CN117928494A - Geometric positioning measurement method, system and equipment for optical satellite slice images - Google Patents
Geometric positioning measurement method, system and equipment for optical satellite slice images Download PDFInfo
- Publication number
- CN117928494A CN117928494A CN202410303721.3A CN202410303721A CN117928494A CN 117928494 A CN117928494 A CN 117928494A CN 202410303721 A CN202410303721 A CN 202410303721A CN 117928494 A CN117928494 A CN 117928494A
- Authority
- CN
- China
- Prior art keywords
- rpc
- slice
- image
- images
- parameters
- 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
Links
- 230000003287 optical effect Effects 0.000 title claims abstract description 55
- 238000000691 measurement method Methods 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 32
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000005259 measurement Methods 0.000 claims abstract description 8
- 238000013507 mapping Methods 0.000 claims description 6
- 238000000926 separation method Methods 0.000 abstract 1
- 238000003384 imaging method Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 3
- 240000004282 Grewia occidentalis Species 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001444 catalytic combustion detection Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/04—Interpretation of pictures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Image Processing (AREA)
Abstract
The invention belongs to the technical field of remote sensing satellite images, in particular relates to a geometric positioning measurement method, a geometric positioning measurement system and geometric positioning measurement equipment for an optical satellite slice image, and aims to solve the problem that the ground resolution of the conventional vertical orbit circular scanning satellite image changes at time and can not be subjected to scenery separation according to fixed ground intervals. The invention comprises the following steps: dividing the optical satellite image into uniform grids at set intervals; based on each uniform grid, defining an external rectangle with a set expansion length as an interval, and marking an optical satellite image in the external rectangle as a slice image; calculating the RPC parameters of the slice images by a non-terrain-related RPC parameter estimation method; determining homonymy points based on overlapping areas of adjacent slice images, and taking the homonymy points as connection points; and carrying out regional network adjustment on the RPC parameters of the plurality of slice images based on the connection points to obtain the RPC updating parameters of the slice images. The invention carries out regional net adjustment processing on the sliced images, and ensures the consistency of geometric precision among the image slices.
Description
Technical Field
The invention belongs to the technical field of remote sensing satellite images, and particularly relates to a geometric positioning measurement method, a geometric positioning measurement system and geometric positioning measurement equipment for an optical satellite slice image.
Background
Optical satellites generally adopt linear array sensors for push-broom imaging along an orbit, and in order to facilitate data processing and application, the original images need to be subjected to scenery division. The view-dividing process of the linear array push-broom satellite image generally carries out slicing on the original image according to the fixed step length according to the coverage ground range of the satellite imaging, and then generates RPC parameters and the like matched with the image to be provided for a user.
With the progress and development of satellite platform technology, optical sensor technology and attitude control technology, a vertical orbital circular scanning imaging mechanism different from linear array push scanning imaging is proposed. A plurality of linear array CCDs carried on the vertical orbit circular scanning satellite are arranged along the satellite flight direction, the optical sensor rotates 360 degrees around the flight direction, and the view fields are continuously overlapped in the vertical orbit direction so as to realize circular scanning imaging. The vertical orbit circular scanning satellite has the characteristics of high resolution and ultra-large breadth, the imaging breadth of one scanning is 3000km, and the data volume is 300 GB.
Because the current mainstream commercial software is aimed at traditional satellite images, the current mainstream commercial software is incompatible with ultra-large-breadth satellite images, and slicing distribution is required. Unlike traditional linear array push-broom optical satellite images, the ground resolution of vertical-orbit circular-broom satellite images is changed at all times, the difference between the points below the satellite and the edges of the images is about 5 times, the scenery division cannot be carried out according to fixed ground intervals, and a slicing processing method suitable for the imaging characteristics of the vertical-orbit circular-broom satellite images needs to be designed.
