CN112508988A - Method and device for accurately extracting mosaic lines of remote sensing images - Google Patents
Method and device for accurately extracting mosaic lines of remote sensing images Download PDFInfo
- Publication number
- CN112508988A CN112508988A CN202110049116.4A CN202110049116A CN112508988A CN 112508988 A CN112508988 A CN 112508988A CN 202110049116 A CN202110049116 A CN 202110049116A CN 112508988 A CN112508988 A CN 112508988A
- Authority
- CN
- China
- Prior art keywords
- point
- boundary
- array
- remote sensing
- points
- 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
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000004590 computer program Methods 0.000 claims description 12
- 238000000605 extraction Methods 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 3
- 230000002093 peripheral effect Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 9
- 125000004122 cyclic group Chemical group 0.000 description 2
- 238000013500 data storage Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/181—Segmentation; Edge detection involving edge growing; involving edge linking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
Abstract
A method and a device for accurately extracting mosaic lines of remote sensing images belong to the technical field of remote sensing and are characterized in that: firstly, obtaining an effective pixel value of any boundary point of a remote sensing image, then judging pixel values of four points, namely front, back, left and right points of a current point, determining an effective pixel value of a next boundary point, and circularly traversing to obtain effective pixel values of all boundary points of the current image; and finally, converting the row and column numbers of the effective pixel values of all the boundary points into coordinate values to generate a mosaic line. The method comprises the steps of obtaining any point on the boundary of the effective pixel values of the remote sensing image, judging the pixel values of four points around the point, finding the effective pixel value of the next boundary point, circularly traversing the effective pixel value, obtaining the boundary points of all the effective pixel values of the current image, converting the row number and the column number of the pixel into coordinate values, and generating a mosaic line.
Description
Technical Field
The invention belongs to the technical field of remote sensing, and particularly relates to a method and a device for accurately extracting a mosaic line of a remote sensing image.
Background
The remote sensing technology is a modern comprehensive technology which receives electromagnetic wave information from various ground objects on the earth surface from high altitude or outer space, scans, photographs, transmits and processes the information, and then carries out remote measurement and control and identification on various ground objects and phenomena on the earth surface.
The satellite remote sensing image has the characteristics of wide acquisition range, strong timeliness and the like, and is gradually one of the most important spatial data sources in practical application. The remote sensing image publishing service is a common way to share and apply the remote sensing image publishing service, in order to enable the remote sensing image service to be smoothly accessed in the application, image data behind the service generally needs to be converted into image tiles organized in a pyramid structure, and as the requirement on image timeliness of industrial application is higher and higher, data behind the image service is updated and sliced more frequently.
In the tile operation process of the remote sensing image, tiles in an effective value range need to be accurately extracted according to mosaic lines of a single remote sensing image, so that tile level splicing and updating of the remote sensing image are achieved. How to extract the mosaic lines of the image quickly and accurately limits the quality and efficiency of the production of the remote sensing image tiles. The precision of extracting mosaic lines by the existing remote sensing image processing software is poor, and the mosaic lines cannot be accurately obtained to the pixel level, so that all tiles in the effective pixel value range of the remote sensing image cannot be completely reserved.
Disclosure of Invention
The invention aims to solve the problems and provides a method and a device for accurately extracting mosaic lines of remote sensing images.
The invention provides a method for accurately extracting mosaic lines of remote sensing images, which comprises the steps of firstly, obtaining an effective pixel value of any boundary point of the remote sensing image and storing the effective pixel value into a boundary array; selecting the last boundary point from the boundary array as a current point; then judging the pixel values of four points, namely the front point, the rear point, the left point, the right point and the left point of the current point, determining the effective pixel value of the next boundary point, and performing cyclic traversal according to the effective pixel values to obtain the effective pixel values of all the boundary points of the current image; and finally, converting the row and column numbers of the effective pixel values of all the boundary points into coordinate values to generate a mosaic line.
