CN105894471A - Medium-small scale orthoimage rapid correction method based on large-scale topographic map - Google Patents
Medium-small scale orthoimage rapid correction method based on large-scale topographic map Download PDFInfo
- Publication number
- CN105894471A CN105894471A CN201610196810.8A CN201610196810A CN105894471A CN 105894471 A CN105894471 A CN 105894471A CN 201610196810 A CN201610196810 A CN 201610196810A CN 105894471 A CN105894471 A CN 105894471A
- Authority
- CN
- China
- Prior art keywords
- scale
- point
- image
- engineer
- steps
- 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 27
- 238000012937 correction Methods 0.000 title abstract description 5
- 238000009432 framing Methods 0.000 claims description 6
- 238000004140 cleaning Methods 0.000 claims description 3
- 238000012217 deletion Methods 0.000 claims description 3
- 230000037430 deletion Effects 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- VMXUWOKSQNHOCA-UKTHLTGXSA-N ranitidine Chemical compound [O-][N+](=O)\C=C(/NC)NCCSCC1=CC=C(CN(C)C)O1 VMXUWOKSQNHOCA-UKTHLTGXSA-N 0.000 claims description 3
- 240000007594 Oryza sativa Species 0.000 claims description 2
- 235000007164 Oryza sativa Nutrition 0.000 claims description 2
- 235000009566 rice Nutrition 0.000 claims description 2
- 238000013507 mapping Methods 0.000 description 7
- 238000007418 data mining Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Classifications
-
- G06T5/80—
-
- 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
The invention discloses a medium-small scale orthoimage rapid correction method based on a large-scale topographic map. The method comprises the following steps of: A, determining a corresponding scale according to image resolution; B, extracting building and structure information in a topographic map larger than an image scale; C, searching the angular point of the building or structure and recording the coordinate of the angular point; and D correcting a orthoimage with the same point to obtain result image data. The method solves a problem existing in the rapid correction of the medium-small scale orthoimage in the large-scale topographic map and can be used for correcting orthoimages with scales between 1 to 1000 and 1 to 10000.
Description
Technical field
The present invention relates to satellite image processing technology field, be specifically related to a kind of based on large scale topographical map
The middle quick correcting method of small scale orthography.
Background technology
Orthography correcting method many employings field operation actual measurement pattern, obtains the true coordinate of characteristic point, this side
The inefficiency of formula, cost and cycle are the highest.For having had the production unit of certain data accumulation,
The method that can use data mining, obtains the characteristic point information needed, image is carried out correction process, reaches
Reduce the purpose of field operation mapping.
City survey is many based on large scale topographical map, typically based on 1: 500 and 1: 2000 engineer's scale,
Therefore topographic map can be carried out data mining, obtain the photo control point information needed.According to the relevant specification of surveying and mapping,
Different scale topographic map culture point limit difference is less than upper 0.2 millimeter of figure, and proportionally chi calculates the ratio of 1: 500
Example chi culture point limit difference is less than 0.1 meter, and the required precision of mapping base point is existed by 1: 1000 topographic maps
Less than 0.1 millimeter 0.1 meter the most on the spot on figure, therefore 1: 500 topographic map culture point can meet 1: 1000 ground
The demand of shape figure graph design.Based on this principle, when large scale topographical map engineer's scale is 1: Scall, then its
Corresponding culture point can meet 1: 2*Scall and the demand of smaller scale chi topographic map graph design.The most relatively
The characteristic point of large scale topographical map can meet small percentage chi orthography and (photo control point is similar to figure root
Control) demand.
Based on this principle, it is considered that 1: 500 topographic map characteristic point can meet 1: 1000 and smaller scale chi
The orthography accuracy requirement to mapping base point;1: 1000 topographic map characteristic point can meet 1: 2000 and less ratio
The example chi orthography accuracy requirement to mapping base point;1: 2000 topographic map characteristic point can meet 1: 5000 and more
The small scale orthography accuracy requirement to mapping base point;1: 5000 topographic map characteristic point can meet 1: 10000
And the accuracy requirement that smaller scale chi orthography is to mapping base point, other can be by that analogy.
