne RS is (multisensor, multi-platform, more towards " more than three " Angle) and " four is high " (high spatial resolution, high spectral resolution, high radiometric resolution and high phase resolution ratio) direction develop. Since China's low altitude airspace is open, unmanned plane low latitude is taken photo by plane as a kind of emerging acquisition of space base data and perception means, is obtained Be more and more widely used, it is not only at low cost using unmanned plane, and can be realized it is quick, to base station send data in real time And information.
The Incorporate data volume acquired due to current satellite remote sensing and unmanned plane is huge, renewal speed is fast, how to close Reason utilizes these data, how effectively to merge these data, handle, to meet the need of all kinds of researchs and applied business It asks, is a major issue.Although currently there is the correlation technique of some image procossings and fusion, however, there is no a platforms It is capable of providing online service, for missing data, lacks the means actively obtained.
Summary of the invention
The technical problem to be solved by the present invention is to provide a kind of multi-source data control platform based on Incorporate, come Meets the needs of related service.
To achieve the above object, the present invention adopts the following technical scheme that:
A kind of multi-source data control platform based on Incorporate, which is characterized in that including:Astro network, near-earth net Network, multi-source data obtain module, multisource data fusion module, detection task release module and display module, wherein
The astro network, for acquiring satellite remote sensing date,
The near-earth network, for acquiring the ground data of unmanned plane;
The multi-source data obtains module, for obtaining the ground data of satellite remote sensing date, unmanned plane, manually surveying The ground data of spy;
Multisource data fusion module, for according to the ground data of satellite remote sensing date, unmanned plane and manually detecing The ground data of survey, classifies according to city, while the data of separate sources in the same period being merged, building city Figure, while the city map being issued to display module;
Detection task release module, the short distance for issuing designated position survey task, including:Refer to unmanned plane publication The Auto-Sensing task for determining geographical coordinate, to the artificial detection task of mobile terminal publication specified coordinate.
Preferably, the astro network includes:Remote sensing telecommunication satellite, for obtaining satellite remote sensing date, the satellite Remotely-sensed data obtains preset range geography information in city towards entire city;The satellite remote sensing date is Landsat remote sensing Satellite data, the satellite data of Chinese Academy of Sciences's geographical spatial data cloud, the satellite data of Google earth platform, Digital The satellite data of Global platform is one of.
Preferably, the near-earth network includes unmanned plane, the unmanned plane is used for towards within the scope of the preset coordinates of ground Atural object, obtain ground picture or video;The management platform is based on socket and constructs server, loads NB-IOT in unmanned plane Communication module, the access-in management platform in the form of socket client, and data are uploaded, the upload data include:Timestamp, bat Take the photograph position elevation coordinate information, ground picture or video.
Preferably, the ground data manually explored is the ground picture or video of artificial close-up photography on the spot;It is logical Cross and move end equipment, in the form of socket client, by the picture of mobile phone current geographic coordinate setting information and acquisition or Video is sent to the management platform.
Preferably, building city map is specifically divided into:Unmanned plane mark and artificial detecting picture recognition;Wherein, Unmanned plane marks:Multisource data fusion module is according to the ground picture or video of unmanned plane, firstly, being based on Subsidiary geographic coordinate information in information tentatively delimit scope of investigation according to coordinate shift range;Then, to ground picture or view Frequency extracts terrestrial object information, establishes schematic diagram of taking photo by plane;Finally, the schematic diagram that will take photo by plane compares with the city schematic diagram in the range of preliminary delimit It is right, precise positioning is obtained, and be labeled on map, and upload collected NB-IOT real time information;
