CN104282006A - High-resolution image splicing method based on CE-2 data - Google Patents
High-resolution image splicing method based on CE-2 data Download PDFInfo
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Abstract
The invention discloses a high-resolution image splicing method and device based on CE-2 data. The method includes the steps that 101, high-resolution images are geometrically corrected through DOM images of the 1.5 m resolution of CE-2, and the high-resolution images are accurately positioned on the DOM images of the 1.5 m resolution of the CE-2, wherein multiple high-resolution images are provided; 102, with a DOM of the 7 m resolution of the CE-2 serving as a hue basis, hue adjustment is conducted on the geometrically-corrected high-resolution images through a linear transformation method based on the histogram matching thought; 103, on the premise that ground feature integrity is guaranteed, the high-resolution images are seamlessly spliced. According to the method and device, based on the CE-2 low-resolution data, high-resolution image data are seamlessly spliced, and then high-resolution moon image data which are accurately positioned are acquired.
Description
Technical field
The invention belongs to moon remote sensing image image process field, be specifically related to one and realize meter level resolution image (as U.S.'s Lunar Reconnaissance Orbiter camera narrow angle camera Lunar Reconnaissance Orbiter Camera based on Chang'e-2 DOM data, Narrow Angle Camera, hereinafter referred to as LROC-NAC) joining method, mainly comprise geometric correction and hue adjustment.
Background technology
LROC-NAC image resolution reaches as high as 0.5m, is mainly used in small scale landforms imaging detection and improves the security of moon land.But LROC-NAC is not the same at the image-forming condition (as orbit altitude, sun altitude and position angle etc.) of different time, LROC-NAC image is caused to there is larger difference in location, resolution, tone etc., cannot direct splicing, need to carry out geometric correction and hue adjustment to image.Equally, except LROC-NAC image, also there is same problem in other meter level resolution images.
Geometric correction mainly comprises manual correction and automatically corrects.Artificial geometric correction has time-consuming, effort, inefficiency shortcoming, and automatic correct algorithm can realize the geometry location of image in batches, and its crucial part is to obtain image reference mark by matching algorithm.In order to realize the seamless spliced of image, image should have unified tone, needs the feature according to image, selects suitable method to carry out hue adjustment to image.
Therefore, be necessary to provide a kind of meter level resolution image that realizes automatically to correct the method with hue adjustment, realize image seamless spliced.
Summary of the invention
In view of this, the present invention proposes a kind of high resolution image joining method based on Chang'e-2 data and device, with according to the Chang'e-2 data acquisition high resolving power of low resolution and the moon image joint data of accurate positioning.
The present invention proposes a kind of high resolution image joining method based on Chang'e-2 data, it comprises for this reason:
Step 101: utilize the 1.5m resolution DOM image of CE-2 to carry out geometric correction to high resolution image, realizes the accurate location of described high resolution image on the 1.5m resolution DOM image of CE-2; Wherein, described high resolution image comprises several images;
Step 102: with the 7m resolution DOM of CE-2 for tone basis, adopt the linear transformation method based on Histogram Matching thought to carry out hue adjustment to the high resolution image after geometric correction;
Step 103: complete the seamless spliced of high resolution image under the prerequisite guaranteeing atural object integrality.
The invention allows for a kind of high resolution image splicing apparatus based on Chang'e-2 data, it comprises:
Correct module: utilize the 1.5m resolution DOM image of CE-2 to carry out geometric correction to high resolution image, realize the accurate location of described high resolution image on the 1.5m resolution DOM image of CE-2; Wherein, described high resolution image comprises several images;
Tone adjusting section: with the 7m resolution DOM of CE-2 for tone basis, adopt the linear transformation method based on Histogram Matching thought to carry out hue adjustment to the high resolution image after geometric correction;
Concatenation module: complete the seamless spliced of high resolution image under the prerequisite guaranteeing atural object integrality.
The present invention is according to LROC-NAC coordinate information and image tone feature, propose to utilize the CE-2 high resolving power DOM of 1.5m in Chang'e-2 data as geometry location reference, in all standing Chang'e-2 data, the CE-2 high resolving power DOM of 7m realizes splicing to other high resolution images as the thought of attribute (tone) reference.High resolution image data can, based on Chang'e-2 lower resolution data, be carried out seamless spliced by the present invention, obtain high resolving power and the moon image data of accurate positioning.