Disclosure of Invention
In order to solve the above problems in the prior art, that is, the ground resolution of the existing vertical orbit circular scanning satellite image changes at time and can not perform the scenery division according to the fixed ground interval, the invention provides a geometric positioning measurement method of an optical satellite slice image, which comprises the following steps:
S1, dividing an optical satellite image into a plurality of uniform grids by taking a set length d as an interval;
Step S2, based on each uniform grid, defining an external rectangle with a set expansion length as an interval, and marking an optical satellite image in the external rectangle as a slice image;
step S3, calculating the RPC parameters of the slice images by a non-terrain-related RPC parameter estimation method;
S4, determining homonymy points based on overlapping areas of adjacent slice images, and taking the homonymy points as connection points;
step S5, based on the connection points, carrying out regional network adjustment on the RPC parameters of the plurality of slice images to obtain the RPC updating parameters of the slice images;
And S6, based on the RPC updating parameters of the slice images, performing geometric processing on the remote sensing images by taking each slice image as an independent unit to obtain high-precision geometric coordinates of the ground object points in each slice image, and generating a high-precision mapping product.
Further, the set expansion length is d/10.
Further, the method further comprises the step of adjusting the expansion length according to the texture richness, specifically selecting the corresponding expansion length through the texture richness interval where the average color gradient of the optical satellite image is located.
Further, the step S3 specifically includes:
Step S31, extracting a plurality of ground control points and corresponding ground control point information based on the slice images;
Step S32, establishing an RPC projection polynomial relation model for each slice image;
Step S33, parameters of the RPC projection polynomial relation model are adjusted according to the ground control point information through a least square method, and an optimized RPC projection polynomial relation model is obtained;
And step S34, estimating the RPC parameters of the slice images through the optimized RPC projection polynomial relation model.
Furthermore, when the optical satellite image is acquired, the azimuth element and the orbit attitude parameter in the camera are also acquired at the same time; the in-camera orientation element includes: the main distance, the image main point coordinates, the lens distortion parameters, the shooting station point coordinates, the attitude parameters and the position of the image main point relative to the center of the image; the orbital attitude parameters include yaw, pitch, roll and satellite coordinates in the WGS-84 coordinate system.
Further, the step S6 specifically includes:
And displaying the slice image RPC updating parameters and/or the slice image in the selected area according to the area selected by the user.
In another aspect of the present invention, a geometric positioning measurement system for optical satellite slice images is provided, the system comprising:
The grid dividing module is configured to divide the optical satellite image into a plurality of uniform grids with the set length d as an interval;
The slicing module is configured to define an external rectangle with a set expansion length as an interval based on each uniform grid, and the optical satellite images in the external rectangle are recorded as slice images;
the RPC parameter estimation module is configured to calculate the RPC parameters of the slice images by a non-terrain-related RPC parameter estimation method;
the connecting point acquisition module is configured to determine homonymy points based on the overlapping areas of the adjacent slice images, and takes the homonymy points as connecting points;
The RPC parameter updating module is configured to perform regional network adjustment on the plurality of slice image RPC parameters based on the connection point to obtain slice image RPC updating parameters;
And the display module is configured to perform geometric processing on the remote sensing images by taking each slice image as an independent unit based on the RPC updating parameters of the slice images to obtain high-precision geometric coordinates of the ground object points in each slice image, and generate a high-precision mapping product.
In a third aspect of the present invention, an electronic device is provided, including:
At least one processor; and
A memory communicatively coupled to at least one of the processors; wherein,
The memory stores instructions executable by the processor for execution by the processor to implement a geometric positioning measurement method for optical satellite slice images as described above.
In a fourth aspect of the present invention, a computer readable storage medium is provided, where computer instructions are stored, where the computer instructions are used to be executed by the computer to implement a geometric positioning measurement method for optical satellite slice images as described above.
The invention has the beneficial effects that:
(1) The invention converts the ultra-large-breadth satellite image into the data format same as the traditional satellite image through the slicing processing of the linear array vertical orbit circular scanning satellite image, realizes the compatibility with the existing satellite data processing system, and realizes the popularization and the use of the optical remote sensing satellite image with a new system on the premise of not developing a special system.
(2) The invention carries out regional net adjustment processing on the sliced images, and ensures the consistency of geometric precision among the image slices. And after slicing, the conditions of sensitive performance parameters such as satellite imaging mode, coverage capacity and the like can be hidden when the product is released.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of a geometric positioning measurement method for an optical satellite slice image according to an embodiment of the invention;
FIG. 2 is an algorithm diagram of a geometric positioning measurement method for an optical satellite slice image according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the principle of satellite imaging with hammer orbit circular scanning in an embodiment of the invention;
fig. 4 is a schematic diagram illustrating the principle of dividing image slices according to an embodiment of the invention.
Detailed Description
The application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be noted that, for convenience of description, only the portions related to the present application are shown in the drawings.