Further, the method for accurately extracting the mosaic lines of the remote sensing images comprises the following steps: acquiring a row number and a column number of the remote sensing image, and traversing and reading each pixel value according to the row number and the column number until an effective pixel value of a first boundary point is acquired as a current point and is stored in a boundary array;
taking the last point of the boundary array as a current point, reading pixel values of an upper point, a lower point, a left point and a right point, and respectively judging each point; if the point does not exceed the boundary, is not empty and is not located in the boundary array, recording the point to a temporary array; if the temporary array has only one value, the point is a boundary point; if the temporary array has a plurality of values, taking a point closest to the current point as a boundary point; if the temporary array is empty, taking four points of upper left, lower left, upper right and lower right for judgment until a next boundary point is found;
by analogy, calculating each boundary point until all the boundary points are found;
and obtaining effective pixel values of all boundary points of the current image, converting row and column numbers of the effective pixel values into coordinate values, and generating a mosaic line.
Further, the method for accurately extracting mosaic lines of remote sensing images of the invention, wherein the process of obtaining the effective pixel value of the first boundary point as the current point and storing the effective pixel value in the boundary array comprises the following steps: firstly, acquiring the total number of rows and the total number of columns of a current image, and performing cycle traversal according to the total number of rows and the total number of columns, and reading an image block each time; in the reading process, converting the pixel value of each image block into a sparse matrix, extracting a non-zero element array, and if the non-zero element array is empty, continuing to read the next image block; if the non-zero element array is not null, calculating the line number and the column number of the non-zero element in the image, marking the pixel as the current point, recording the line number and the column number, and storing the line number and the column number in the boundary array.
Further, the method for accurately extracting mosaic lines of remote sensing images, which is disclosed by the invention, comprises the following steps of taking the last point of the boundary array as a current point, reading pixel values of four points, namely an upper point, a lower point, a left point, a right point and a left point, and respectively judging each point: respectively calculating pixel values of upper, lower, left and right points around the current point, and judging the pixel values; if the row number or the column number of the point exceeds the total row number and the total column number of the image, or the row number and the column number are less than 0, marking the point as out-of-range and skipping; if the row and column number of the point is already positioned in the boundary array, marking as existing, and skipping; if the pixel value of the point is 0, marking as 0 value, skipping; the remaining points are stored in a temporary array.
Further, the method for accurately extracting the mosaic line of the remote sensing image comprises the following steps of, if the temporary array has a plurality of values, taking a point closest to the current point as a boundary point: respectively judging pixel values of eight points around each point; if all the eight points have values, the point is not positioned on the boundary and is skipped; otherwise, recording the point in the pending array;
if the undetermined array only has one point, storing the point in the boundary array;
if the pending array has a plurality of points, a point closest to the current point is selected and stored in the boundary array.
Further, the method for accurately extracting the mosaic lines of the remote sensing images comprises the following steps of calculating each boundary point until all the boundary points are found: and taking the last point of the boundary array as the current point, and continuously judging and obtaining the next boundary point until the current point is coincided with the first point in the boundary array.
Further, the method for accurately extracting the mosaic lines of the remote sensing images comprises the following steps: converting the effective pixel value of each point in all the boundary points into coordinates, generating a boundary surface of the current image and fusing; and calculating the peripheral boundary point of the fused boundary surface to generate a mosaic line of the image.
In a second aspect, the present invention provides an accurate extraction apparatus for mosaic lines of remote sensing images, comprising: the acquisition module is used for acquiring the row and column numbers of the remote sensing image, reading each pixel value according to the row and column numbers in a traversing manner until the effective pixel value of the first boundary point is acquired as a current point, and storing the effective pixel value into the boundary array;
the judging module is used for reading pixel values of an upper point, a lower point, a left point and a right point by taking the last point of the boundary array as a current point, and respectively judging each point; if the point does not exceed the boundary, is not empty and is not located in the boundary array, recording the point to a temporary array; if the temporary array has only one value, the point is a boundary point; if the temporary array has a plurality of values, taking a point closest to the current point as a boundary point; if the temporary array is empty, taking four points of upper left, lower left, upper right and lower right for judgment until a next boundary point is found; by analogy, calculating each boundary point until all the boundary points are found;
and the line forming module is used for acquiring effective pixel values of all boundary points of the current image, converting row and column numbers of the effective pixel values into coordinate values and generating a mosaic line.
