CN106910209A - A kind of full-automatic quick CBERS 2 grades of product data waveband registration methods of CCD camera - Google Patents
A kind of full-automatic quick CBERS 2 grades of product data waveband registration methods of CCD camera Download PDFInfo
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- CN106910209A CN106910209A CN201610796329.2A CN201610796329A CN106910209A CN 106910209 A CN106910209 A CN 106910209A CN 201610796329 A CN201610796329 A CN 201610796329A CN 106910209 A CN106910209 A CN 106910209A
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Abstract
The invention discloses a kind of full-automatic quick CBERS 2 grades of product data waveband registration methods of CCD camera, the method realizes the autoregistration of wave band 1 and wave band 5 and wave band 3 on the basis of the wave band of CBERS ccd images 3.The spikes interference for eliminating 2 grades of product data black is stretched by automating histogram, characteristic point is extracted using the method for Harris Corner Detections, similitude matching is carried out to characteristic point as " distance " of two characteristic points using two norms of characteristic vector difference, transformation parameter is asked for using affine Transform Model, band image resampling subject to registration is carried out using bilinear interpolation method.This method can accomplish full automatic treatment, and processing speed is better than 1 minute on the computer of mainstream configuration.
Description
Technical field
The present invention relates to a kind of remote sensing satellite image wave band method, more particularly to a kind of full-automatic quick CBERS CCD
2 grades of product data waveband registration methods of camera.Belong to technical field of remote sensing image processing.
Background technology
Registration accuracy between remote sensing images wave band not only has influence on the geometry location and the precision into figure, Er Qieying of image
Ring the precision that the measurements such as the accuracy to terrain classification, the delineation on atural object border, atural object area and length and geometry chart.
China-Brazil Earth Resources Satellite (CBERS) is by China and Brazilian two countries joint investment, the satellite of joint research and development.CCD phases
Machine is that the main sensors of the CBERS cameras has 5 wave bands, and the characteristic of each wave band is as shown in table 1.
The CBERS CCD camera band characteristics of table 1
| Wave band number | Spectral region (μm) | Spatial resolution (m) |
| B1 | 0.45~0.52 | 20 |
| B2 | 0.52~0.59 | 20 |
| B3 | 0.63~0.69 | 20 |
| B4 | 0.77~0.89 | 20 |
| B5 | 0.51~0.73 | 20 |
Due to being passed under 2 passages of CBERS Satellite CCDs multispectral image point, wave band 2,3 and 4 is passed under passage l, its medium wave band 3
Data Identification is 3A, and passage 2 passes down 1,3 and 5, and its Data Identification of medium wave band 3 is 3B.The data 5 of Ground Processing System distribution
Wave band be 1,2,3A, 4 and 5.
In 2 grades of the CBERS ccd images wave band of product 5, wave band 2,3 and 4 has a registration accuracy higher, and the He of wave band 1
Wave band 5 is larger with the registration error of wave band 2,3 and 4, and registration error can reach tens levels of pixel, and registration sometimes
Error has not regulation.
In the investigation work of Second National wetland resource, according to《National wetland resource technique for investigation code》Requirement,
Using CBERS-1 CCD data CBERS ccd images as main remotely-sensed data source.Registration accuracy problem between wave band turns into system
One of important restriction factor that about CBERS ccd images are applied in the investigation work of Second National wetland resource.
Traditional image registration requirement artificial selection control point, solves according to the corresponding relation between control point and becomes mold changing
Type.This method needs substantial amounts of artificial participation, and especially in remote sensing image registration field, this inefficient method for registering is more next
Can not more meet and be actually needed, therefore in the urgent need to developing full automatic image registration techniques.For many years, researcher is from difference
Application field and angle propose different method for registering images.Generally speaking, current method for registering is broadly divided into two kinds：
Based on region and feature based.
Method based on region is mainly using the relation between image subject to registration and the grey scale pixel value of reference picture come real
Existing image registration.This method is utilized by defining the similarity measurement between gray value, such as gray scale difference, cross-correlation, normalization
Cross-correlation (NCC), determine spatial transform relation with the extreme value of difference plane.The method of feature based is examined by feature
Survey, feature description, four steps of characteristic matching and model parameter estimation complete the matching of image.The figure that this method passes through extraction
Notable feature (such as Harris angle points, DOG extreme points, border, line, region contour etc.) as in, and by building partial descriptions
Son (such as border joined mark, not bending moment, SIFT descriptions) etc., by comparing the difference between description, sets up correct match point,
Transformation model parameter is calculated with the spatial relation between registration point, so as to complete the registration of image.
The investigation remote Sensing Interpretation work of Second National wetland resource is related to a few thousand sheets CBERS ccd images, and development is a kind of complete
The automatic and fast CBERS ccd image waveband registration methods of processing speed, between efficiently solving the wave band of CBERS ccd images
Registration problems be carry out Second National wetland resource investigation important foundation sex work.
The content of the invention
The present invention proposes a kind of full-automatic quick CBERS 2 grades of product data waveband registration methods of CCD camera, the method
On the basis of wave band 3, realize that wave band 1 is registering with wave band 3 with the registering and wave band 5 of wave band 3.
The present invention proposes a kind of full-automatic quick CBERS 2 grades of product data waveband registration methods of CCD camera.
The method belongs to the method for feature based, can automatically realize registration between CBERS ccd image wave band registrations, without
Manual intervention, and whole scape image registration work can be completed in 1 minute.