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
In order to more clearly describe a geometric positioning measurement method for an optical satellite slice image according to the present invention, each step in the embodiment of the present invention is described in detail below with reference to fig. 1 and 2.
The geometric positioning measurement method of the optical satellite slice image of the first embodiment of the invention comprises the following steps S1-S6, wherein the steps are described in detail as follows:
Before the method is executed, optical satellite images are acquired through linear array vertical orbit circular scanning satellites, and the azimuth element and orbit attitude parameters in a camera of each scene of the optical satellite images are acquired. And (3) imaging the acquired optical satellite images in a vertical orbit circular scanning mode to obtain continuous coverage images. Because of the large amount of acquired image data, conventional software systems are difficult to be compatible, and therefore slice distribution is required. The principle of acquiring an optical satellite image through a linear array vertical orbit circular scanning satellite is shown in fig. 3.
Step S1, dividing the optical satellite image into a plurality of uniform grids with the set length d as an interval.
In this embodiment, when the optical satellite image is acquired, an azimuth element and an orbital attitude parameter in the camera are also acquired at the same time; the in-camera orientation element includes: the main distance, the image main point coordinates, the lens distortion parameters, the shooting station point coordinates, the attitude parameters and the position of the image main point relative to the center of the image; the orbital attitude parameters include yaw, pitch, roll and satellite coordinates in the WGS-84 coordinate system.
The initial set length d can refer to the image size of a common push-broom optical satellite, and the grid size is 20k×20k in general.
In this embodiment, the method further includes a step of adjusting the extension length according to the texture richness, specifically selecting a corresponding extension length through a texture richness interval in which an average color gradient of the optical satellite image is located.
And S2, based on each uniform grid, defining an external rectangle with a set expansion length as an interval, and marking an optical satellite image in the external rectangle as a slice image.
In this embodiment, the set expansion length is d/10.
Taking the side length d of each grid as an example, drawing an external rectangle with the side length d+ (d/10) multiplied by 2 as the side length by using the center of each grid, recording four-corner coordinates of the external rectangle, and demarcating an image slice by using the four-corner coordinates. The acquisition of slice images is shown in fig. 4.
The image slices are divided by the expansion length, so that enough connection points between adjacent image slices are ensured to be used for image area network adjustment, and the consistency of geometric accuracy between the slice images is ensured. In actual operation, the size of the interval can be reasonably adjusted according to the abundant condition of the image textures, so as to provide enough connection points.
And step S3, calculating the RPC parameters of the slice images by a non-terrain-related RPC parameter estimation method.
The generation of the RPC parameters is different from the generation of the traditional push-broom satellite images, and the difference defined by the coordinate system needs to be noted, so that the correspondence between the RPC and the images is maintained.
In this embodiment, the step S3 specifically includes:
Step S31, extracting a plurality of ground control points and corresponding ground control point information based on the slice images;
Step S32, establishing an RPC projection polynomial relation model for each slice image;
Step S33, parameters of the RPC projection polynomial relation model are adjusted according to the ground control point information through a least square method, and an optimized RPC projection polynomial relation model is obtained;
And step S34, estimating the RPC parameters of the slice images through the optimized RPC projection polynomial relation model.
And S4, determining homonymy points based on the overlapping areas of the adjacent slice images, and taking the homonymy points as connection points. The method for obtaining the homonymy point is image matching.
And step S5, carrying out regional network adjustment on the plurality of slice image RPC parameters based on the connection points to obtain slice image RPC updating parameters.
The geometric precision consistency between slice images can be ensured through regional network adjustment, the use is convenient for users, and if ground control information exists, adjustment can be participated in, so that the absolute geographic precision of products is improved. The method is characterized in that the adjacent slice images are geometrically corrected by using the connection points distributed between the adjacent slices as control point data.
And S6, based on the RPC updating parameters of the slice images, performing geometric processing on the remote sensing images by taking each slice image as an independent unit to obtain high-precision geometric coordinates of the ground object points in each slice image, and generating a high-precision mapping product.
In this embodiment, the step S6 specifically includes:
And displaying the slice image RPC updating parameters and/or the slice image in the selected area according to the area selected by the user.