Manually detecting picture recognition is specially:The ground number that multisource data fusion module is sent to according to mobile end equipment According to, firstly, based on being corrected according to geographical coordinate, determine detecting object it is accurate based on detecting radius, and find ratio To the schematic diagram of taking photo by plane within the scope of this;Then, classification of type is carried out according to detecting object features;Finally, in corresponding schematic diagram of taking photo by plane All target objects of middle search same type, and feature is compared, determine the Accurate classification of detecting object.
Preferably, the unmanned plane Auto-Sensing task is:Detection task release module is to specified unmanned plane or a group of planes Detection task is issued, it includes designated place geographical position coordinates information, cruising altitude, cruising radius, filming frequency, shootings time Number;After unmanned plane receives detecting message, designated place of flying to automatically determines unmanned plane cruise position according to cruising altitude and radius It sets, and shoots photo according to specified filming frequency and number;Display module is sent data to simultaneously.
Preferably, manned surveys' task is:Detection task release module is sent to mobile end equipment designated user It detects place and detecting target information will be on the ground picture or video capture of acquisition after the user completes exploration task Pass to display module.
Preferably, the platform is the big data fusion built based on hadoop and management platform.
Multi-source data control platform of the invention, including:Astro network, manually explores module, multi-source data at near-earth network Obtain module, multisource data fusion module, detection task release module and display module, wherein the control platform obtains Satellite remote sensing date, the ground data of unmanned plane, the ground data of manned surveys;Include following service:To satellite remote sensing Data are merged, and city map is established;According to the ground data of unmanned plane on map corresponding coordinate position it is corresponding Mark;Ground data based on unmanned plane acquisition carries out automatic identification, and compares with the same class ground data of manned surveys It is right;It is excavated based on satellite remote sensing date, issues the short distance exploration task of designated position, including:Refer to unmanned plane publication The Auto-Sensing task for determining geographical coordinate, to the artificial detection task of mobile terminal publication specified coordinate.
Detailed description of the invention
Fig. 1 is that the present invention is based on the structural schematic diagrams of the multi-source data control platform of Incorporate.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and detailed description.
The present invention provides a kind of multi-source data control platform based on Incorporate, obtains day base data, near-earth data And the ground data manually explored, the day base data are the satellite remote sensing date that satellite obtains, the near-earth data are nothing The man-machine ground data taken photo by plane;Following functions are provided:
1, satellite remote sensing date is merged, establishes city map;
2, according to the corresponding mark of the ground data of unmanned plane and corresponding coordinate position on map;It is adopted based on unmanned plane The ground data of collection carries out automatic identification, and is compared with the same class ground data of manned surveys;
3, it is excavated based on satellite remote sensing date, issues the short distance exploration task of designated position, including:To unmanned plane The Auto-Sensing task for issuing specified geographical coordinate is appointed to the artificial detecting of mobile terminal (e.g., cell phone application) publication specified coordinate Business.
As shown in Figure 1, the present invention provides a kind of multi-source data control platform based on Incorporate, the platform is base In the hadoop big data fusion built and management platform, including:Astro network, near-earth network, multi-source data obtain module, more Source data Fusion Module, detection task release module and display module, wherein