In a third aspect, the invention provides an electronic device for accurately extracting mosaic lines of remote sensing images, which comprises a memory and a processor; the memory for storing a computer program; the processor is configured to implement the method for accurately extracting mosaic lines of remote sensing images according to the first aspect when the computer program is executed.
In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the storage medium stores thereon a computer program, and when the computer program is executed by a processor, the method for accurately extracting mosaic lines of remote sensing images according to the first aspect is implemented.
The method and the device for accurately extracting the mosaic line of the remote sensing image have the characteristics of quickly and accurately extracting the mosaic line of the remote sensing image, and are widely applied to splicing and updating tiles according to the mosaic line after the remote sensing image is sliced.
Drawings
FIG. 1 is a schematic flow chart of the method for accurately extracting mosaic lines of remote sensing images according to the present invention;
fig. 2 is a schematic diagram of reading an image according to 256 × 256 block sizes according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a first non-zero block read according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating the determination of a next boundary point according to the embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating an embodiment of determining whether the point is located on a boundary or within an image;
FIG. 6 is a diagram illustrating a rectangular range box generated according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a boundary ring surface for forming a remote sensing image according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of each peripheral boundary point of the computed torus for the embodiment of the present invention;
FIG. 9 is a schematic diagram illustrating local details of a mosaic line of a remote sensing image according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of an accurate remote sensing image mosaic line extraction device according to an embodiment of the present invention.
Detailed Description
The method and the device for accurately extracting the mosaic lines of the remote sensing images are described in detail by the accompanying drawings and embodiments.
Example one
In the embodiment of the disclosure, firstly, an effective pixel value of any boundary point of a remote sensing image is obtained and stored in a boundary array; selecting the last boundary point from the boundary array as a current point; then judging the pixel values of four points, namely the front point, the rear point, the left point, the right point and the left point of the current point, determining the effective pixel value of the next boundary point, and performing cyclic traversal according to the effective pixel values to obtain the effective pixel values of all the boundary points of the current image; finally, the row and column numbers of the effective pixel values are converted into coordinate values to generate the mosaic lines.
Specifically, as shown in fig. 1, acquiring a row number and a column number of the remote sensing image, and traversing and reading each pixel value according to the row number and the column number until an effective pixel value of a first boundary point is acquired as a current point and is stored in a boundary array;
taking the last point of the boundary array as a current point, reading pixel values of an upper point, a lower point, a left point and a right point, and respectively judging each point; if the point does not exceed the boundary, is not empty and is not located in the boundary array, recording the point to a temporary array; if the temporary array has only one value, the point is a boundary point; if the temporary array has a plurality of values, taking a point closest to the current point as a boundary point; if the temporary array is empty, taking four points of upper left, lower left, upper right and lower right for judgment until a next boundary point is found; by analogy, calculating each boundary point until all the boundary points are found;
and obtaining effective pixel values of all boundary points of the current image, converting row and column numbers of the effective pixel values into coordinate values, and generating a mosaic line.
In the disclosed example, the performing step can be summarized as:
firstly, acquiring a row number and a column number of an effective pixel value of any point of an image boundary;
firstly, obtaining the total row number and the total column number of a current image, performing cycle traversal according to the total row number and the total column number, reading 256 row 256 column blocks each time as shown in fig. 2, converting the pixel value of each block into a sparse matrix for faster positioning to an effective value boundary point, extracting a non-zero element array, if the non-zero element array is null, continuing to read the next 256 row 256 block, if the non-zero element array is not null, calculating the row number and the column number of the non-zero element in the image, marking the pixel as the current point, recording the row number and the column number, and storing the row number and the column number in the boundary array as shown in fig. 3.