Although the steps are described in the above-described sequential order in the above-described embodiments, it will be appreciated by those skilled in the art that in order to achieve the effects of the present embodiments, the steps need not be performed in such order, and may be performed simultaneously (in parallel) or in reverse order, and such simple variations are within the scope of the present invention.
A geometric positioning measurement system for optical satellite slice images according to a second embodiment of the present invention includes:
The grid dividing module is configured to divide the optical satellite image into a plurality of uniform grids with the set length d as an interval;
The slicing module is configured to define an external rectangle with a set expansion length as an interval based on each uniform grid, and the optical satellite images in the external rectangle are recorded as slice images;
the RPC parameter estimation module is configured to calculate the RPC parameters of the slice images by a non-terrain-related RPC parameter estimation method;
the connecting point acquisition module is configured to determine homonymy points based on the overlapping areas of the adjacent slice images, and takes the homonymy points as connecting points;
The RPC parameter updating module is configured to perform regional network adjustment on the plurality of slice image RPC parameters based on the connection point to obtain slice image RPC updating parameters;
And the display module is configured to perform geometric processing on the remote sensing images by taking each slice image as an independent unit based on the RPC updating parameters of the slice images to obtain high-precision geometric coordinates of the ground object points in each slice image, and generate a high-precision mapping product.
It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above and the related description may refer to the corresponding process in the foregoing method embodiment, which is not repeated here.
It should be noted that, in the geometric positioning measurement system for optical satellite slice images provided in the foregoing embodiment, only the division of the functional modules is illustrated, and in practical application, the functional allocation may be performed by different functional modules according to needs, that is, the modules or steps in the foregoing embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into a plurality of sub-modules to complete all or part of the functions described above. The names of the modules and steps related to the embodiments of the present invention are merely for distinguishing the respective modules or steps, and are not to be construed as unduly limiting the present invention.
An electronic device of a third embodiment of the present invention includes:
At least one processor; and
A memory communicatively coupled to at least one of the processors; wherein,
The memory stores instructions executable by the processor for execution by the processor to implement a geometric positioning measurement method for optical satellite slice images as described above.
A fourth embodiment of the present invention is a computer readable storage medium storing computer instructions for execution by the computer to implement a geometric positioning measurement method for an optical satellite slice image as described above.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the storage device and the processing device described above and the related description may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
Those of skill in the art will appreciate that the various illustrative modules, method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the program(s) corresponding to the software modules, method steps, may be embodied in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Those skilled in the art may implement the described functionality using different approaches for each particular application, but such implementation is not intended to be limiting.
The terms "first," "second," and the like, are used for distinguishing between similar objects and not for describing a particular sequential or chronological order.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus/apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus/apparatus.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
Claims (9)
1. A geometric positioning measurement method for an optical satellite slice image, the method comprising:
S1, dividing an optical satellite image into a plurality of uniform grids by taking a set length d as an interval;
Step S2, based on each uniform grid, defining an external rectangle with a set expansion length as an interval, and marking an optical satellite image in the external rectangle as a slice image;
step S3, calculating the RPC parameters of the slice images by a non-terrain-related RPC parameter estimation method;
S4, determining homonymy points based on overlapping areas of adjacent slice images, and taking the homonymy points as connection points;
step S5, based on the connection points, carrying out regional network adjustment on the RPC parameters of the plurality of slice images to obtain the RPC updating parameters of the slice images;
And S6, based on the RPC updating parameters of the slice images, performing geometric processing on the remote sensing images by taking each slice image as an independent unit to obtain high-precision geometric coordinates of the ground object points in each slice image, and generating a high-precision mapping product.
2. The method for measuring geometric positioning of an optical satellite slice image according to claim 1, wherein the set expansion length is d/10.
3. The method for measuring geometric positioning of an optical satellite slice image according to claim 2, further comprising the step of adjusting the extension length according to the texture richness, specifically selecting the corresponding extension length through the texture richness interval in which the average color gradient of the optical satellite image is located.
4. The geometric positioning measurement method of an optical satellite slice image according to claim 1, wherein the step S3 specifically comprises:
Step S31, extracting a plurality of ground control points and corresponding ground control point information based on the slice images;
Step S32, establishing an RPC projection polynomial relation model for each slice image;
Step S33, parameters of the RPC projection polynomial relation model are adjusted according to the ground control point information through a least square method, and an optimized RPC projection polynomial relation model is obtained;
And step S34, estimating the RPC parameters of the slice images through the optimized RPC projection polynomial relation model.