Accompanying drawing explanation
Fig. 1 realizes meter level resolution image joining method process flow diagram based on Chang'e-2 DOM data in the present invention;
Fig. 2 (a) is the result schematic diagram utilizing the present invention to mate CE-2 and M183661683RC;
Fig. 2 (b) is the result schematic diagram utilizing the present invention to mate CE-2 and M1116664800RC;
Fig. 3 (a) is the 7m resolution DOM schematic diagram of CE-3 touch-down zone CE-2;
Fig. 3 (b) is the LROC-NAC splicing image schematic diagram without hue adjustment;
Fig. 3 (c) utilizes the present invention LROC-NAC after hue adjustment to splice image schematic diagram.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with specific embodiment, and with reference to accompanying drawing, the present invention is described in further detail.
The embodiment of the present invention proposes one and realizes meter level resolution image joining method based on Chang'e-2 DOM data.Illustrate for LROC-NAC high resolution image in the present embodiment, certainly, said method of the present invention can also be applied in the splicing of other high resolution images.As shown in Figure 1, the method comprises:
Step 101: utilize the 1.5m resolution DOM image of CE-2 to carry out geometric correction to LROC-NAC image, realizes the accurate location of described high resolution image on the 1.5m resolution DOM image of CE-2;
The Chang'e-2 data adopted in the present invention comprise the DOM of 7m and 1.5m resolution CE-2, as geometry and hue adjustment base map; The LROC-NAC image that NASA issues and index data (see http://lroc.sese.asu.edu/data/);
Particularly, first the coordinate data provided according to LROC-NAC index file is carried out geometry to image and is slightly corrected (just locating), again with the 1.5m resolution DOM of CE-2 for base map, adopt the Auto-matching of SIFT algorithm realization LROC-NAC image, carry out image geometry essence and correct; Because the location in LROC-NAC image data is inaccurate, therefore need accurately to be located it by the mode of slightly correcting and essence is corrected.
In order to realize correcting the essence of LROC-NAC image, first need its approximate location on CE-2 image clear and definite.The latitude and longitude coordinates of four angle points that the present invention utilizes LROC-NAC index file to provide for every scape image and central point, by ENVI/IDL secondary development, latitude and longitude coordinates on four angle points and the ranks coordinate of central point and the 1.5m resolution DOM of CE-2 is mated, it is slightly corrected, realizes the Primary Location of LROC-NAC image in the 1.5m resolution DOM of CE-2.
In order to obtain the reference mark of image and CE-2 reference base map in essence is corrected, the present invention adopts SIFT algorithm, to 1.5 meters of resolution images of LROC-NAC image and CE-2 with 16 × 16 pixel size windows for benchmark, the region of getting (4*4) pixel in the window forms a Seed Points, 4*4 Seed Points altogether, the gradient accumulated value in 8 directions is calculated respectively, final structure 128 dimension SIFT feature vector in each Seed Points region.Nearest neighbor algorithm is finally adopted to search the most contiguous in 1.5 meters of resolution images of CE-2 of each unique point of LROC-NAC image, carry out Feature Points Matching, the result of coupling is reference mark undetermined, consistency check is carried out to described reference mark undetermined, reject matching error point, obtain the reference mark of exact matching, correct to realize essence.
In the geometric exact correction of reality, the present invention is in order to overcome the defect of 1.5m resolution DOM clear area without reference mark of CE-2, also using the LROC-NAC that corrected as control base map, correct not correcting LROC_NAC image, that is: SIFT algorithm is preferentially utilized, both sides (being preferably long limit) all there is overlapping LROC_NAC image to mate with CE-2 image with CE_2 image, reject error matching points, utilize match point to realize LROC_NAC image essence to correct, after geometric exact correction, this LROC-NAC image is considered as controlling base map, blank to make up CE-2 base map, carry out essence to all the other LROC_NAC images to correct.Through above step, finally realize the geometric exact correction to all LROC-NAC images.
Step 102: with the 7m resolution DOM of CE-2 for tone basis, adopts the linear transformation method based on Histogram Matching thought to carry out hue adjustment to the LROC-NAC image after correction;
In actual experiment, by the intensity profile analysis to single width LROC-NAC image, result shows its gray scale and belongs to single peak simple distribution, and in image, tonal variation is little.To areal image analysing computer, between image, tone difference is obvious, and histogrammic peak value is not quite similar.Sun altitude when its main cause is image capturing, detector attitude angle are not quite similar.