Step two, calculating the next boundary point
Taking the last point in the boundary array as the current point, as shown in fig. 4, calculating pixel values of four points, upper, lower, left and right, around the current point, respectively, and judging the pixel values, if the row number or column number of the point exceeds the total row number and total column number of the image, or the row number and column number are less than 0, marking as out-of-bounds, skipping; if the row and column number of the point is already positioned in the boundary array, marking as existing, and skipping; if the pixel value of the point is 0, the point is marked as a 0 value, and skipping is carried out. The remaining points are stored in a temporary array.
If only one point of the temporary array is available, the point is stored in the boundary array;
if more than one point in the temporary array is present, such as the green undetermined point in fig. 5, the pixel values of 8 points around each point are respectively judged, and if all the 8 points have values, such as the green undetermined point 1 in fig. 5, it is indicated that the point is not located on the boundary and is skipped. Otherwise recording the point in a pending array;
if the undetermined array only has one point, storing the point in the boundary array;
if the undetermined array has a plurality of points, taking a point closest to the current point and storing the point in the boundary array;
if the temporary array has no point, respectively calculating pixel values of four points of upper left, lower left, upper right and lower right around the current point, respectively making the above-mentioned step judgment for each point until finding the next boundary point, and storing in the boundary array.
Step three-cycle boundary point acquisition
And taking the last point of the boundary array as the current point, and continuing to judge and obtain the next boundary point until the current point is superposed with the first point in the boundary array, thereby obtaining the pixel row and column number of each pixel positioned on the image boundary.
Step four pixel row and column number generation graph
Reading each point in the boundary array, wherein the row and column numbers of the pixels recorded in the boundary array are the row and column numbers of the upper left corner of each pixel, as shown in fig. 6, calculating the row and column numbers of the four corner points of each pixel according to the row and column numbers of the upper left corner, converting the row and column numbers into coordinate values, and respectively generating the rectangular frame range of each pixel. The rectangular frame range of each pixel is merged into a surface, as shown in fig. 7, the surface is an annular surface, and the boundary of the surface is composed of the boundary surface of each effective pixel point at the outermost periphery of the remote sensing image.
Step five extraction of inlaid wire
The coordinates of the outer periphery of the annular surface are calculated to generate mosaic lines of the remote sensing images shown in fig. 8 and 9.
Example two
Another embodiment of the present disclosure provides an apparatus for accurately extracting a mosaic line of a remote sensing image, as shown in fig. 10, including: the acquisition module is used for acquiring the row and column numbers of the remote sensing image, reading each pixel value according to the row and column numbers in a traversing manner until the effective pixel value of the first boundary point is acquired as a current point, and storing the effective pixel value into the boundary array;
the judging module is used for reading pixel values of an upper point, a lower point, a left point and a right point by taking the last point of the boundary array as a current point, and respectively judging each point; if the point does not exceed the boundary, is not empty and is not located in the boundary array, recording the point to a temporary array; if the temporary array has only one value, the point is a boundary point; if the temporary array has a plurality of values, taking a point closest to the current point as a boundary point; if the temporary array is empty, taking four points of upper left, lower left, upper right and lower right for judgment until a next boundary point is found; by analogy, calculating each boundary point until all the boundary points are found;
and the line forming module is used for acquiring effective pixel values of all boundary points of the current image, converting row and column numbers of the effective pixel values into coordinate values and generating a mosaic line.
EXAMPLE III
The electronic device for accurately extracting mosaic lines of remote sensing images comprises a memory and a processor; the memory for storing a computer program; the processor is configured to, when the computer program is executed, enable a computer to execute the method for accurately extracting a mosaic line of a remote sensing image in the first embodiment, where specific extraction steps are the same as those in the first embodiment and are not described again.