Summary of the invention
Present invention solves the technical problem that and be just providing a kind of middle small scale based on large scale topographical map
The quick correcting method of projection picture, by data mining, extracts the photo control point information of needs, it is achieved that efficiently
Image rectification.
The present invention solves the technical scheme of above-mentioned technical problem:
Described method comprises the following steps:
A, determine corresponding engineer's scale according to image resolution;
B, extraction are more than building and structures information in the topographic map of image proportional chi;
C, look for building or structures angle point, record this point coordinates;
D, with identical point correct without coordinate orthography, obtain achievement image data.
Still further, more specifically scheme may is that
Described step A comprises the following steps:
A1, image resolution are D rice, then corresponding engineer's scale is 1: 10000D;
If not A2 national standard engineer's scale, be converted to national standard engineer's scale.
Described step A2 comprises the following steps:
If A21 engineer's scale is more than 1: 1000, during less than 1: 500, use 1: 1000 engineer's scale;
If A22 engineer's scale is more than 1: 2000, during less than 1: 1000, use 1: 2000 engineer's scale;
If A23 engineer's scale is more than 1: 2000, during less than 1: 5000, use 1: 5000 engineer's scale;
If A24 engineer's scale is more than 1: 5000, during less than 1: 10000, use 1: 10000 engineer's scale.
Described step B comprises the following steps:
B1, selection are more than the topographic map of this engineer's scale as coordinate reference;
Atural object outside B2, deletion building and structures;
B3, the figure layer of unblock locking, delete simple building and the structures information such as shed;
B4, cleaning figure layer, recalculate graphics areas.
Described step C comprises the following steps:
C1, the topographic map of opening steps B and striograph;
C2, according to being uniformly distributed principle, at striograph and the common ground of topographic map, find out object point in the same manner;
C3, the image coordinate recording object point in the same manner and topographic map respective coordinates.
Described step D comprises the following steps:
D1, same place is carried out compensating computation;
If D2 meets adjustment required precision, enter image rectification link;
If D3 is unsatisfactory for required precision, reject this point, near this point, find new culture point, return step
Rapid C;
D4, image is carried out correct operation, the image data after being corrected;
D5, as requested, framing or according to specified format outputting result data.
The present invention, on the basis of large scale topographical map, by data mining, extracts the photo control point letter of needs
Breath, it is achieved that efficient image rectification;Whole implementation method have be easily achieved, principle is simple, low cost
Advantage, be substantially reduced the image rectification demand to field photo control point.The correcting method of the present invention can be used for comparing
Example chi is that 1: 1000 to 1: 10000 orthographies are corrected.
Accompanying drawing explanation
The present invention is further described below in conjunction with the accompanying drawings:
Fig. 1 is the schematic flow sheet of the inventive method.
Detailed description of the invention
As it is shown in figure 1, be that the present invention middle small scale orthography based on large scale topographical map quickly entangles
Correction method flow chart;Carry out 1: 5000 orthophotoquad below according to 1: 500 topographic maps to correct, fortune
Row platform is Windows 10 operating system on PC;The present invention is described in detail.
The method of the present invention comprises the following steps:
A, determine corresponding engineer's scale according to image resolution;
B, extraction are more than building and structures information in the topographic map of image proportional chi;
C, look for building or structures angle point, record this point coordinates;
D, with identical point correct without coordinate orthography, obtain achievement image data.