Therefore, according to the Adaptability Analysis of These characteristics and picture tone method of adjustment, the present invention adopts linear transformation to carry out hue adjustment to LROC-NAC image.In order to solve linear transformation parameter, consider the similarity of LROC-NAC image texture and intensity profile and base map, the present invention proposes to build linear transformation parametric solution method based on Histogram Matching thought.Because the 7m resolution DOM of CE-2 achieves all standing in touch-down zone, tone continuously smooth, the present invention is reference image using it as hue adjustment.First this hue adjusting method uses ENVI statistical tool, analyzes the number of each gray-scale value of 7m resolution DOM image of CE-2, and calculates the cumulative percentage (being namely less than or equal to all pixel numbers/pixel sum of this gray-scale value) of each gray-scale value.Then Histogram function in IDL (reading image histogram) is utilized to ask for LROC-NAC image greyscale statistics, calculate gray scale cumulative percentage, then two kinds of image cumulative percentage results are compared, the gray-scale value that under obtaining identical cumulative percentage, the 7m resolution DOM image of image to be adjusted (LROC-NAC) and CE-2 is corresponding, record respectively, as Regress function (linear regression function) input parameter, ask for Serial regulation function parameter, build Serial regulation function, finally utilize the preliminary adjustment of described Serial regulation function realization to LROC-NAC tone, in above-mentioned hue adjusting method, LROC-NAC image greyscale histogram obtains, cumulative percentage calculates, two kinds of image cumulative percentage compare, gray-scale value record, linear regression, parameter is asked for and tone tentatively adjusts all by ENVI/IDL programming realization, other modes common in this area can certainly be adopted to obtain, above-mentioned implementation procedure has much common mode in the art, do not introduce in detail at this.Image tone tentatively adjusts that to realize formula as follows:
y＝ax+b
A, b are Serial regulation function parameter, are tried to achieve by Regress regression function, and x is LROC-NAC raw video gray-scale value, and y is LROC-NAC image greyscale value after preliminary adjustment.
LROC-NAC image greyscale scope after above-mentioned tone tentatively adjusts is become near 0.0-255.0 from 0-4500.In order to keep image detail (i.e. radiometric resolution), needing the image after to adjustment to stretch, and storing with 16bit.In order to the integral color of image is consistent after ensureing to stretch, the present invention takes the mode controlling image greyscale average to realize.By experiment, the present invention gets the average gray of k=1000 as image after adjustment, and stretching formula is as follows:
y＝k(ax+b)/mean
Wherein, y is the final gray-scale value of LROC-NAC image after adjustment; A, b are above-mentioned Serial regulation function parameter, and k is the gray average of LROC-NAC image after adjustment, are preferably the gray average that 1000, mean is LROC-NAC image after preliminary adjustment.
Step 103: finally complete the seamless spliced of LROC-NAC high resolution image under the prerequisite guaranteeing atural object integrality.
By analyzing, LROC-NAC image after geometric correction and hue adjustment, if directly spliced, can find out that image has obvious splicing line at edge fit place.Its main cause is that hue adjustment algorithm can not be consistent by the complete furnishing of tone at image edge fit place, in addition due to illumination reason, as edge fit place impact crater the morning and afternoon its shade completely inconsistent, level and smooth edge fit cannot be realized by hue adjustment.For this reason, the present invention is to avoid the integrality of destruction impact crater for principle as far as possible, utilize in ENVI and select the method for region of interest manually to delineate splicing line, remove the incomplete impact crater in overlay region, retain complete impact crater, utilize the length from splicing line be 10 emergence weight realize the seamless smooth registration of image.Certainly, this also can pass through other similar instruments, carries out the seamless spliced of image.
The splicing line of the adjacent image of manual selection, keeps the integrality of impact crater as far as possible, and what realize image is seamless spliced.
With a specific embodiment, the high resolving power LROC-NAC image splicing method based on Chang'e-2 data that the present invention proposes is described below.The method is in order to realize the seamless spliced of image, and wherein technological difficulties are mainly reflected in following two aspects: the Auto-matching problem of the CE-2 image of the first, LROC-NAC image and 1.5m.The second, LROC-NAC image tone adjustment implementation method problem.