Example four
In another specific embodiment of the present disclosure, a computer-readable medium stores a program code, and when the program code runs on a computer, the computer is enabled to execute the method for accurately extracting mosaic lines of remote sensing images in the first embodiment, where specific extraction steps are the same as those in the first embodiment, and are not described again.
The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium. The computer readable storage medium may be any available medium that can be read by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., Digital Versatile Disk (DVD)), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others. The software formed by the computer stored code can be located in the storage media mature in the field of random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, etc.
The functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for accurately extracting mosaic lines of remote sensing images is characterized by comprising the following steps: firstly, obtaining an effective pixel value of any boundary point of a remote sensing image and storing the effective pixel value into a boundary array; selecting the last boundary point from the boundary array as a current point, then judging pixel values of four points, namely the front point, the rear point, the left point and the right point of the current point, determining an effective pixel value of the next boundary point as the current point, and performing cycle traversal by using the effective pixel value to obtain effective pixel values of all boundary points of the current image; and finally, converting the row and column numbers of the effective pixel values of all the boundary points into coordinate values to generate a mosaic line.
2. The method for accurately extracting mosaic lines of remote sensing images according to claim 1, comprising the following steps of:
acquiring a row number and a column number of the remote sensing image, traversing and reading each pixel value according to the row number and the column number until an effective pixel value of a first boundary point is acquired, taking the point as a current point, and storing the current point in a boundary array;
taking the last point of the boundary array as a current point, reading pixel values of an upper point, a lower point, a left point and a right point, and respectively judging each point; if the point does not exceed the boundary, is not empty and is not located in the boundary array, recording the point to a temporary array; if the temporary array has only one value, the point is a boundary point; if the temporary array has a plurality of values, taking a point closest to the current point as a boundary point; if the temporary array is empty, taking four points of upper left, lower left, upper right and lower right for judgment until a next boundary point is found;
by analogy, calculating each boundary point until all the boundary points are found;
and obtaining effective pixel values of all boundary points of the current image, converting row and column numbers of the effective pixel values into coordinate values, and generating a mosaic line.
3. The method for accurately extracting mosaic lines of remote sensing images according to claim 2, wherein the process of obtaining the effective pixel value of the first boundary point as the current point and storing the effective pixel value in the boundary array comprises the following steps: firstly, acquiring the total number of rows and the total number of columns of a current image, and performing cycle traversal according to the total number of rows and the total number of columns, and reading an image block each time; in the reading process, converting the pixel value of each image block into a sparse matrix, extracting a non-zero element array, and if the non-zero element array is empty, continuing to read the next image block; if the non-zero element array is not null, calculating the line number and the column number of the non-zero element in the image, marking the pixel as the current point, recording the line number and the column number, and storing the line number and the column number in the boundary array.
4. The method for accurately extracting mosaic lines of remote sensing images according to claim 2, wherein the process of reading pixel values of four points, upper, lower, left and right, and respectively determining each point by using the last point of the boundary array as the current point comprises: respectively calculating pixel values of upper, lower, left and right points around the current point, and judging the pixel values; if the row number or the column number of the point exceeds the total row number and the total column number of the image, or the row number and the column number are less than 0, marking the point as out-of-range and skipping; if the row and column number of the point is already positioned in the boundary array, marking as existing, and skipping; if the pixel value of the point is 0, marking as 0 value, skipping; the remaining points are stored in a temporary array.
5. The method for accurately extracting mosaic lines of remote sensing images according to claim 2, wherein if the temporary array has a plurality of values, the process of taking the nearest point to the current point as the boundary point comprises: respectively judging pixel values of eight points around each point; if all the eight points have values, the point is not positioned on the boundary and is skipped; otherwise, recording the point in the pending array;
if the undetermined array only has one point, storing the point in the boundary array;
if the pending array has a plurality of points, a point closest to the current point is selected and stored in the boundary array.