5. The method for measuring geometric positioning of an optical satellite slice image according to claim 1, wherein the optical satellite slice image is acquired while acquiring azimuth elements and orbit attitude parameters in a camera; the in-camera orientation element includes: the main distance, the image main point coordinates, the lens distortion parameters, the shooting station point coordinates, the attitude parameters and the position of the image main point relative to the center of the image; the orbital attitude parameters include yaw, pitch, roll and satellite coordinates in the WGS-84 coordinate system.
6. The geometric positioning measurement method of an optical satellite slice image according to claim 1, wherein the step S6 specifically comprises:
And displaying the slice image RPC updating parameters and/or the slice image in the selected area according to the area selected by the user.
7. A geometric positioning measurement system for optical satellite slice images, the system comprising:
The grid dividing module is configured to divide the optical satellite image into a plurality of uniform grids with the set length d as an interval;
The slicing module is configured to define an external rectangle with a set expansion length as an interval based on each uniform grid, and the optical satellite images in the external rectangle are recorded as slice images;
the RPC parameter estimation module is configured to calculate the RPC parameters of the slice images by a non-terrain-related RPC parameter estimation method;
the connecting point acquisition module is configured to determine homonymy points based on the overlapping areas of the adjacent slice images, and takes the homonymy points as connecting points;
The RPC parameter updating module is configured to perform regional network adjustment on the plurality of slice image RPC parameters based on the connection point to obtain slice image RPC updating parameters;
And the display module is configured to perform geometric processing on the remote sensing images by taking each slice image as an independent unit based on the RPC updating parameters of the slice images to obtain high-precision geometric coordinates of the ground object points in each slice image, and generate a high-precision mapping product.
8. An electronic device, comprising:
At least one processor; and
A memory communicatively coupled to at least one of the processors; wherein,
The memory stores instructions executable by the processor for performing the geometric positioning measurement method of an optical satellite slice image as claimed in any one of claims 1 to 6.
9. A computer readable storage medium having stored thereon computer instructions for execution by the computer to perform a geometric positioning measurement method of optical satellite slice images according to any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410303721.3A CN117928494B (en) | 2024-03-18 | 2024-03-18 | Geometric positioning measurement method, system and equipment for optical satellite slice images |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410303721.3A CN117928494B (en) | 2024-03-18 | 2024-03-18 | Geometric positioning measurement method, system and equipment for optical satellite slice images |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117928494A true CN117928494A (en) | 2024-04-26 |
| CN117928494B CN117928494B (en) | 2024-05-24 |
Family
ID=90751018
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410303721.3A Active CN117928494B (en) | 2024-03-18 | 2024-03-18 | Geometric positioning measurement method, system and equipment for optical satellite slice images |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117928494B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108364279A (en) * | 2017-12-26 | 2018-08-03 | 中国人民解放军战略支援部队信息工程大学 | Determine the method that stationary orbit remote sensing satellite is directed toward deviation |
| CN110111274A (en) * | 2019-04-28 | 2019-08-09 | 张过 | A kind of spaceborne push-broom type optical sensor elements of exterior orientation calibrating method |
| CN110378001A (en) * | 2019-07-11 | 2019-10-25 | 中国空间技术研究院 | A kind of Pillarless caving remote sensing satellite geometric positioning accuracy analysis method |
| US10782418B1 (en) * | 2019-11-28 | 2020-09-22 | Beihang University | Calculation method for visual navigation integrity monitoring |
| CN113313769A (en) * | 2021-06-11 | 2021-08-27 | 湖北工业大学 | Seamless geometric calibration method between optical satellite multi-area array sensor chips |
| CN113902645A (en) * | 2021-10-27 | 2022-01-07 | 中国电子科技集团公司第三十八研究所 | Reverse RD positioning model-based RPC correction parameter acquisition method for satellite-borne SAR image |