The astro network includes:Remote sensing telecommunication satellite, for obtaining satellite remote sensing date, the satellite remote sensing date face To entire city, larger range geography information in city is obtained;The satellite remote sensing date be Landsat remote sensing satellite data, The satellite data of Chinese Academy of Sciences's geographical spatial data cloud, the satellite data of Google earth platform, Digital Global platform Satellite data it is one of.The control platform obtains the above satellite data automatically and carries out automatic classification storage.
The near-earth network includes unmanned plane, and the unmanned plane is used to obtain towards the atural object in the certain coordinate range in ground To ground picture or video.The management platform is based on socket and constructs server, loads NB-IOT in unmanned plane and communicates mould Block, the access-in management platform in the form of socket client, and data are uploaded, the upload data include:Timestamp, shooting status Set elevation coordinate information, ground picture or video.
The multi-source data obtains module, for obtaining the ground data of satellite remote sensing date, unmanned plane, manually surveying The ground data of survey;The ground data of the manned surveys is the data of the artificial acquisition of low coverage on the spot, such as:The ground picture of shooting Or video, face some certain objects, such as building, the water surface, greenery patches.By moving end equipment (e.g., cell phone application), with The picture or video of mobile phone current geographic coordinate setting information and acquisition are sent to the pipe by the form of socket client Platform.
Multisource data fusion module, for according to the ground data of satellite remote sensing date, unmanned plane and manually surveying The ground data of spy, classifies according to city, while the data of separate sources in the same period being merged, building city Figure, while the city map being issued to display module.
Building city map is specifically divided into:Unmanned plane mark and artificial detecting picture recognition.
Unmanned plane marks:
Multisource data fusion module is according to the ground picture or video of unmanned plane, firstly, based on subsidiary in information Geographic coordinate information tentatively delimit scope of investigation according to coordinate shift range;Then, ground picture or video extraction atural object are believed Breath, such as:Building, road, vegetation information establish schematic diagram of taking photo by plane;Finally, by the city in the range of take photo by plane schematic diagram and preliminary delimitation Schematic diagram is compared, and obtains precise positioning, and be labeled on map, and uploads collected NB-IOT real time information.
Manually detecting picture recognition is specially:
The ground data that multisource data fusion module is sent to according to mobile end equipment, firstly, based on according to geographical coordinate Be corrected, determine detecting object it is accurate based on detecting radius, and find compare this within the scope of schematic diagram of taking photo by plane;So Afterwards, classification of type is carried out according to detecting object features, such as:Building, road, the water surface, greenery patches;Finally, in corresponding schematic diagram of taking photo by plane All target objects of middle search same type, and feature is compared, determine the Accurate classification of detecting object.
Carry out aid in treatment in the following ways simultaneously:(1), abnormal data is identified and abandons, (2), separate sources data When conflict, most source identical datas of being subject to are chosen, and (3) abandon redundant information, only retain the information of needs such as:Street Road, building, river, the water surface, vegetation.
Detection task release module, for issuing unmanned plane Auto-Sensing task and artificial detection task;
Unmanned plane Auto-Sensing task is:Detection task release module issues detection task to specified unmanned plane or a group of planes, It includes designated place geographical position coordinates information, cruising altitude, cruising radius, filming frequency, shooting numbers;Unmanned plane receives After detecting message, designated place of flying to automatically determines unmanned plane cruise flight position according to cruising altitude and radius, and according to specified bat Take the photograph frequency and number shooting photo;Display module is sent data to simultaneously.
Manned surveys' task:Detection task release module sends detecting to mobile end equipment (e.g., cell phone application) designated user Place and detecting target information upload to the ground picture or video capture of acquisition after the user completes exploration task Display module.