6. The method for accurately extracting mosaic lines of remote sensing images as claimed in claim 2, wherein said calculating each boundary point until all boundary points are found is based on: and taking the last point of the boundary array as the current point, and continuously judging and obtaining the next boundary point until the current point is coincided with the first point in the boundary array.
7. The method for accurately extracting mosaic lines of remote sensing images according to claim 2, wherein the process of generating mosaic lines comprises: converting the pixel range of each boundary point in all the boundary points into coordinates, generating a boundary surface of each pixel and fusing; and calculating the peripheral boundary point of the fused boundary surface to generate a mosaic line of the image.
8. The utility model provides an accurate extraction element of remote sensing image mosaic line which characterized in that includes:
the acquisition module is used for acquiring the row and column numbers of the remote sensing image, reading each pixel value according to the row and column numbers in a traversing manner until the effective pixel value of the first boundary point is acquired as a current point, and storing the effective pixel value into the boundary array;
the judging module is used for reading pixel values of an upper point, a lower point, a left point and a right point by taking the last point of the boundary array as a current point, and respectively judging each point; if the point does not exceed the boundary, is not empty and is not located in the boundary array, recording the point to a temporary array; if the temporary array has only one value, the point is a boundary point; if the temporary array has a plurality of values, taking a point closest to the current point as a boundary point; if the temporary array is empty, taking four points of upper left, lower left, upper right and lower right for judgment until a next boundary point is found; by analogy, calculating each boundary point until all the boundary points are found;
and the line forming module is used for acquiring effective pixel values of all boundary points of the current image, converting row and column numbers of the effective pixel values into coordinate values and generating a mosaic line.
9. An electronic device for accurately extracting mosaic lines of remote sensing images comprises a memory and a processor; the method is characterized in that: the memory for storing a computer program; the processor is used for realizing the method for accurately extracting the mosaic lines of the remote sensing images according to any one of claims 1 to 7 when the computer program is executed.
10. A computer-readable storage medium, wherein the storage medium has a computer program stored thereon, and when the computer program is executed by a processor, the method for accurately extracting mosaic lines of remote sensing images according to any one of claims 1 to 7 is implemented.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110049116.4A CN112508988A (en) | 2021-01-14 | 2021-01-14 | Method and device for accurately extracting mosaic lines of remote sensing images |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110049116.4A CN112508988A (en) | 2021-01-14 | 2021-01-14 | Method and device for accurately extracting mosaic lines of remote sensing images |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112508988A true CN112508988A (en) | 2021-03-16 |
Family
ID=74952213
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110049116.4A Pending CN112508988A (en) | 2021-01-14 | 2021-01-14 | Method and device for accurately extracting mosaic lines of remote sensing images |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112508988A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114708354A (en) * | 2022-03-04 | 2022-07-05 | 广东省国土资源测绘院 | Drawing method, equipment, medium and product of inlaid line |
| CN116309057A (en) * | 2023-03-14 | 2023-06-23 | 中科星图数字地球合肥有限公司 | Remote sensing image splicing method, device, computer equipment and storage medium |
| WO2024016368A1 (en) * | 2022-07-21 | 2024-01-25 | 苏州中科天启遥感科技有限公司 | Mask-guided image mosaic line generation method and apparatus, computer device, and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH01303581A (en) * | 1988-05-31 | 1989-12-07 | Yokogawa Electric Corp | Border line tracking device for digital image |