For the goddess in the moon's No. three preliminary election touch-down zone high resolving power LROC-NAC image joints.
1) Data Collection.Respectively expand to east-west direction the CE-2 image that 1.5 ° are collected 4 rails (235,2745,236,2746) 1.5m resolution, the CE-2 image of 7m resolution and 47 scape LROC-NAC images with some position, land (19.51 ° of W, 44.12 ° of N).
2) geometric correction.According to five point coordinate information that NASA provides, to LROC-NAC image, in ENVI/IDL environment, image rectification function (ENVI_REGISTER_DOIT function) is utilized slightly to correct the geometry that LROC-NAC image realizes batch.Then in Matlab, SIFT algorithm is adopted, first both sides and CE-2 image are all had the LROC-NAC image of overlapping thick correction and Primary Location image) carry out homotopy mapping with the 1.5m resolution DOM image of CE-2, and utilizing cubic polynomial and the geometric exact correction of convolution sample mode realization to LROC-NAC image, the LROC-NAC image that recycling essence is corrected and CE-2 image carry out the same geometric exact correction to all the other thick correction LROC-NAC images.
As shown in Figure 2, the 1.5m image that (a) is CE-2 and LROC-NAC image (name is M183661683RC, resolution 1.567m) Image Matching result, mate 156 unique points altogether, and coupling accuracy is 100%; B 1.5m image that () is CE-2 and LROC-NAC image (name is M1116664800RC, and resolution is 1.089m) matching result, mate 101 unique points altogether, and coupling accuracy is 87.1%.Matching error mainly causes due to the resolution difference of two width images, and the present invention adopts RANSAC (Random Sample Consecsus, random sampling is consistent) robust method, through Geometrical consistency inspection, rejects error matching points.
3) hue adjustment.In order to ensure the consistance of the 7m resolution DOM of LROC-NAC image tone and CE-2, first correct result according to essence, extract the 7m resolution DOM of same coverage area CE-2.In IDL environment, adopt hue adjustment algorithm, one by one the linear function parameter of 47 scape images is resolved, and utilize function to carry out batch hue adjustment to 47 scape images.
4) image joint.Because LROC-NAC image itself exists overexposure or the overweight problem of shade, the image effect had after hue adjustment is undesirable, ensureing under the prerequisite that selected areas covers completely, artificial visual interpretation is rejected still due to overexposure or the large image of shade overweight generation east side tone variation after hue adjustment, and the present invention finally selects 41 scape images to splice.In order to overcome the imperfection of the inconsistent and image border atural object of illumination, guaranteeing seamless the inlaying continuously of dropping zone LROC-NAC image, during splicing, adopting manual mode to select splicing line.Splicing line, along the border of atural object, forbids the centre through atural object, and adopts 10 pixels as emergence scope, and what finally realize image is seamless spliced, shown in splicing result accompanying drawing 3.
Above-described specific embodiment; object of the present invention, technical scheme and beneficial effect are further described; be understood that; the foregoing is only specific embodiments of the invention; be not limited to the present invention; within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1., based on a high resolution image joining method for Chang'e-2 data, it comprises:
Step 101: utilize the 1.5m resolution DOM image of CE-2 to carry out geometric correction to high resolution image, realizes the accurate location of described high resolution image on the 1.5m resolution DOM image of CE-2; Wherein, described high resolution image comprises several images;
Step 102: with the 7m resolution DOM of CE-2 for tone basis, adopt the linear transformation method based on Histogram Matching thought to carry out hue adjustment to the high resolution image after geometric correction;
Step 103: complete the seamless spliced of high resolution image under the prerequisite guaranteeing atural object integrality.
2. the method for claim 1, wherein step 101 specifically comprises:
Step 1011: utilize the coordinate points that in high resolution image, every width image provides, it is mated with the latitude and longitude coordinates on the 1.5m resolution DOM of CE-2, obtain the rough position of every width image in the 1.5m resolution DOM of CE-2 in high resolution image, realize Primary Location;
Step 1012: on the basis of Primary Location, adopt SIFT algorithm, with the J.5m resolution DOM of CE-2 for controlling base map, calculate the SIFT feature vector of every width image relevant position in the 1.5m resolution DOM of CE-2 and high resolution image, and adopt nearest neighbor algorithm to search the most contiguous in 1.5 meters of resolution images of CE-2 of each unique point in high resolution image, carry out Feature Points Matching, consistency check is carried out to matching result, reject matching error point, realize the accurate location of described high resolution image on the 1.5m resolution DOM image of CE-2.