Claims (8)

1. a kind of multi-source data control platform based on Incorporate, which is characterized in that including:Astro network, near-earth network, Multi-source data obtains module, multisource data fusion module, detection task release module and display module, wherein
The astro network, for acquiring satellite remote sensing date,
The near-earth network, for acquiring the ground data of unmanned plane;
The multi-source data obtains module, for obtaining the ground data of satellite remote sensing date, unmanned plane, manually exploring Ground data;
Multisource data fusion module, for what is according to the ground data of satellite remote sensing date, unmanned plane and manually detected Ground data is classified according to city, while the data of separate sources in the same period being merged, and constructs city map, The city map is issued to display module simultaneously;
Detection task release module, the short distance for issuing designated position survey task, including:Specified ground is issued to unmanned plane The Auto-Sensing task for managing coordinate, to the artificial detection task of mobile terminal publication specified coordinate.
2. the multi-source data control platform based on Incorporate as described in claim 1, which is characterized in that the space-based network Network includes:Remote sensing telecommunication satellite, for obtaining satellite remote sensing date, the satellite remote sensing date obtains city towards entire city City preset range geography information;The satellite remote sensing date is Landsat remote sensing satellite data, Chinese Academy of Sciences's geographical spatial data The satellite data of cloud, the satellite data of Google earth platform, the satellite data of Digital Global platform are one of.
3. the multi-source data control platform based on Incorporate as claimed in claim 2, which is characterized in that the near-earth net Network includes unmanned plane, and the unmanned plane is used to obtain ground picture or video towards the atural object within the scope of the preset coordinates of ground;Institute It states management platform and is based on socket building server, NB-IOT communication module is loaded in unmanned plane, in the form of socket client Access-in management platform, and data are uploaded, the upload data include:Timestamp, shooting position elevation coordinate information, surface map Piece or video.
4. the multi-source data control platform based on Incorporate as claimed in claim 3, which is characterized in that described manually to survey The ground data of spy is the ground picture or video of artificial close-up photography on the spot;By mobile end equipment, with socket client Form, the picture or video of mobile phone current geographic coordinate setting information and acquisition are sent to the management platform.
5. the multi-source data control platform based on Incorporate as claimed in claim 4, which is characterized in that building city Figure is specifically divided into:Unmanned plane mark and artificial detecting picture recognition;Wherein, unmanned plane mark is specially:Multi-source number According to Fusion Module according to the ground picture or video of unmanned plane, firstly, based on geographic coordinate information subsidiary in information, root Scope of investigation tentatively delimited according to coordinate shift range;Then, to ground picture or video extraction terrestrial object information, letter of taking photo by plane is established Figure;Finally, the schematic diagram that will take photo by plane is compared with the city schematic diagram in the range of preliminary delimit, precise positioning is obtained, and in map On be labeled, and upload collected NB-IOT real time information;
Manually detecting picture recognition is specially:The ground data that multisource data fusion module is sent to according to mobile end equipment, it is first First, based on being corrected according to geographical coordinate, determine detecting object it is accurate based on detecting radius, and find and compare the model Enclose interior schematic diagram of taking photo by plane;Then, classification of type is carried out according to detecting object features;Finally, being searched in corresponding schematic diagram of taking photo by plane All target objects of same type, and feature is compared, determine the Accurate classification of detecting object.
6. the multi-source data control platform based on Incorporate as claimed in claim 5, which is characterized in that the unmanned plane Auto-Sensing task is:Detection task release module issues detection task to specified unmanned plane or a group of planes, and it includes designated places Geographical position coordinates information, cruising altitude, cruising radius, filming frequency, shooting number;After unmanned plane receives detecting message, from Dynamic designated place of flying to, determines unmanned plane cruise flight position according to cruising altitude and radius, and according to specified filming frequency and number Photo is shot, while sending data to display module.
7. the multi-source data control platform based on Incorporate as claimed in claim 5, which is characterized in that described manually to survey Survey task is:Detection task release module sends detecting place and detecting target information to mobile end equipment designated user, to institute After stating user's completion exploration task, the ground picture or video capture of acquisition are uploaded into display module.
8. the multi-source data control platform based on Incorporate as described in claim 1, which is characterized in that the platform is Based on the hadoop big data fusion built and management platform.
CN201810484713.8A 2018-05-20 2018-05-20 Multisource data management and control platform based on world integration Active CN108832986B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810484713.8A CN108832986B (en) 2018-05-20 2018-05-20 Multisource data management and control platform based on world integration