| CN105469094A (en) * | 2015-11-28 | 2016-04-06 | 重庆交通大学 | Edge vector line extraction algorithm of binary image of road surface |
| CN108846875A (en) * | 2018-04-26 | 2018-11-20 | 广州视源电子科技股份有限公司 | Shape data treating method and apparatus |
| CN111260675A (en) * | 2020-01-21 | 2020-06-09 | 武汉大学 | High-precision extraction method and system for image real boundary |
-
2021
- 2021-01-14 CN CN202110049116.4A patent/CN112508988A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH01303581A (en) * | 1988-05-31 | 1989-12-07 | Yokogawa Electric Corp | Border line tracking device for digital image |
| CN105469094A (en) * | 2015-11-28 | 2016-04-06 | 重庆交通大学 | Edge vector line extraction algorithm of binary image of road surface |
| CN108846875A (en) * | 2018-04-26 | 2018-11-20 | 广州视源电子科技股份有限公司 | Shape data treating method and apparatus |
| CN111260675A (en) * | 2020-01-21 | 2020-06-09 | 武汉大学 | High-precision extraction method and system for image real boundary |
Non-Patent Citations (2)
| Title |
|---|
| 王作勇;陈炜;: "高分辨率遥感影像图制作的镶嵌线自动提取", 测绘通报, no. 06, 25 June 2020 (2020-06-25) * |
| 蔡红;: "一种遥感影像镶嵌线自动提取方法", 城市地理, no. 08, 25 April 2017 (2017-04-25) * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114708354A (en) * | 2022-03-04 | 2022-07-05 | 广东省国土资源测绘院 | Drawing method, equipment, medium and product of inlaid line |
| CN114708354B (en) * | 2022-03-04 | 2023-06-23 | 广东省国土资源测绘院 | Method, equipment, medium and product for drawing embedded line |
| WO2024016368A1 (en) * | 2022-07-21 | 2024-01-25 | 苏州中科天启遥感科技有限公司 | Mask-guided image mosaic line generation method and apparatus, computer device, and storage medium |
| CN116309057A (en) * | 2023-03-14 | 2023-06-23 | 中科星图数字地球合肥有限公司 | Remote sensing image splicing method, device, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112508988A (en) | Method and device for accurately extracting mosaic lines of remote sensing images | |
| CN111291584B (en) | Method and system for identifying two-dimensional code position | |
| US20190370989A1 (en) | Method and apparatus for 3-dimensional point cloud reconstruction | |
| CN108428220B (en) | Automatic geometric correction method for ocean island reef area of remote sensing image of geostationary orbit satellite sequence | |
| CN109977952B (en) | Candidate target detection method based on local maximum | |
| CN109829074B (en) | Target area orthophoto image searching method, storage medium and electronic device | |
| US20110018873A1 (en) | Two-dimensional to three-dimensional image conversion system and method | |
| US7778808B2 (en) | Geospatial modeling system providing data thinning of geospatial data points and related methods | |
| CN111949817A (en) | Crop information display system, method, equipment and medium based on remote sensing image | |
| CN112053383B (en) | Method and device for positioning robot in real time | |
| CN116109765A (en) | Three-dimensional rendering method and device for labeling objects, computer equipment and storage medium | |
| CN111222531B (en) | Sea wave field space-time evolution information extraction method and system | |
| CN111552751B (en) | Three-dimensional landmark control point generation and application method, generation and application device | |
| CN115952252B (en) | Semantic tile data processing method and device based on dynamic rendering and electronic equipment | |
| CN112509042A (en) | Real-time positioning method and device based on-satellite control point library and storage medium | |
| US8630477B2 (en) | Electronic device and method for outputting measurement data | |
| CN116758206A (en) | Vector data fusion rendering method and device, computer equipment and storage medium | |
| CN117095275A (en) | Asset inventory method, system, device and storage medium for data center | |
| JP7352706B2 (en) | Cargo counting method and device, computer device, and storage medium | |
| CN116129345A (en) | Method and device for detecting oil level of conservator of transformer and computer equipment | |
| US11907283B2 (en) | Multi-resolution raster data access method, apparatus, electronic device, and computer storage medium | |
| CN116091998A (en) | Image processing method, device, computer equipment and storage medium | |
| CN116797747A (en) | Underwater detection data visualization method, device, computer equipment and storage medium | |
| CN115018932A (en) | Camera calibration method and device, electronic equipment and storage medium | |
| CN109241375B (en) | Management method and device for surveying and mapping archive |
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 |