CN110649959A - Passive uplink data transmission method based on remote sensing image - Google Patents
Passive uplink data transmission method based on remote sensing image Download PDFInfo
- Publication number
- CN110649959A CN110649959A CN201910930344.5A CN201910930344A CN110649959A CN 110649959 A CN110649959 A CN 110649959A CN 201910930344 A CN201910930344 A CN 201910930344A CN 110649959 A CN110649959 A CN 110649959A
- Authority
- CN
- China
- Prior art keywords
- remote sensing
- data
- method based
- transmission method
- data transmission
- 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.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
- H04B7/18513—Transmission in a satellite or space-based system
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
- H04B7/18519—Operations control, administration or maintenance
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Astronomy & Astrophysics (AREA)
- Aviation & Aerospace Engineering (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
Abstract
The invention provides a passive uplink data transmission method based on a remote sensing image, which comprises the following steps: s1, constructing a ground pattern data set; s2, remote sensing imaging to the ground and extracting key lines; and S3, refining the texture data containing the data information, and extracting and analyzing. The invention has the beneficial effects that: data are transmitted to the in-orbit satellite in a remote sensing imaging and image recognition mode, passive uplink data transmission of remote sensing images is achieved, infrastructure construction and power fuel guarantee are not needed on the ground, cost is low, compared with traditional microwave and light transmission, the method has very strong confidentiality, and is particularly suitable for information transmission under electromagnetic silence, emergency and other conditions.
Description
Technical Field
The invention relates to the field of satellite communication and remote measurement and control, in particular to a passive uplink data transmission method based on remote sensing images.
Background
At present, satellite-to-ground communication of satellites in the aerospace field needs to establish a communication link by matching ground stations (such as gateway stations, measurement and control stations and the like) with satellites, uplink data is transmitted in a radio communication mode, and in recent years, the application of a satellite-to-ground optical communication technology in satellite-to-ground communication is appeared. However, both radio communication and optical communication require a certain power supply capability of the ground station, and perform infrastructure construction and long-term maintenance, which increases the cost of the ground station and limits the deployment location of the ground station.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a passive uplink data transmission method based on a remote sensing image.
The invention provides a passive uplink data transmission method based on a remote sensing image, which comprises the following steps:
s1, constructing a ground pattern data set;
s2, remote sensing imaging to the ground and extracting key lines;
and S3, refining the texture data containing the data information, and extracting and analyzing.
As a further improvement of the present invention, in step S1, a ground pattern is constructed at a specified longitude and latitude position, and identification and data expression are performed by referring to the arrangement rule of the two-dimensional code and the barcode by the layout of an object that can be identified by a remote sensing load such as light, color, corner reflector, and the like.
As a further improvement of the invention, in step S2, when the satellite passes through the appointed place, the remote sensing image of the ground is imaged, and the direction estimation and the boundary detection are completed to ensure the usability of the remote sensing image.
As a further improvement of the invention, the boundary detection is interpreted by depending on the characteristic points of the ground pattern, if the boundary detection does not accord with the rule, the remote sensing imaging is carried out on the ground again, and if the boundary detection accords with the rule, the effective area is obtained.
As a further improvement of the invention, if the direction estimation does not accord with the rule, remote sensing imaging is carried out again on the ground, and if the direction estimation accords with the rule, a direction field is obtained.
As a further development of the invention, the data type is identified on the basis of the direction field and the active area.
As a further improvement of the present invention, in step S1, the ground pattern data set is labeled in advance to generate one-to-one corresponding markers, and the on-board load is trained to ensure fast recognition of the features of the data types.
As a further improvement of the present invention, in step S3, after the data type feature identification is successful, the remote sensing load refines and extracts other positions of the image data, and analyzes the refined positions into a binary code stream, and forms a data packet and sends the data packet to the satellite-borne computer or various satellite-borne processors.
As a further improvement of the present invention, in step S3, the texture data containing the data information is refined, the feature points are extracted, if the feature points are not qualified, the refinement is performed again, if the feature points are qualified, the data analysis is performed, the data analysis is completed, and the data analysis is sent to the spaceborne computer or various spaceborne processors according to the data type.