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810484713.8A CN108832986B (en) 2018-05-20 2018-05-20 Multisource data management and control platform based on world integration

Publications (2)

Publication Number Publication Date
CN108832986A true CN108832986A (en) 2018-11-16
CN108832986B CN108832986B (en) 2021-03-16

Family

ID=64147235

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810484713.8A Active CN108832986B (en) 2018-05-20 2018-05-20 Multisource data management and control platform based on world integration

Country Status (1)

Country Link
CN (1) CN108832986B (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109781070A (en) * 2019-01-25 2019-05-21 杨永超 A kind of mapping new method of topographic map
CN111507394A (en) * 2020-04-15 2020-08-07 中国科学院福建物质结构研究所 Multi-domain spatial data fusion method and fusion device
WO2020181418A1 (en) * 2019-03-08 2020-09-17 SZ DJI Technology Co., Ltd. Techniques for collaborative map construction between unmanned aerial vehicle and ground vehicle
CN111780797A (en) * 2020-05-28 2020-10-16 中国人民解放军军事科学院国防科技创新研究院 Simulation test device and method for space-air cooperative remote sensing system
CN111783556A (en) * 2020-06-11 2020-10-16 中国人民解放军军事科学院国防科技创新研究院 Multi-domain multi-source remote sensing information fusion system and method
CN111881976A (en) * 2020-07-27 2020-11-03 盐城郅联空间科技有限公司 Multi-source image automatic interpretation method integrating artificial intelligence technology and big data
CN112146634A (en) * 2020-10-29 2020-12-29 安徽璞石生态建设有限公司 Mapping method based on municipal engineering
CN112769779A (en) * 2020-12-28 2021-05-07 深圳壹账通智能科技有限公司 Media resource transmission method and device
CN115827938A (en) * 2023-02-20 2023-03-21 四川省煤田测绘工程院 Method for acquiring homeland space planning data, electronic device and computer readable medium
CN116132486A (en) * 2023-04-13 2023-05-16 山东慧创信息科技有限公司 Sky-ground integrated data acquisition system based on high precision of Internet of things
US11721225B2 (en) 2019-03-08 2023-08-08 SZ DJI Technology Co., Ltd. Techniques for sharing mapping data between an unmanned aerial vehicle and a ground vehicle

Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100269143A1 (en) * 2009-04-21 2010-10-21 Irving Rabowsky System and Method for Satellite Enhanced Command, Control, and Surveillance Services Between Network Management Centers and Unmanned Land and Aerial Devices
CN102591351A (en) * 2011-01-14 2012-07-18 北京航天慧海系统仿真科技有限公司 Three-dimensional space carbon emission monitoring system based on remote sensing, satellite positioning navigation and unmanned aerial vehicle
CN103366555A (en) * 2013-07-01 2013-10-23 中国人民解放军第三军医大学第三附属医院 Aerial image-based traffic accident scene image rapid generation method and system
WO2014002018A1 (en) * 2012-06-26 2014-01-03 Ariel-University Research And Development Company, Ltd. Methods and devices for improved position determination
CN104021586A (en) * 2014-05-05 2014-09-03 深圳市城市管理监督指挥中心 Air-ground integrated city ecological civilization managing system and method based on Beidou positioning
CN104951801A (en) * 2015-06-17 2015-09-30 深圳市金刚蚁机器人技术有限公司 Photo management method and system
CN204895881U (en) * 2015-05-22 2015-12-23 刘道满 Unmanned aerial vehicle system with thermal imaging system
CN105512684A (en) * 2015-12-09 2016-04-20 江苏大为科技股份有限公司 Vehicle logo automatic identification method based on principal component analysis convolutional neural network
CN105550824A (en) * 2016-01-13 2016-05-04 天津中科智能识别产业技术研究院有限公司 Intelligent disaster situation evaluation system
CN105606073A (en) * 2016-01-11 2016-05-25 谭圆圆 Unmanned aerial vehicle processing system and flight state data processing method thereof
US20160171278A1 (en) * 2014-12-10 2016-06-16 Here Global B.V. Method and apparatus for providing one or more road conditions based on aerial imagery
CN105872413A (en) * 2016-05-31 2016-08-17 成都德善能科技有限公司 Intelligent aerial photographing system
EP3121975A1 (en) * 2015-07-20 2017-01-25 The Boeing Company Novel fdma/tdma architecture using channelizer and matrix power amplifier
CN106850666A (en) * 2017-03-02 2017-06-13 水禾测绘信息技术有限公司 The shared cloud platform of Forestry Information and monitoring operation system
CN106981017A (en) * 2017-04-01 2017-07-25 智码迅付信息科技有限公司 A kind of big data precision marketing device and marketing method based on face recognition technology
CN107169018A (en) * 2017-04-06 2017-09-15 河南云保遥感科技有限公司 A kind of agricultural insurance is surveyed, loss assessment system and its implementation
CN107749957A (en) * 2017-11-07 2018-03-02 高域(北京)智能科技研究院有限公司 Unmanned plane image display system and method
CN107784633A (en) * 2017-09-04 2018-03-09 黄仁杰 Suitable for the unmanned plane image calibrating method of plane survey