For specifically, step A specifically comprises the following steps that
A1, image resolution are 0.46 meter, then corresponding engineer's scale is 1: 4600;
If not A2 national standard engineer's scale, be converted to national standard engineer's scale, according to above reasoning, if
Engineer's scale is more than 1: 2000, during less than 1: 5000, uses 1: 5000 engineer's scale;
Step B specifically comprises the following steps that
B1, using 1: 500 topographic map as reference record, locking building and the figure layer at structures place;
Atural object outside B2, deletion building and structures;
B3, unblock lock layer, delete simple building and the structures information such as shed;
B4, cleaning figure layer, recalculate graphics areas.
Step C specifically comprises the following steps that
C1, topographic map by GlobalMapper14 software (a Map rendering software) opening steps B
And striograph to be corrected, set coordinate projection information;
C2, according to being uniformly distributed principle such as 5*5 pattern, at striograph and the common ground of topographic map, find out
Object point in the same manner;
C3, the image coordinate recording object point in the same manner and topographic map respective coordinates.
Step D specifically comprises the following steps that
D1, by GlobalMapper14 software, same place is carried out compensating computation;
If D2 meets adjustment required precision, enter image rectification link;
If D3 is unsatisfactory for required precision, reject this point, near this point, find new culture point, return step
Rapid C2;
D4, carry out image correcting operation, the image number after being corrected by GlobalMapper14 software
According to;
D5, as requested, framing or according to specified format outputting result data.
Claims (10)
1. the middle small scale quick correcting method of orthography based on large scale topographical map, its feature
Being, described method comprises the following steps:
A, determine corresponding engineer's scale according to image resolution;
B, extraction are more than building and structures information in the topographic map of image proportional chi;
C, look for building or structures angle point, record this point coordinates;
D, with identical point correct without coordinate orthography, obtain achievement image data.
Middle small scale orthography based on large scale topographical map the most according to claim 1 is quick
Correcting method, it is characterised in that described step A comprises the following steps:
A1, image resolution are D rice, then corresponding engineer's scale is 1: 10000D;
If not A2 national standard engineer's scale, be converted to national standard engineer's scale.
Middle small scale orthography based on large scale topographical map the most according to claim 2 is quick
Correcting method, it is characterised in that described step A2 comprises the following steps:
If A21 engineer's scale is more than 1: 1000, during less than 1: 500, use 1: 1000 engineer's scale;
If A22 engineer's scale is more than 1: 2000, during less than 1: 1000, use 1: 2000 engineer's scale;
If A23 engineer's scale is more than 1: 2000, during less than 1: 5000, use 1: 5000 engineer's scale;
If A24 engineer's scale is more than 1: 5000, during less than 1: 10000, use 1: 10000 engineer's scale.
4. just penetrate according to based on large scale topographical map the middle small scale described in claim 1,2 or 3
The quick correcting method of image, it is characterised in that described step B comprises the following steps:
B1, selection are more than the topographic map of this engineer's scale as coordinate reference;
Atural object outside B2, deletion building and structures;
B3, the figure layer of unblock locking, delete simple building and the structures information such as shed;
B4, cleaning figure layer, recalculate graphics areas.
5. just penetrate according to based on large scale topographical map the middle small scale described in claim 1,2 or 3
The quick correcting method of image, it is characterised in that described step C comprises the following steps:
C1, the topographic map of opening steps B and striograph;
C2, according to being uniformly distributed principle, at striograph and the common ground of topographic map, find out object point in the same manner;
C3, the image coordinate recording object point in the same manner and topographic map respective coordinates.
Middle small scale orthography based on large scale topographical map the most according to claim 4 is quick
Correcting method, it is characterised in that described step C comprises the following steps:
C1, the topographic map of opening steps B and striograph;
C2, according to being uniformly distributed principle, at striograph and the common ground of topographic map, find out object point in the same manner;
C3, the image coordinate recording object point in the same manner and topographic map respective coordinates.
7. just penetrate according to based on large scale topographical map the middle small scale described in claim 1,2 or 3
The quick correcting method of image, it is characterised in that described step D comprises the following steps:
D1, same place is carried out compensating computation;
If D2 meets adjustment required precision, enter image rectification link;
If D3 is unsatisfactory for required precision, reject this point, near this point, find new culture point, return step
Rapid C;
D4, image is carried out correct operation, the image data after being corrected;
D5, as requested, framing or according to specified format outputting result data.