Brief description of the drawings
The full-automatic quick CBERS 2 grades of product data waveband registration method flow charts of CCD camera of Fig. 1；
Contrast schematic diagram before and after Fig. 2 a-2b registrations.
Specific embodiment
The present invention is described in detail below, to further appreciate that the purpose of the present invention, scheme and effect.
The present invention proposes a kind of full-automatic quick CBERS 2 grades of product data waveband registration methods of CCD camera, the method
On the basis of wave band 3, realize that wave band 1 is registering with wave band 3 with the registering and wave band 5 of wave band 3.
CBERS ccd images are in addition to wave band 4, and other band images are all more gloomy, and the histogram of original image is all concentrated
In very narrow region；And for mending the presence on side due to 2 grades of product data black, there is a spike at 0, can be to feature
Point is extracted and forms interference, therefore before registration, column hisgram conversion need to be entered to original image.The mathematical description of this process
For：
The key of automation histogram stretching is suitable a, b value of selection, can using medium filtering stiffened Threshold segmentation
To obtain.
After column hisgram stretching is entered, conventional method for registering is used, i.e.,：Extraction characteristic point, matching characteristic point,
Calculate transformation relation.
Its concrete operation step is as follows：
Step 1：Automation histogram stretching.
Step 2：Characteristic point is extracted using the method for Harris Corner Detections.Harris angle points are actually based on gray scale ladder
Degree, therefore have certain robustness for local uniform grey scale change.
Step 3：Characteristic value similitude according to characteristic point is matched, and it is special that " distance " of two characteristic points is defined as into it
Levy two norms of vector difference；Match point is screened using following constraint simultaneously：Distance to nearest neighbor point is divided by the second neighbour
The distance of point is more than certain threshold value.Mispairing point can be greatly reduced by such screening, is mitigated next step and is calculated transformation relation
When computation burden.
Step 4：Using affine Transform Model, the model has 6 parameters.The match point logarithm that general back is obtained is much
More than 6, and some mispairing (outlier) are wherein still suffered from, therefore using RANSAC methods come fitting transformation model.
Step 5：Enter line translation to image, resampling uses bilinear interpolation method.
Step 6：Step 3 to step 5 is performed respectively for wave band 1- wave bands 3, wave band 5- wave bands 3.
Technical scheme is further illustrated with reference to specific embodiment.
By taking the CBERS 02B ccd images of areas of Beijing domain as an example, full-automatic quick CBERS 2 grades of products of CCD camera are illustrated
The concrete operation step of data waveband registration method.The width image pixel number is 7078*7070.
Step 10：Automation histogram stretching is carried out to wave band 1,3,5.
Step 20：Characteristic point is extracted using the method for Harris Corner Detections.
Step 30：Characteristic value similitude according to characteristic point carries out wave band 1- wave bands 3 and matches.
Step 40：Ask for the affine Transform Model parameter of wave band 1- wave bands 3.
Step 50：Line translation is entered to the image of wave band 1, resampling uses bilinear interpolation method.
Step 60：Characteristic value similitude according to characteristic point carries out wave band 5- wave bands 3 and matches.
Step 70：Ask for the affine Transform Model parameter of wave band 5- wave bands 3.
Step 80：Line translation is entered to the image of wave band 5, resampling uses bilinear interpolation method.
In order to the precision to the inventive method is estimated, Fig. 2 gives to be carried out before registration and after registration using this method
Comparing result.
From Fig. 2 a-2b as can be seen that after this method carries out registration, picture quality is substantially improved.
On the computer of Intel i7 2.4G CPU, 16GB internal memories, the whole scape image of resolution ratio 7078*7070 is performed
Registration, takes 23 seconds.
Although the present invention is disclosed above with embodiment, so it is not limited to the present invention, any art
Middle tool usually intellectual, it is without departing from the spirit and scope of the present invention, therefore of the invention when a little change and retouching can be made
Protection domain when being defined depending on the appended claims protection domain person of defining.
Claims (2)
1. a kind of full-automatic quick CBERS 2 grades of product data waveband registration methods of CCD camera, it is characterised in that including as follows
Step：
Step 1：Stretched by automating histogram, eliminate the spike interference of 2 grades of product data black；
Step 2：Characteristic point is extracted using the method for Harris Corner Detections；
Step 3：Using two norms of characteristic vector difference as two " distance " of the characteristic point to the characteristic value of the characteristic point
Similitude is matched；
Step 4：Set up affine Transform Model and ask for transformation parameter；
Step 5：Line translation is entered to image, band image resampling subject to registration is carried out using bilinear interpolation method；
Step 6：Step 3 to step 5 is performed respectively for wave band 1- wave bands 3, wave band 5- wave bands 3.
2. full-automatic quick CBERS 2 grades of product data waveband registration methods of CCD camera according to claim 1, it is special
Levy and be, the step 3 is further included：It is also to screen match point using following constraint simultaneously to perform the step 3：To most
The distance of Neighbor Points is more than certain threshold value divided by the distance to the second Neighbor Points.
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| CN102609918A (en) * | 2012-02-15 | 2012-07-25 | 国家海洋局第二海洋研究所 | Image characteristic registration based geometrical fine correction method for aviation multispectral remote sensing image |
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| CN102609918A (en) * | 2012-02-15 | 2012-07-25 | 国家海洋局第二海洋研究所 | Image characteristic registration based geometrical fine correction method for aviation multispectral remote sensing image |
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Application publication date: 20170630 |