KR100558879B1 - Apparatus and method for compensating damaged satellite image, satellite image map manufacture system and method using it - Google Patents

Abstract

1. TECHNICAL FIELD OF THE INVENTION

The present invention relates to an apparatus for calibrating a lost satellite image, a method thereof, and a system for producing a satellite image map using the same.

2. The technical problem to be solved by the invention

The present invention is a loss satellite image correction device and method and method using the same to compensate for the lost satellite image data distortion of the satellite image using a periodic satellite image or other satellite image, and to produce a satellite image map To provide a satellite image mapping system and method thereof.

3. Summary of the Solution of the Invention

The present invention provides a satellite image correction apparatus, comprising: image relationship setting means for determining whether a lost satellite image (loss satellite image) and a reference satellite image are images of a similar time taken in the same region, and correlations between images; Area matching means for selecting a region that can be used in the reference satellite image among the data of the lost satellite image with respect to the satellite image having high correlation; Interpolation means for deriving a value of a lost portion using data and surrounding data in the reference satellite image for the region matched region; And brightness adjusting means for adjusting the difference in brightness value with surrounding pixels when interpolated.

4. Important uses of the invention

The present invention is used for satellite image map production.

Satellite Image Map, Landsat-7, Satellite, Area Matching, Lost Satellite Image, Reference Satellite Image

Description

Apparatus and method for compensating damaged satellite image, satellite image map manufacture system and method using it}             

1 is a flowchart illustrating a conventional satellite image map production method.

2 is a flow chart of an embodiment of a satellite image map production method according to the present invention;

FIG. 3 is an exemplary explanatory diagram showing lost satellite image data shown in FIG. 2; FIG.

4 is a block diagram of an embodiment of a loss satellite image correction apparatus and a satellite image mapping system using the same;

FIG. 5 is a flowchart illustrating a process of correcting data using a periodic satellite image among reference satellite image data of FIG. 2. FIG.

FIG. 6 is a flowchart illustrating a process of correcting data using another satellite image among reference satellite image data in FIG. 2. FIG.

* Explanation of symbols on the main parts of the drawing

40: image correction unit 41: image relationship setting unit

42: region matching portion 43: interpolation portion

44: brightness adjuster 45: resolution adjuster

50: map maker 51: orthodox correction unit

52: mosaic 53: video fusion unit

54: terrain information extraction unit 55: map output unit

The present invention relates to the field of satellite image mapping technology, and in particular, a loss satellite image correction apparatus capable of correcting data distortion of satellite image using periodic satellite image or other satellite image, and thereby producing satellite image map, and its A method, a satellite image mapping system using the same, and a method thereof are provided.

Currently used maps are classified into paper maps, digital maps and satellite image maps.

Paper maps are produced based on the National Geographical Map of the National Geographical Institute and reviewed and edited for additional information.

A digital map is a map in which the information of a paper map is digitized into a set of geometric figure elements or pixels in the form of points, lines, and planes.

Satellite image maps can be used to produce entire land using low- and low-resolution satellite images, such as Landsat satellite images, which have a resolution of 30m, or high resolutions such as spots and Ikonos for small areas. It is produced using video. In particular, Landsat has the advantage of reducing the map production time because one image is 180km × 180km.

Referring to FIG. 1, a general satellite image mapping method is described. After orthogonally correcting image data based on coordinate information of numerical data using image data and numerical data (101 to 104), the orthodontic unit data is corrected. Combination (mosaic) into continuous data (105), color information of multispectral image data is mixed (image fusion) (106) while maintaining the resolution of the full color image data included in the image data (106), and the topographic information is extracted. The map is output through the reprocessing and editing of the vector data (107).

However, maps using these satellite images are produced under the assumption that there is no data loss of the satellite image map to be used. Especially, in case of Landsat-7 satellite image which has data loss due to SLC-Off problem, it cannot be used. There is this.

As such, Landsat-7 satellite image data cannot inevitably lose data, and when mapping a wide area, it is difficult to find satellite images that cover a large area and are less expensive to purchase, such as Landsat-7. Even in the case of lost satellite image data, there is a need to prepare a method for producing a satellite image map through correction thereof.

The present invention has been proposed in order to meet the above demands. For the lost satellite image, the data distortion of the satellite image is corrected by using a periodic satellite image or another satellite image, and thus a satellite image map can be produced. It is an object of the present invention to provide a loss satellite image correction apparatus and a method thereof, and a satellite image mapping system and the method using the same.

In order to achieve the above object, the present invention provides a satellite image correction apparatus, comprising: determining whether a lost satellite image (loss satellite image) and a reference satellite image are images of a similar time when the same region is photographed, or a correlation between images; Image relation setting means; Area matching means for selecting a region that can be used in the reference satellite image among the data of the lost satellite image with respect to the satellite image having high correlation; Interpolation means for deriving a value of a lost portion using data and surrounding data in the reference satellite image for the region matched region; And when interpolated, it characterized in that it comprises a brightness adjusting means for adjusting the difference in the brightness value with the surrounding pixels.

In addition, the present invention is characterized in that it further comprises a resolution adjusting means for converting the data resolution of the satellite image (reference satellite image) taken by another satellite to the resolution of the lost satellite image.

In addition, the present invention is a satellite image correction method applied to a satellite image correction device, whether the lost satellite image (lost satellite image) and the reference satellite image is the image of the same time in the same region, the correlation between the images Determining an image relationship setting step; A region matching step of selecting a region that can be used in the reference satellite image among the data of the lost satellite image with respect to the satellite image having a high correlation; An interpolation step of deriving a value of a lost part using data and surrounding data in the reference satellite image for the region matched area; And when interpolated, characterized in that it comprises a brightness adjustment step for adjusting the difference in brightness value with the surrounding pixels.

In addition, the present invention is characterized in that it further comprises a resolution adjusting step of converting the data resolution of the satellite image (reference satellite image) taken by another satellite to the resolution of the lost satellite image.

Meanwhile, the present invention provides a satellite image mapping system, in which a lost satellite image (lost satellite image) and a reference satellite image are images of a similar time when the same region is photographed, and an image relationship setting for determining correlation between images. Way; Area matching means for selecting a region that can be used in the reference satellite image among the data of the lost satellite image with respect to the satellite image having high correlation; Interpolation means for deriving a value of a lost portion using data and surrounding data in the reference satellite image for the region matched region; Brightness interpolation means for adjusting the difference in brightness value with surrounding pixels when interpolated; Orthodontic correction means for orthogonally correcting the image data based on the coordinate information of the numerical data using the brightness-adjusted image data (corrected image data) and the numerical data; Mosaic means for combining orthodontic unit data into continuous data; Image fusion means for mixing the color information of the multispectral image data while maintaining the resolution of the full color image data included in the image data; And terrain information extraction and map output means for extracting the terrain information and outputting the map through reprocessing and editing of the vector data.

In addition, the present invention is characterized in that it further comprises a resolution adjusting means for converting the data resolution of the satellite image (reference satellite image) taken by another satellite to the resolution of the lost satellite image.

In addition, the present invention provides a satellite image mapping method applied to a satellite image mapping system, wherein the lost satellite image (loss satellite image) and the reference satellite image are images of the same time when the same region is photographed, and the correlation between the images An image relationship setting step of determining a degree; A region matching step of selecting a region that can be used in the reference satellite image among the data of the lost satellite image with respect to the satellite image having a high correlation; An interpolation step of deriving a value of a lost part using data and surrounding data in the reference satellite image for the region matched area; A brightness adjustment step of adjusting the difference in brightness value with surrounding pixels when interpolated; An orthodontic correction step of correcting the image data based on the coordinate information of the numerical data using the brightness-adjusted image data (corrected image data) and the numerical data; A mosaic step of combining orthodontic unit data into continuous data; An image fusion step of mixing color information of the multispectral image data while maintaining the resolution of the full color image data included in the image data; And extracting the topographical information and extracting the topographical information and outputting the map through reprocessing and editing of the vector data.

In addition, the present invention is characterized in that it further comprises a resolution adjusting step of converting the data resolution of the satellite image (reference satellite image) taken by another satellite to the resolution of the lost satellite image.

The present invention has the longest history among the earth observation satellites and is widely used in various fields, but not only landsat images that are limited in use due to SLC-Off problems, but also for satellite images that cause data loss for various reasons. do.

According to the present invention, when the image map using satellite image, especially when there is data loss in the satellite image itself, such as SLC-Off Landsat-7 satellite image, periodic satellite image, Landsat-5, etc., which take the same region on different date The satellite data map is made by supplementing the lost data using other satellite images.

To this end, the present invention is largely divided into an image correction unit (loss satellite image correction device) and a satellite image map production unit. Here, the image corrector corrects data of the lost satellite image, and includes a function of correcting using a periodic satellite image and a function of correcting using another satellite image. In addition, the satellite image map production unit uses the satellite image data generated by the image correction unit (loss satellite image correction device) to perform satellite correction, orthodontic correction, mosaic, image fusion, terrain information extraction to produce satellite image maps. do.

Unlike the existing method of assuming a satellite image without loss in producing a satellite image map, the present invention uses a continuous periodic satellite image or another satellite image even when there is a loss of satellite image. Satellite image maps can be produced.

Therefore, in the present invention, satellite images are corrected using periodic satellite images or other satellite images such as Landsat-5, IKONOS, etc., and satellite maps are lost. Since satellite images can be used, the time for mapping can be reduced and the accuracy can be improved.

The above objects, features and advantages will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

2 is a flowchart illustrating an embodiment of a method for producing a satellite image map according to the present invention.

If the lost satellite image (Landsat-7 satellite image data) as shown in FIG. 3 is input (201), reference satellite image data (image data periodically captured by the same satellite or image data captured by another satellite) is stored. The satellite image is corrected using the satellite image (202), and the digital map and the image are superimposed, geometric correction, orthodontic correction, mosaic, image fusion and terrain information extraction to create a map (102 ~ 108). That is, as shown in FIG. 1, after orthogonally correcting image data based on coordinate information of numerical data using image data (corrected image data) and numerical data (101 to 104), the orthodontic unit data is corrected. Combination (mosaic) into continuous data (105), color information of multispectral image data is mixed (image fusion) (106) while maintaining the resolution of the full color image data included in the image data (106), and the topographic information is extracted. The map is output through the reprocessing and editing of the vector data (107).

Hereinafter, a process of making a satellite image corrected using reference satellite image data (image periodically captured by the same satellite or image data captured by another satellite) will be described in detail.

4 is a diagram illustrating an embodiment of a lost satellite image correction apparatus and a satellite image mapping system using the same according to the present invention.

As shown in FIG. 4, the image corrector (loss satellite image correcting apparatus) includes an image of a similar time when a lost satellite image (loss satellite image) and a reference satellite image (periodic image) are taken in the same region. Image relation setting unit 41 for determining the correlation between the recognition and the images, and region matching unit for selecting a region that can be used in the reference satellite image among the data of the lost satellite image for the satellite image having high correlation (42), and the interpolation portion 43 for deriving the value of the lost portion using the data and the surrounding data in the reference satellite image for the region-matched region, and the brightness value difference with the surrounding pixels when interpolated. It includes a brightness adjusting unit 44 for adjusting the.

Here, when using the image data taken by another satellite as a reference satellite image, the resolution adjusting unit for converting the data resolution of the reference satellite image (satellite image taken by another satellite) to the resolution of the lost satellite image (45) More).

The map production unit 50 corrects the image data based on the coordinate information of the numerical data using the image data and the numerical data corrected by the image correction unit (loss satellite image correction device) 40, and then corrects the orthogonal correction. Combining unit data into continuous data (Mosaic), mixing color information of multispectral image data (image fusion) while maintaining resolution of full color image data included in image data, extracting topographic information, Maps are created by reprocessing the data.

Therefore, in the satellite image mapping system according to the present invention, whether the lost satellite image (loss satellite image) and the reference satellite image (periodic image) are taken at the same time when the same region is photographed, and the degree of correlation between the images An image relationship setting unit 41 for discriminating an image, an area matching unit 42 for selecting a region that can be used in a reference satellite image among the data of the lost satellite image, and a region matching for a highly correlated satellite image; For the region of interest, an interpolation unit 43 for deriving the value of the missing portion by utilizing the data and surrounding data in the reference satellite image, and a brightness adjusting unit for adjusting the difference in brightness value with surrounding pixels when interpolated ( By using the image correction unit (loss satellite image correction device) 40, including the 44, the brightness-adjusted image data (corrected image data) and the numerical data based on the coordinate information of the numerical data Maintains the resolution of the orthographic image data included in the image data, the orthodontic correction unit 51 for correcting orthodontic image data, the mosaic unit 52 for combining orthodontic unit data into continuous data, and While the image fusion unit 53 for mixing the color information of the multispectral image data, the topographic information extraction unit 54 and the map output unit 55 for extracting the topographic information and outputting the map through the reprocessing and editing of the vector data It includes a map making unit 50 including).

Here, when using the image data taken by another satellite as a reference satellite image, the data correction unit 40 converts the data resolution of the reference satellite image (satellite image taken by another satellite) into the resolution of the lost satellite image. It further comprises a resolution adjusting unit 45 for.

Next, a process of correcting data using a periodic satellite image among reference satellite image data in FIG. 2 will be described in more detail with reference to FIG. 5.

5 shows a process of creating a calibrated satellite image using a periodic satellite image among reference satellite image data.

Lost satellite image data, such as Landsat-7 data with SLC-Off, are composed of inaccurate values of many of the data. In order to use this data efficiently, the Landsat-7 satellites take advantage of the same area every 16 days, and the location of the satellites varies slightly for various reasons such as atmospheric conditions and satellite posture. Use the captured video.

In order to use the lost satellite image and the periodic satellite image, an operation to be performed first establishes a relationship between images in the image relationship setting unit 41 (501 and 502). That is, the image relationship setting unit 41 calculates correlation efficient and the like in order to determine whether two images (lost satellite images, periodic satellite images taken by the same satellite) are images of a similar time when the same region is taken. The degree of correlation between the images is determined.

The region matching unit 42 performs region matching on the satellite images having high correlation between the images (503). At this time, the area matching unit 42 selects a region that can be used in the satellite image periodically photographed from the lost satellite image data.

After the selection of the area to process the data lost by the region matching is finished, the interpolation is performed through the interpolation unit 43 (504). In this case, interpolation is to derive the value of the missing part by using the data and the surrounding data in the periodic satellite image for the region matched region.

Lastly, the brightness adjustment unit 44 performs brightness adjustment on the interpolated satellite image (505). At this time, the reason for the brightness adjustment is to prevent the difference between the ambient brightness value in order to prevent the satellite image from appearing strange because the brightness value with the surrounding pixels is different when interpolated.

6 shows a process of creating a calibrated satellite image using another satellite image among reference satellite image data.

Here, the other satellite image means a Landsat-5 image having the same resolution as Landsat-7 or a satellite image having a different resolution such as SPOT, IKONOS, and MODIS. Of course, when the resolution is the same as Landsat-5, the satellite image may be generated by applying the method described with reference to FIG. 5.

However, in the case of satellite images having different resolutions, the resolution should be adjusted. This is because data distortion occurs when the resolution is different from the lost satellite image. Therefore, in order to prevent this, the resolution of the other satellite image data must be converted into the resolution of the lost satellite image through the resolution adjusting unit 45 (601, 602).

Subsequently, the corrected satellite image is generated through the relationship setting 603, the region matching 604, the interpolation 605, and the brightness adjustment 606 in the same manner as described with reference to FIG. 5 (607).

The method of the present invention as described above may be implemented as a program and stored in a computer-readable recording medium (CD-ROM, RAM, ROM, floppy disk, hard disk, magneto-optical disk, etc.).

The present invention described above is not limited to the above-described embodiments and the accompanying drawings, and various substitutions, modifications, and changes are possible in the art without departing from the technical spirit of the present invention. It will be clear to those of ordinary knowledge.

As described above, the present invention can produce a satellite image map using a satellite image that has a low purchase cost and occupies a large area, such as Landsat-7 satellites, but data loss occurs, thereby reducing the time required to produce a map and improving accuracy. It can be effected.

In addition, the present invention has an effect that the user can produce a satellite image map desired by the user not only for Landsat-7 but also for satellite image data loss due to various reasons.

Claims (13)

In the satellite image correction device, Image relationship setting means for determining whether the lost satellite image (lost satellite image) and the reference satellite image are images of a similar time when the same region is photographed, and the correlation between the images; Area matching means for selecting a region that can be used in the reference satellite image among the data of the lost satellite image with respect to the satellite image having high correlation; Interpolation means for deriving a value of a lost portion using data and surrounding data in the reference satellite image for the region matched region; And Brightness adjusting means for adjusting the difference in brightness with surrounding pixels when interpolated Lost satellite image correction device comprising a. The method of claim 1, The reference satellite image is, Lost satellite image correction device, characterized in that one of the images periodically taken by the same satellite or images taken by another satellite. The method of claim 2, Resolution adjusting means for converting the data resolution of the satellite image (reference satellite image) taken by another satellite into the resolution of the lost satellite image Lost satellite image correction device further comprising. The method according to any one of claims 1 to 3, The lost satellite image is a Landsat-7 satellite image. The reference satellite image has a resolution different from that of Landsat-5 or Landsat-7, which is the same resolution as Landsat-7, and has a resolution that matches the loss satellite image. Lost satellite image correction device, characterized in that one of the satellite image (SPOT), Ikonos (IKONOS), MODIS (MODIS). In the satellite image correction method applied to the satellite image correction device, An image relationship setting step of determining whether a lost satellite image (lost satellite image) and a reference satellite image are images of a similar time when the same region is photographed, and a correlation between the images; A region matching step of selecting a region that can be used in the reference satellite image among the data of the lost satellite image with respect to the satellite image having a high correlation; An interpolation step of deriving a value of a lost part using data and surrounding data in the reference satellite image for the region matched area; And Brightness adjustment step to adjust the brightness value difference with surrounding pixels when interpolated Lost satellite image correction method comprising a. The method of claim 5, The reference satellite image is a loss satellite image correction method, characterized in that one of the image periodically taken by the same satellite or the image taken by another satellite. The method of claim 6, Resolution adjustment step of converting the data resolution of the satellite image (reference satellite image) taken by another satellite to the resolution of the lost satellite image Lost satellite image correction method further comprising. In the satellite image mapping system, Image relationship setting means for determining whether the lost satellite image (lost satellite image) and the reference satellite image are images of a similar time when the same region is photographed, and the correlation between the images; Area matching means for selecting a region that can be used in the reference satellite image among the data of the lost satellite image with respect to the satellite image having high correlation; Interpolation means for deriving a value of a lost portion using data and surrounding data in the reference satellite image for the region matched region; Brightness interpolation means for adjusting the difference in brightness value with surrounding pixels when interpolated; Orthodontic correction means for orthogonally correcting the image data based on the coordinate information of the numerical data using the brightness-adjusted image data (corrected image data) and the numerical data; Mosaic means for combining orthodontic unit data into continuous data; Image fusion means for mixing the color information of the multispectral image data while maintaining the resolution of the full color image data included in the image data; And Topographic information extraction and map output means for extracting topographic information and outputting the map through reprocessing and editing of vector data Satellite image mapping system comprising a. The method of claim 8, The reference satellite image is, Satellite image mapping system characterized in that it is one of the images periodically taken by the same satellite or images taken by another satellite. The method of claim 9, Resolution adjusting means for converting the data resolution of the satellite image (reference satellite image) taken by another satellite into the resolution of the lost satellite image Satellite image mapping system further comprising. In the satellite image mapping method applied to the satellite image mapping system, An image relationship setting step of determining whether a lost satellite image (lost satellite image) and a reference satellite image are images of a similar time when the same region is photographed, and a correlation between the images; A region matching step of selecting a region that can be used in the reference satellite image among the data of the lost satellite image with respect to the satellite image having a high correlation; An interpolation step of deriving a value of a lost part using data and surrounding data in the reference satellite image for the region matched area; A brightness adjustment step of adjusting the difference in brightness value with surrounding pixels when interpolated; An orthodontic correction step of correcting the image data based on the coordinate information of the numerical data using the brightness-adjusted image data (corrected image data) and the numerical data; A mosaic step of combining orthodontic unit data into continuous data; An image fusion step of mixing color information of the multispectral image data while maintaining the resolution of the full color image data included in the image data; And Terrain information extraction and map output step of extracting terrain information and outputting the map through reprocessing and editing of vector data Satellite image mapping method comprising a. The method of claim 11, The reference satellite image is, Method for producing a satellite image map, characterized in that one of the image periodically taken by the same satellite or the image taken by another satellite. The method of claim 12, Resolution adjustment step of converting the data resolution of the satellite image (reference satellite image) taken by another satellite to the resolution of the lost satellite image Satellite image mapping method further comprising a.

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