Middle small scale orthography based on large scale topographical map the most according to claim 4 is quick
Correcting method, it is characterised in that described step D comprises the following steps:
D1, same place is carried out compensating computation;
If D2 meets adjustment required precision, enter image rectification link;
If D3 is unsatisfactory for required precision, reject this point, near this point, find new culture point, return step
Rapid C;
D4, image is carried out correct operation, the image data after being corrected;
D5, as requested, framing or according to specified format outputting result data.
Middle small scale orthography based on large scale topographical map the most according to claim 5 is quick
Correcting method, it is characterised in that described step D comprises the following steps:
D1, same place is carried out compensating computation;
If D2 meets adjustment required precision, enter image rectification link;
If D3 is unsatisfactory for required precision, reject this point, near this point, find new culture point, return step
Rapid C;
D4, image is carried out correct operation, the image data after being corrected;
D5, as requested, framing or according to specified format outputting result data.
Middle small scale orthography based on large scale topographical map the most according to claim 6 is fast
Speed correcting method, it is characterised in that described step D comprises the following steps:
D1, same place is carried out compensating computation;
If D2 meets adjustment required precision, enter image rectification link;
If D3 is unsatisfactory for required precision, reject this point, near this point, find new culture point, return step
Rapid C;
D4, image is carried out correct operation, the image data after being corrected;
D5, as requested, framing or according to specified format outputting result data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610196810.8A CN105894471A (en) | 2016-03-30 | 2016-03-30 | Medium-small scale orthoimage rapid correction method based on large-scale topographic map |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610196810.8A CN105894471A (en) | 2016-03-30 | 2016-03-30 | Medium-small scale orthoimage rapid correction method based on large-scale topographic map |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105894471A true CN105894471A (en) | 2016-08-24 |
Family
ID=57011978
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610196810.8A Pending CN105894471A (en) | 2016-03-30 | 2016-03-30 | Medium-small scale orthoimage rapid correction method based on large-scale topographic map |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105894471A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106651927A (en) * | 2016-12-30 | 2017-05-10 | 北京航天泰坦科技股份有限公司 | Homonymy point gross error elimination method matched with ortho-image mosaic edge joining |
CN109063711A (en) * | 2018-07-06 | 2018-12-21 | 航天星图科技(北京)有限公司 | A kind of satellite image based on LLTS frame just penetrates correct algorithm |
CN109727189A (en) * | 2018-11-29 | 2019-05-07 | 广东中达规谷地信科技有限公司 | A kind of image rectification method based on Spatial Data Analysis |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102193280A (en) * | 2011-05-04 | 2011-09-21 | 中国人民解放军空军航空大学 | Equal scaling optical correcting method for inclined picture image |
CN102368259A (en) * | 2011-10-10 | 2012-03-07 | 北京百度网讯科技有限公司 | Electronic map data storage and query method, device and system |
CN104574512A (en) * | 2014-12-29 | 2015-04-29 | 董有福 | Multi-scale DEM (digital elevation model) construction method considering topographical semantic information |
US20150193630A1 (en) * | 2002-03-16 | 2015-07-09 | The Paradigm Alliance, Inc. | Method, system, and program for an improved enterprise spatial system |
-
2016
- 2016-03-30 CN CN201610196810.8A patent/CN105894471A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150193630A1 (en) * | 2002-03-16 | 2015-07-09 | The Paradigm Alliance, Inc. | Method, system, and program for an improved enterprise spatial system |
CN102193280A (en) * | 2011-05-04 | 2011-09-21 | 中国人民解放军空军航空大学 | Equal scaling optical correcting method for inclined picture image |