The invention has the beneficial effects that: through the scheme, data are transmitted to the in-orbit satellite in a remote sensing imaging and image recognition mode, passive uplink data transmission of the remote sensing image is achieved, ground does not need to invest infrastructure construction, power fuel guarantee is not needed, cost is low, compared with traditional microwave and light transmission, the method and the device have very strong confidentiality, and the method and the device are particularly suitable for information transmission under the electromagnetic silence condition.
Drawings
FIG. 1 is a flow chart of a passive uplink data transmission method based on remote sensing images.
Detailed Description
The invention is further described with reference to the following description and embodiments in conjunction with the accompanying drawings.
As shown in fig. 1, a passive uplink data transmission method based on remote sensing images includes the following steps:
s1, constructing a ground pattern data set;
the construction of ground patterns is carried out at the specified longitude and latitude positions, and identification and data expression are carried out by referring to the arrangement rules of two-dimensional codes, bar codes and the like through object layouts which can be identified by remote sensing loads such as light, colors, corner reflectors and the like.
S2, remote sensing imaging to the ground and extracting key lines;
when the satellite passes through an appointed place, ground remote sensing imaging is completed through autonomous program control, direction estimation and boundary detection are completed, and usability of a remote sensing image is guaranteed. The boundary scanning is interpreted by depending on the characteristic points of the ground pattern, and if the boundary scanning does not accord with the rules, a re-imaging instruction is sent out. Until the extraction is successful, error codes occurring in data analysis are avoided, so that on-satellite misoperation is caused, and the reliability of data identification is ensured;
the ground pattern data set is marked in advance to generate one-to-one corresponding marks, the load on the satellite is trained, and the characteristic of quickly identifying the data type is guaranteed.
And S3, refining the texture data containing the data information, and extracting and analyzing.
After the data type features are identified successfully, the remote sensing load carries out thinning extraction on other positions of the image data, the image data are analyzed into binary code streams, data packets are formed and sent to the satellite-borne computer or various satellite-borne processors.
The passive uplink data transmission method based on the remote sensing image can effectively solve the problem that a test system needs to be built again in a traditional device level test, and can save a large amount of manpower and material resources aiming at the condition that most devices of the whole circuit board have no total dose resisting index. Compared with the traditional microwave and optical transmission, the method has very strong confidentiality and is particularly suitable for information transmission under the electromagnetic silence condition. The data transmission in the mode can be carried out without infrastructure construction and power fuel guarantee on the ground and by arranging objects which can be identified by remote sensing loads such as light, color and corner reflectors and adjusting related physical characteristics according to appointed positions.
The invention provides a passive uplink data transmission method based on a remote sensing image, which has the following technical effects:
firstly, data are transmitted to an orbit satellite in a remote sensing imaging and image recognition mode, and the method comprises optical remote sensing, microwave remote sensing and the like.
Secondly, the imaging object is a pattern formed in an airspace on the ground or close to the ground and has a specific texture so as to quickly identify the information type and prevent misjudgment.
Thirdly, the transmitted content is a binary data stream with a certain volume, and information such as remote control commands, various upper note data and the like can be formed.
Fourthly, the pattern texture with certain contrast can be realized by means of light, color, corner reflectors and the like which can be identified by remote sensing load (optical or microwave remote sensing), and the method is suitable for various scenes.
And fifthly, the device is suitable for a sub-orbital vehicle and a low-orbit satellite, and corresponding imaging load equipment and an image recognition module are loaded on the device.
And sixthly, the image recognition module integrates a characteristic value data extraction algorithm, so that the characteristic texture can be directly extracted when the remote sensing picture is obtained, and the elimination of the noise texture and the interpretation of the data type are realized.
Seventh, compared with the traditional microwave and optical transmission, the method has very strong confidentiality and is particularly suitable for information transmission under the electromagnetic silence condition.
Eighth, the data transmission of the above mode can be carried out only by placing articles and adjusting related physical characteristics according to appointed positions without investing infrastructure construction and power fuel guarantee.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (9)
1. A passive uplink data transmission method based on remote sensing images is characterized by comprising the following steps:
s1, constructing a ground pattern data set;
s2, remote sensing imaging to the ground and extracting key lines;
and S3, refining the texture data containing the data information, and extracting and analyzing.