| CN113900125A (en) * | 2021-09-27 | 2022-01-07 | 武汉大学 | Satellite-ground combined linear array imaging remote sensing satellite full-autonomous geometric calibration method and system |
| CN117576343A (en) * | 2023-11-24 | 2024-02-20 | 自然资源部国土卫星遥感应用中心 | Three-dimensional MESH model manufacturing method based on high-resolution satellite stereoscopic image |
| CN117664087A (en) * | 2024-01-31 | 2024-03-08 | 中国人民解放军战略支援部队航天工程大学 | Method, system and equipment for generating vertical orbit circular scanning type satellite image epipolar line |
-
2024
- 2024-03-18 CN CN202410303721.3A patent/CN117928494B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108364279A (en) * | 2017-12-26 | 2018-08-03 | 中国人民解放军战略支援部队信息工程大学 | Determine the method that stationary orbit remote sensing satellite is directed toward deviation |
| CN110111274A (en) * | 2019-04-28 | 2019-08-09 | 张过 | A kind of spaceborne push-broom type optical sensor elements of exterior orientation calibrating method |
| CN110378001A (en) * | 2019-07-11 | 2019-10-25 | 中国空间技术研究院 | A kind of Pillarless caving remote sensing satellite geometric positioning accuracy analysis method |
| US10782418B1 (en) * | 2019-11-28 | 2020-09-22 | Beihang University | Calculation method for visual navigation integrity monitoring |
| CN113313769A (en) * | 2021-06-11 | 2021-08-27 | 湖北工业大学 | Seamless geometric calibration method between optical satellite multi-area array sensor chips |
| CN113900125A (en) * | 2021-09-27 | 2022-01-07 | 武汉大学 | Satellite-ground combined linear array imaging remote sensing satellite full-autonomous geometric calibration method and system |
| CN113902645A (en) * | 2021-10-27 | 2022-01-07 | 中国电子科技集团公司第三十八研究所 | Reverse RD positioning model-based RPC correction parameter acquisition method for satellite-borne SAR image |
| CN117576343A (en) * | 2023-11-24 | 2024-02-20 | 自然资源部国土卫星遥感应用中心 | Three-dimensional MESH model manufacturing method based on high-resolution satellite stereoscopic image |
| CN117664087A (en) * | 2024-01-31 | 2024-03-08 | 中国人民解放军战略支援部队航天工程大学 | Method, system and equipment for generating vertical orbit circular scanning type satellite image epipolar line |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117928494B (en) | 2024-05-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8879871B2 (en) | Method for processing images using automatic georeferencing of images derived from a pair of images captured in the same focal plane | |
| CA2821602C (en) | Oblique geolocation and measurement system | |
| EP2212858B1 (en) | Method and apparatus of taking aerial surveys | |
| Pieczonka et al. | Generation and evaluation of multitemporal digital terrain models of the Mt. Everest area from different optical sensors | |
| CN113415433B (en) | Pod attitude correction method and device based on three-dimensional scene model and unmanned aerial vehicle | |
| Poli | A rigorous model for spaceborne linear array sensors | |
| CN112862966B (en) | Method, device, equipment and storage medium for constructing surface three-dimensional model | |
| CN114241125B (en) | Multi-view satellite image-based fine three-dimensional modeling method and system | |
| KR100417638B1 (en) | Digital Photogrammetric Manufacturing System using General PC | |
| CN115358486B (en) | Port freight volume prediction method, system and application based on stereoscopic satellite images | |
| KR100904078B1 (en) | A system and a method for generating 3-dimensional spatial information using aerial photographs of image matching | |
| CN107862652B (en) | Aerial view generation method and device | |
| CN108253940B (en) | Positioning method and device | |
| Chmiel et al. | Orthorectification and geometric quality assessment of very high spatial resolution satellite imagery for Common Agricultural Policy purposes | |
| CN117928494B (en) | Geometric positioning measurement method, system and equipment for optical satellite slice images | |
| KR20060127519A (en) | Spatial information structure method based image and system thereof | |
| King et al. | Airborne digital frame camera imaging for elevation determination | |
| JP3490774B2 (en) | How to generate geospecific textures | |
| CN112213750B (en) | Hyperspectral guard sheet full-spectrum pixel-by-pixel imaging angle parameter processing method and medium | |
| Torlegård | Sensors for photogrammetric mapping: review and prospects | |
| Westin | Production of satellite image maps based on SPOT data | |
| Fritsch et al. | MOMS-02/D2 DTM generation using intensity-based least-squares matching techniques | |
| Dowman et al. | Precision geocoding from SAR data and the combination of SAR with other data sets | |
| Gredel et al. | Precision Processing of European ERS-1 SAR Data with high throughput | |
| Dowman | Images from space: the future for satellite photogrammetry |
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 |