CN102368259A (en) * | 2011-10-10 | 2012-03-07 | 北京百度网讯科技有限公司 | Electronic map data storage and query method, device and system |
CN104574512A (en) * | 2014-12-29 | 2015-04-29 | 董有福 | Multi-scale DEM (digital elevation model) construction method considering topographical semantic information |
Non-Patent Citations (1)
Title |
---|
宣文玲: "以中小比例尺地形图为基准的高分辨率遥感影像定位方法研究", 《中国优秀博硕士学位论文全文数据库 (博士) 基础科学辑》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106651927A (en) * | 2016-12-30 | 2017-05-10 | 北京航天泰坦科技股份有限公司 | Homonymy point gross error elimination method matched with ortho-image mosaic edge joining |
CN106651927B (en) * | 2016-12-30 | 2020-03-24 | 北京航天泰坦科技股份有限公司 | Homonymous point gross error eliminating method for matching embedded edges of orthophoto images |
CN109063711A (en) * | 2018-07-06 | 2018-12-21 | 航天星图科技(北京)有限公司 | A kind of satellite image based on LLTS frame just penetrates correct algorithm |
CN109063711B (en) * | 2018-07-06 | 2021-10-29 | 中科星图股份有限公司 | Satellite image orthorectification algorithm based on LLTS framework |
CN109727189A (en) * | 2018-11-29 | 2019-05-07 | 广东中达规谷地信科技有限公司 | A kind of image rectification method based on Spatial Data Analysis |
CN109727189B (en) * | 2018-11-29 | 2022-12-23 | 广东中达规谷地信科技有限公司 | Image correction method based on spatial analysis technology |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP7068989B2 (en) | How to create a grid map and equipment | |
CN102506824B (en) | Method for generating digital orthophoto map (DOM) by urban low altitude unmanned aerial vehicle | |
CN109710724B (en) | A kind of method and apparatus of building point cloud map | |
US7376284B2 (en) | System, computer program and method for 3D object measurement, modeling and mapping from single imagery | |
KR101965965B1 (en) | A method of automatic geometric correction of digital elevation model made from satellite images and provided rpc | |
CN103823981A (en) | DEM (Digital Elevation Model)-assisted satellite image block adjustment method | |
CN109086286B (en) | Method for producing and publishing color topographic map | |
CN112785708B (en) | Method, equipment and storage medium for building model singulation | |
WO2021212477A1 (en) | Point cloud data correction method, and related device | |
CN111080682A (en) | Point cloud data registration method and device | |
CN105894471A (en) | Medium-small scale orthoimage rapid correction method based on large-scale topographic map | |
CN117321638A (en) | Correcting or expanding existing high-definition maps | |
CN115471619A (en) | City three-dimensional model construction method based on stereo imaging high-resolution satellite image | |
CN103700063A (en) | Integrated topographic map quick forming method based on high-definition satellite image | |
CN111696156A (en) | Control point-free remote sensing image coordinate conversion method | |
CN107504959B (en) | Method for measuring house wall base outline by utilizing inclined aerial image | |
CN111598930B (en) | Color point cloud generation method and device and terminal equipment | |
CN113592951A (en) | Method and device for calibrating external parameters of vehicle-road cooperative middle-road side camera and electronic equipment | |
CN113436233A (en) | Registration method and device of automatic driving vehicle, electronic equipment and vehicle | |
CN109405834B (en) | Digital map-based shielding angle real-time resolving method and system | |
CN114155167B (en) | Automatic rapid correction method based on-line remote sensing satellite image | |
CN114004949A (en) | Airborne point cloud assisted mobile measurement system arrangement parameter calibration method and system | |
Lindenthal et al. | Airborne LIDAR: A fully-automated self-calibration procedure | |
JP2003141507A (en) | Precise geometric correction method for landsat tm image and precise geometric correction method for satellite image | |
CN108413989B (en) | Distortion correction method based on image re-projection |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160824 |
|
RJ01 | Rejection of invention patent application after publication |