2. The passive uplink data transmission method based on remote sensing images according to claim 1, characterized in that: in step S1, a ground pattern is constructed at a specified longitude and latitude position, and identification and data expression are performed by referring to the arrangement rule of the two-dimensional code and the barcode by the layout of the object that can be identified by the remote sensing load.
3. The passive uplink data transmission method based on remote sensing images according to claim 1, characterized in that: in step S2, when the satellite passes through the appointed place, the remote sensing image is imaged to the ground, and the direction estimation and the boundary detection are completed to ensure the usability of the remote sensing image.
4. The passive uplink data transmission method based on remote sensing images according to claim 3, characterized in that: and the boundary detection is interpreted by depending on the characteristic points of the ground pattern, if the boundary detection does not accord with the rule, the remote sensing imaging is carried out on the ground again, and if the boundary detection accords with the rule, the effective area is obtained.
5. The passive uplink data transmission method based on remote sensing images according to claim 4, characterized in that: and if the direction estimation does not accord with the rule, remote sensing imaging is carried out again on the ground, and if the direction estimation accords with the rule, a direction field is obtained.
6. The passive uplink data transmission method based on remote sensing images according to claim 5, characterized in that: the data type is identified based on the direction field and the effective area.
7. The passive uplink data transmission method based on remote sensing images according to claim 6, characterized in that: in step S1, the ground pattern dataset is labeled in advance to generate one-to-one corresponding markers, and the on-satellite load is trained to ensure rapid recognition of the features of the data type.
8. The passive uplink data transmission method based on remote sensing images according to claim 6, characterized in that: in step S3, after the data type feature identification is successful, the remote sensing load refines and extracts other positions of the image data, analyzes the refined and extracted positions into a binary code stream, forms a data packet, and sends the data packet to the satellite borne computer or the satellite borne processor.
9. The passive uplink data transmission method based on remote sensing images according to claim 8, characterized in that: in step S3, the texture data containing the data information is refined, the feature points are extracted, if the feature points are not qualified, the refinement is performed again, if the feature points are qualified, the data analysis is performed, the data analysis is completed, and the data is sent to the satellite borne computer or the satellite borne processor according to the data type.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910930344.5A CN110649959A (en) | 2019-09-29 | 2019-09-29 | Passive uplink data transmission method based on remote sensing image |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910930344.5A CN110649959A (en) | 2019-09-29 | 2019-09-29 | Passive uplink data transmission method based on remote sensing image |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110649959A true CN110649959A (en) | 2020-01-03 |
Family
ID=69011963
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910930344.5A Pending CN110649959A (en) | 2019-09-29 | 2019-09-29 | Passive uplink data transmission method based on remote sensing image |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110649959A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030052175A1 (en) * | 1999-06-07 | 2003-03-20 | Tsikos Constantine J. | Method of and system for automatically producing digital images of moving objects, with pixels having a substantially uniform white level independent of the velocities of the moving objects |
| CN202995803U (en) * | 2012-08-07 | 2013-06-12 | 重庆春涵科技发展有限公司 | Product identification system based on internet of things |
| CN103884335A (en) * | 2014-04-09 | 2014-06-25 | 北京数联空间科技股份有限公司 | Remote sensing and photographic measurement positioning method based on two-dimension code geographic information sign |
| CN105182315A (en) * | 2015-07-14 | 2015-12-23 | 中国科学院电子学研究所 | Method for obtaining remote sensing image ground resolution of large swing angle optical remote sensing satellite |
| CN105376538A (en) * | 2015-12-08 | 2016-03-02 | 湖南纳雷科技有限公司 | Radar and video fused large-scale monitoring system and method |
| US20170217589A1 (en) * | 2016-01-28 | 2017-08-03 | Panasonic Intellectual Property Corporation Of America | Device that controls flight altitude of unmanned aerial vehicle |