Patent Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100269143A1 (en) * 2009-04-21 2010-10-21 Irving Rabowsky System and Method for Satellite Enhanced Command, Control, and Surveillance Services Between Network Management Centers and Unmanned Land and Aerial Devices
CN102591351A (en) * 2011-01-14 2012-07-18 北京航天慧海系统仿真科技有限公司 Three-dimensional space carbon emission monitoring system based on remote sensing, satellite positioning navigation and unmanned aerial vehicle
WO2014002018A1 (en) * 2012-06-26 2014-01-03 Ariel-University Research And Development Company, Ltd. Methods and devices for improved position determination
CN103366555A (en) * 2013-07-01 2013-10-23 中国人民解放军第三军医大学第三附属医院 Aerial image-based traffic accident scene image rapid generation method and system
CN104021586A (en) * 2014-05-05 2014-09-03 深圳市城市管理监督指挥中心 Air-ground integrated city ecological civilization managing system and method based on Beidou positioning
US20160171278A1 (en) * 2014-12-10 2016-06-16 Here Global B.V. Method and apparatus for providing one or more road conditions based on aerial imagery
CN204895881U (en) * 2015-05-22 2015-12-23 刘道满 Unmanned aerial vehicle system with thermal imaging system
CN104951801A (en) * 2015-06-17 2015-09-30 深圳市金刚蚁机器人技术有限公司 Photo management method and system
EP3121975A1 (en) * 2015-07-20 2017-01-25 The Boeing Company Novel fdma/tdma architecture using channelizer and matrix power amplifier
CN105512684A (en) * 2015-12-09 2016-04-20 江苏大为科技股份有限公司 Vehicle logo automatic identification method based on principal component analysis convolutional neural network
CN105606073A (en) * 2016-01-11 2016-05-25 谭圆圆 Unmanned aerial vehicle processing system and flight state data processing method thereof
CN105550824A (en) * 2016-01-13 2016-05-04 天津中科智能识别产业技术研究院有限公司 Intelligent disaster situation evaluation system
CN105872413A (en) * 2016-05-31 2016-08-17 成都德善能科技有限公司 Intelligent aerial photographing system
CN106850666A (en) * 2017-03-02 2017-06-13 水禾测绘信息技术有限公司 The shared cloud platform of Forestry Information and monitoring operation system
CN106981017A (en) * 2017-04-01 2017-07-25 智码迅付信息科技有限公司 A kind of big data precision marketing device and marketing method based on face recognition technology
CN107169018A (en) * 2017-04-06 2017-09-15 河南云保遥感科技有限公司 A kind of agricultural insurance is surveyed, loss assessment system and its implementation
CN107784633A (en) * 2017-09-04 2018-03-09 黄仁杰 Suitable for the unmanned plane image calibrating method of plane survey
CN107749957A (en) * 2017-11-07 2018-03-02 高域(北京)智能科技研究院有限公司 Unmanned plane image display system and method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
杨杨: "无人机航拍视频图像实时拼接软件系统的设计与开发", 《中国优秀硕士学位论文全文数据库》 *
赵搏欣: "无人机低成本微小型自主定位系统技术研究", 《中国博士学位论文全文数据库》 *
陈姣: "无人机航摄系统测绘大比例尺地形图应用研究", 《中国优秀硕士学位论文全文数据库》 *