3. method as claimed in claim 2, wherein, in step 1012, the high resolution image after accurately locating can also be utilized as control base map, it is mated without the high resolution image after accurate location with other, the accurate location of other high resolution images described on the 1.5m resolution DOM image of CE-2.
4. the method for claim 1, wherein in step 102 using the 7m resolution DOM of described CE-2 as with reference to image, hue adjustment is carried out to described high resolution image.
5. method as claimed in claim 4, wherein, step 102 specifically comprises:
Step 1021: adopt the linear transformation method based on Histogram Matching thought to carry out preliminary hue adjustment to described high resolution image;
Step 1022: stretch to the high resolution image after preliminary hue adjustment, obtains the high resolution image after final hue adjustment.
6. method as claimed in claim 5, wherein, step 1021 comprises further:
Step 10211: the number analyzing each gray-scale value in the 7m resolution DOM image of CE-2, and calculate the cumulative percentage of each gray-scale value;
Step 10212: the gray-scale statistical result asking for described high resolution image, and calculate the cumulative percentage of each gray-scale value;
Step 10213: the cumulative percentage of each gray-scale value in the cumulative percentage of each gray-scale value and described high resolution image in the 7m resolution DOM image of more described CE-2, gray-scale value corresponding under obtaining identical cumulative percentage;
Step 10214: using the input parameter of the gray-scale value of described correspondence as linear regression function, builds Serial regulation function, obtains Serial regulation parameter;
Step 10215: utilize described Serial regulation parameter to carry out tone to described high resolution image and tentatively adjust.
7. method as claimed in claim 6, wherein, in step 10215, carry out tone by following formula and tentatively adjust:
y＝ax+b
Wherein, a, b are Serial regulation function parameter, and x is the gray-scale value of described high resolution image, and y is that tone tentatively adjusts rear high resolution image gray-scale value.
8. method as claimed in claim 5, wherein, utilizes following formula to stretch to the high resolution image after tone tentatively adjusts in step 1022:
y＝k(ax+b)/mean
Wherein, y is the rear final gray-scale value of high resolution image that stretches; A, b are described Serial regulation parameter, and k is the gray average of high resolution image after adjustment, and mean is the gray average of LROC-NAC image after preliminary adjustment.
9. the method for claim 1, wherein described high resolution image is LROC-NAC image.
10., based on a high resolution image splicing apparatus for Chang'e-2 data, it comprises:
Correct module: utilize the 1.5m resolution DOM image of CE-2 to carry out geometric correction to high resolution image, realize the accurate location of described high resolution image on the 1.5m resolution DOM image of CE-2; Wherein, described high resolution image comprises several images;
Tone adjusting section: with the 7m resolution DOM of CE-2 for tone basis, adopt the linear transformation method based on Histogram Matching thought to carry out hue adjustment to the high resolution image after geometric correction;
Concatenation module: complete the seamless spliced of high resolution image under the prerequisite guaranteeing atural object integrality.
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| CN110555804A (en) * | 2018-05-31 | 2019-12-10 | 清华大学 | Correction method and device for high-resolution remote sensing data, computer equipment and readable storage medium |
| CN110555804B (en) * | 2018-05-31 | 2022-04-15 | 清华大学 | Correction method and device for high-resolution remote sensing data, computer equipment and readable storage medium |
| CN110148176A (en) * | 2019-05-30 | 2019-08-20 | 国家卫星气象中心(国家空间天气监测预警中心) | The method of inspection and device of the positioning consistency of the more pixel load of infrared high spectrum |
| CN111754458A (en) * | 2020-05-18 | 2020-10-09 | 北京吉威空间信息股份有限公司 | Satellite image three-dimensional space reference frame construction method oriented to geometric precision processing |
| CN111754458B (en) * | 2020-05-18 | 2023-09-15 | 北京吉威空间信息股份有限公司 | Satellite image three-dimensional space reference frame construction method for geometric fine processing |
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