| CN108121332A (en) * | 2016-11-28 | 2018-06-05 | 沈阳新松机器人自动化股份有限公司 | Indoor mobile robot positioner and method based on Quick Response Code |
| CN109484673A (en) * | 2018-12-24 | 2019-03-19 | 深圳航天东方红海特卫星有限公司 | A kind of payload platform separate type remote sensing micro satellite configuration and its assembly method |
| CN110008771A (en) * | 2019-03-15 | 2019-07-12 | 阿里巴巴集团控股有限公司 | A kind of scan code system and barcode scanning method |
-
2019
- 2019-09-29 CN CN201910930344.5A patent/CN110649959A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030052175A1 (en) * | 1999-06-07 | 2003-03-20 | Tsikos Constantine J. | Method of and system for automatically producing digital images of moving objects, with pixels having a substantially uniform white level independent of the velocities of the moving objects |
| CN202995803U (en) * | 2012-08-07 | 2013-06-12 | 重庆春涵科技发展有限公司 | Product identification system based on internet of things |
| CN103884335A (en) * | 2014-04-09 | 2014-06-25 | 北京数联空间科技股份有限公司 | Remote sensing and photographic measurement positioning method based on two-dimension code geographic information sign |
| CN105182315A (en) * | 2015-07-14 | 2015-12-23 | 中国科学院电子学研究所 | Method for obtaining remote sensing image ground resolution of large swing angle optical remote sensing satellite |
| CN105376538A (en) * | 2015-12-08 | 2016-03-02 | 湖南纳雷科技有限公司 | Radar and video fused large-scale monitoring system and method |
| US20170217589A1 (en) * | 2016-01-28 | 2017-08-03 | Panasonic Intellectual Property Corporation Of America | Device that controls flight altitude of unmanned aerial vehicle |
| CN108121332A (en) * | 2016-11-28 | 2018-06-05 | 沈阳新松机器人自动化股份有限公司 | Indoor mobile robot positioner and method based on Quick Response Code |
| CN109484673A (en) * | 2018-12-24 | 2019-03-19 | 深圳航天东方红海特卫星有限公司 | A kind of payload platform separate type remote sensing micro satellite configuration and its assembly method |
| CN110008771A (en) * | 2019-03-15 | 2019-07-12 | 阿里巴巴集团控股有限公司 | A kind of scan code system and barcode scanning method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110070530B (en) | Transmission line icing detection method based on deep neural network | |
| US10108873B2 (en) | Cloud-based transregional license-plate-recognition system and method thereof | |
| Oliva et al. | RFI detection algorithm: Accurate geolocation of the interfering sources in SMOS images | |
| CN107449780A (en) | Waterborne contaminant monitoring and pre-alarming method and system based on unmanned plane | |
| CN108366227A (en) | The application platform of unmanned plane in a kind of maritime affairs intelligence cruise | |
| CN115294476B (en) | Edge computing intelligent detection method and device for unmanned aerial vehicle power inspection | |
| CN114900877B (en) | Air-to-ground communication control method and device, electronic equipment and storage medium | |
| CN111476099A (en) | Target detection method, target detection device and terminal equipment | |
| CN105631472A (en) | Wireless device identity identification method based on constellation locus diagram | |
| CN114648709A (en) | Method and equipment for determining image difference information | |
| Altinok et al. | Real‐Time Orbital Image Analysis Using Decision Forests, with a Deployment Onboard the IPEX Spacecraft | |
| CN117040109A (en) | Substation room risk early warning method based on heterogeneous data feature fusion | |
| CN116597413A (en) | Real-time traffic sign detection method based on improved YOLOv5 | |
| Grigg et al. | Detection of intended and unintended emissions from Starlink satellites in the SKA-Low frequency range, at the SKA-Low site, with an SKA-Low station analogue | |
| CN110649959A (en) | Passive uplink data transmission method based on remote sensing image | |
| US20220146707A1 (en) | Temperature prediction system | |
| Luini et al. | Modeling the impact of rain and clouds on earth–space site diversity systems | |
| CN107369903A (en) | Metal frame and its terminal | |
| CN117095251A (en) | Training and image segmentation method, device and equipment of image segmentation network | |
| CN113470012B (en) | Marking identification method and device, storage medium and electronic device | |
| CN110554420B (en) | Equipment track obtaining method and device, computer equipment and storage medium | |
| Bahr et al. | LTE based vehicle tracking and anti-theft system using Raspberry PI Microcontroller | |
| CN113361405B (en) | Asian image recognition method and system based on yolo v3 | |
| CN115600101A (en) | Unmanned aerial vehicle signal intelligent detection method and device based on priori knowledge | |
| CN115116073A (en) | Washing label identification method and device, storage medium and electronic device |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200103 |