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109781070A (en) * 2019-01-25 2019-05-21 杨永超 A kind of mapping new method of topographic map
US11709073B2 (en) 2019-03-08 2023-07-25 SZ DJI Technology Co., Ltd. Techniques for collaborative map construction between an unmanned aerial vehicle and a ground vehicle
WO2020181418A1 (en) * 2019-03-08 2020-09-17 SZ DJI Technology Co., Ltd. Techniques for collaborative map construction between unmanned aerial vehicle and ground vehicle
US11721225B2 (en) 2019-03-08 2023-08-08 SZ DJI Technology Co., Ltd. Techniques for sharing mapping data between an unmanned aerial vehicle and a ground vehicle
CN111507394A (en) * 2020-04-15 2020-08-07 中国科学院福建物质结构研究所 Multi-domain spatial data fusion method and fusion device
WO2021208150A1 (en) * 2020-04-15 2021-10-21 中国科学院福建物质结构研究所 Multi-domain spatial data fusion method and fusion device
CN111780797A (en) * 2020-05-28 2020-10-16 中国人民解放军军事科学院国防科技创新研究院 Simulation test device and method for space-air cooperative remote sensing system
CN111783556A (en) * 2020-06-11 2020-10-16 中国人民解放军军事科学院国防科技创新研究院 Multi-domain multi-source remote sensing information fusion system and method
CN111881976A (en) * 2020-07-27 2020-11-03 盐城郅联空间科技有限公司 Multi-source image automatic interpretation method integrating artificial intelligence technology and big data
CN112146634A (en) * 2020-10-29 2020-12-29 安徽璞石生态建设有限公司 Mapping method based on municipal engineering
CN112146634B (en) * 2020-10-29 2022-08-16 安徽璞石生态建设有限公司 Mapping method based on municipal engineering
CN112769779A (en) * 2020-12-28 2021-05-07 深圳壹账通智能科技有限公司 Media resource transmission method and device
CN115827938A (en) * 2023-02-20 2023-03-21 四川省煤田测绘工程院 Method for acquiring homeland space planning data, electronic device and computer readable medium
CN116132486A (en) * 2023-04-13 2023-05-16 山东慧创信息科技有限公司 Sky-ground integrated data acquisition system based on high precision of Internet of things

Also Published As

Publication number Publication date
CN108832986B (en) 2021-03-16

Similar Documents

Publication Publication Date Title
CN108832986A (en) A kind of multi-source data control platform based on Incorporate
CN107504957B (en) Method for rapidly constructing three-dimensional terrain model by using unmanned aerial vehicle multi-view camera shooting
KR101793509B1 (en) Remote observation method and system by calculating automatic route of unmanned aerial vehicle for monitoring crops
James et al. Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application
Dandois et al. High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision
CN114518104B (en) Method, system and storage medium for surveying and mapping territory based on dynamic remote sensing monitoring technology
Yu et al. Modeling of landslide topography based on micro-unmanned aerial vehicle photography and structure-from-motion
CN102072725B (en) Spatial three-dimension (3D) measurement method based on laser point cloud and digital measurable images
CN106403904B (en) A kind of calculation method and system of the landscape scale vegetation coverage based on unmanned plane
Grenzdörffer et al. Photogrammetric image acquisition and image analysis of oblique imagery
Nocerino et al. Multi-temporal analysis of landscapes and urban areas
Raczynski Accuracy analysis of products obtained from UAV-borne photogrammetry influenced by various flight parameters
CN109883398A (en) The system and method that the green amount of plant based on unmanned plane oblique photograph is extracted
Fuad et al. Accuracy evaluation of digital terrain model based on different flying altitudes and conditional of terrain using UAV LiDAR technology
CN110472327B (en) Urban multi-layer temperature and humidity sensing space-time system design method
Yijing et al. Construction and analysis of 3D scene model of landscape space based on UAV oblique photography and 3D laser scanner
Liu et al. High-spatial-resolution nighttime light dataset acquisition based on volunteered passenger aircraft remote sensing
JP2020180842A (en) Processing method of infrared photographic image, processing device of infrared photographic image, and program for processing infrared photographic image
Pandjaitan et al. Efficient mapping for fodder cultivation with commercial small drone
CN113687398A (en) Unmanned aerial vehicle tracking and aiming communication system and method based on Beidou differential positioning
Egi et al. An efficient architecture for modeling path loss on forest canopy using LiDAR and wireless sensor networks fusion
Shen et al. Feature extraction from vehicle-borne laser scanning data
TWI819569B (en) A zero-time huge aerial photo shooting device based on drone swarm flight
Singh et al. Quality Assessment of UAV Data using Multiple RTK Reference Stations
Peterson et al. The added value of geostationary lightning mapper data for ground‐based lightning applications

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant