KR20230076445A - thermal burn image analysis system of big scale area for securing positional accuracy - Google Patents

Abstract

The present invention relates to a thermal image analysis system of a big scale area for securing positional accuracy. The system includes: a drone that flies and photographs a heat island phenomenon over a large area from the air; a management part that receives and stores a thermal burn image and an orthophoto image collected from the drone; and an editing part that receives the images from the management part and edits and processes them. Thus, it is possible is to provide a thermal image analysis system of a big scale area that ensures positional accuracy.

Description

Thermal burn image analysis system of big scale area for securing positional accuracy}

The present invention relates to a large-scale regional thermal imaging image analysis system that secures location accuracy, and more particularly, effectively secures the location accuracy of captured images for the heat island phenomenon in a large area and location accuracy that can realize cost reduction. It is about a large-scale regional thermal imaging image analysis system that has secured.

As global warming continues, the heat island phenomenon, especially in summer in urban areas, is emerging as a serious social problem, and effective countermeasures accordingly are urgently needed.

Although the heat island phenomenon occurs frequently in summer, it is not even properly understood. In the past, it was possible to identify a method using thermal imaging, but due to limitations in filming technology and method, data for large-scale areas was constructed. This was difficult, and in most cases, the already established data is limited to a local area.

Even if a thermal image is captured, positional accuracy of the constructed image is very inaccurate due to a resolution problem of the sensor.

Patent Document 001: Application No. 10-2016-0096699

In order to solve the above problems, the present invention accurately analyzes and secures the location of a vast large-scale area by accurately measuring a reference point on the ground based on a surveying technology based on location accuracy and applying it to the production of a thermal image. The purpose is to provide a large-scale regional thermal imaging image analysis system that secures the positional accuracy that can be achieved.

The present invention for achieving the above objects is a drone that flies and photographs a large-scale heat island phenomenon in the air, a management unit that receives and stores and manages thermal and orthographic images collected from the drone, and images from the management unit. An exemplary feature of a large-scale regional thermal image image analysis system that secures positional accuracy, which is configured to include an editing unit that receives transmission and corrects processing, is provided.

The drone is a large-scale regional thermal imaging image analysis system that secures location accuracy and includes a first image capturing unit for capturing a thermal image for the heat island phenomenon and a second image capturing unit for capturing an orthographic image. There is an example characteristic.

The editing unit includes a first image editing unit that edits the thermal image, a second image editing unit that edits the orthographic image, and a thermal image and the orthographic image that are received and overlapped with the two images to convert and extract the coordinate values of the corresponding images. An exemplary feature of a large-scale regional thermal imaging image analysis system that secures location accuracy is that it further includes a derivation unit that analyzes and calculates location accuracy using a method.

According to the present invention as described above, there is an effect of securing location accuracy through a method of accurately measuring a reference point on the ground based on a surveying technology for a large-scale area heat island phenomenon.

In addition, according to the present invention, cost reduction due to map layer renewal, cost reduction due to decrease in field survey amount, decision support for construction works such as urban planning, and easy visual spatial analysis are provided.

1 is a block diagram illustrating components of a large-scale regional thermal image analysis system securing location accuracy according to an embodiment of the present invention in simple blocks.
FIG. 2 is a diagram showing the components of the drone shown in FIG. 1 in simple blocks.
FIG. 3 is a block diagram showing components of the editing unit shown in FIG. 1 as simple blocks.

In the present invention, it is revealed that the accompanying drawings are exaggerated for clarity and convenience of description, and the embodiments described below do not limit the scope of the present invention, but are illustrative of the components presented in the claims of the present invention. However, it should be interpreted based on the technical idea throughout the specification, taking into account that it can be modified and implemented in various other forms.

Hereinafter, a large-scale area thermal image analysis system securing location accuracy according to preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings.

According to the present invention, a large-scale regional thermal image analysis system that secures location accuracy can simultaneously perform thermal image capture and ortho image capture by using a fixed-wing drone, and utilizes a reference point on the ground on the ortho image, and based on this, an ortho image is captured. Positional accuracy of the image can be secured.

According to the present invention, it is possible to produce a thermal image with location accuracy secured by combining an orthographic image and a thermal image with location accuracy secured, and a cadastral map is superimposed on the produced thermal image to be excluded from analysis based on the cadastral map. It is also possible to increase the accuracy and concentration of data analysis by selectively selecting areas to be selected or areas requiring intensive analysis.

And, when the production of the thermal image is completed, it can be compared again with the orthographic image to check the positional accuracy. As it is superimposed on the image and the coordinate values on the image are converted and extracted, the accuracy can be confirmed again by performing mutual comparison with the coordinate values of the actually measured inspection point.

As shown in FIG. 1, the large-scale area thermal imaging image analysis system securing location accuracy according to an embodiment of the present invention includes a drone 100 that captures the heat island phenomenon in a large area while flying in the air, and the drone 100. It may be composed of a configuration including a management unit 200 that receives and stores and manages captured images and thermal images collected from the management unit 200 and an editing unit 300 that receives and corrects and processes the images from the management unit 200 .

The drone 100 may be configured to include a first image capture unit 110 and a second image capture unit 120, and the first image capture unit 110 captures a thermal image for the heat island phenomenon. For example, a digital cam-type thermal imaging camera may be used for taking pictures, but may be configured with RGB and CIR sensors and overlap control added together. The CIR (Color Infrared) sensor is a kind of near-infrared ray sensor and can be used in the form of a film that is sensitive to G/R/NIR, unlike a general film that is sensitive to RGB.

In addition, the second image capture unit 120 is used to capture an orthographic image, for example, a cam-type image camera having high resolution image quality may be used, and a digital topographical map is produced through aerial photography and image measurement. It is an editing data file format that can be edited such as correction and deletion processing that can produce maps and image cadastral maps.

Of course, not only the first and second image capture units, but also a Lidar sensor capable of realistically reflecting an image of a 3D space may be installed. This lidar emits a laser pulse, receives the reflected light from a target object, measures the distance to the object, and even images the shape of the object.

The management unit 200 may be, for example, a kind of large-capacity server, and may be operated for receiving, storing, and managing captured images and thermal images collected from the drone 100 .

The editing unit 300 corrects and corrects image files including photos taken of the heat island phenomenon transmitted from the first image capturing unit 110 and the second image capturing unit 120 mounted on the drone 100 and Along with editing such as deletion processing, it can be operated for the purpose of analyzing location accuracy by overlapping the edited files and converting and extracting the coordinate values of the corresponding image.

Of course, the above-described editing unit 300 includes a first video editing unit 310 for editing a thermal image, a second video editing unit 320 for editing an orthographic image, and two receiving the thermal image and the orthographic image. It may be configured to include a derivation unit 330 that analyzes and calculates positional accuracy by overlapping images and converting and extracting coordinate values of corresponding images.

The first image editing unit 310, the second image editing unit 320, and the derivation unit 330 are all high-end server type suitable for quick and efficient processing of editing for modifying and deleting large-capacity image data files. A computer may be used.

Of course, a thermal image editing program capable of performing editing processing on thermal images may be installed in the first image editing unit 310, and editing processing on orthographic images may be performed in the second image editing unit 320. An orthodox editing program that can do this can be installed.

In addition, the derivation unit 330 may be provided with a comparison editing program capable of converting and extracting coordinate values of corresponding images by overlapping the thermal image and the orthographic image.

In the thermal image editing program installed in the image first editing unit 310, ground reference points can be measured based on surveying technology in order to secure location accuracy of the image for the heat island phenomenon in a large area. It can be grafted onto the image, and in this way, the positional accuracy of the thermal image can be secured.

And, in the orthophoto editing program installed in the image second editing unit 320, the ground reference point on the orthoimage can be measured, and the measured ground reference point can be grafted to the orthophoto. can be secured

Orthophoto refers to an image that removes the displacement of an object caused by the camera posture and terrain relief at the time of taking the photo, and is an aerial photograph produced through orthophoto correction, also called “numerical differential deviation correction”, and undergoing orthophoto correction. The mutual positional relationship of the features may be the same as that of the map. Therefore, a shape that looks like lying on its side in a general photograph can be expressed as a vertically viewed image in an image that has undergone orthocorrection.

On the other hand, in the comparison editing program installed in the derivation unit 330, an ortho image and a thermal image with location accuracy secured can be combined to produce a thermal image with location accuracy secured, and a cadastral map can be provided to the produced thermal image. By overlapping, it can be processed in such a way as to improve the accuracy and concentration of data analysis by selectively selecting areas to be excluded from analysis or areas requiring intensive analysis based on cadastral maps.

A separate automatic check program may be installed in the derivation unit 330 together with the comparison and editing program. This automatic check program verifies the location accuracy by comparing the produced thermal image with the ortho image again. In addition, the coordinate value conversion on the corresponding image may be extracted by preempting and surveying additional checkpoints other than the ground reference point, and superimposing the checkpoint on the orthographic image and the thermal image.

Furthermore, in the automatic check program, the accuracy of the positional accuracy can be reconfirmed by mutually comparing the coordinate values extracted by conversion with the coordinate values of the actually measured inspection point.

In addition, the automatic check program may assign coordinates to data raster files of images, whether thermal images or orthographic images. It can be processed in such a way that coordinates are assigned to a raster file without coordinates by matching.

Raster is a method of expressing image information in a computer. It consists of pixels in a two-dimensional array, combines the shapes of these points, and expresses one image information with pixels at regular intervals. it means.

That is, a set of consecutive pixels in one line is called a raster, and in the case of a raster-type device, the location information of all pixels is expressed by corresponding to a storage location, and then the information stored in the storage location is sequentially read and output according to the specified value. You can determine the pixel shape of your device.

On the other hand, in the orthophoto editing program installed in the image second editing unit 320, for example, it is also possible to create a map of orthographic images, which is collected from the video camera mounted on the drone 100. Based on images, including external expression elements), measurement processing of photo reference points, production processing of digital elevation data, production processing of orthographic images, radial correction and image seam line processing, production processing of map unit images, orthographic images It can be made in such a way as to perform map production processing.

In the measurement process of the photo control point, for example, it may be processed in a manner of performing automatic junction point observation and adjustment, excessive error elimination, ground control point observation and adjustment, and accuracy evaluation (RMSE).

In the production processing of the digital elevation data, for example, it may be processed in a manner using a contour layer of a digital map or a digital elevation model of an aerial laser survey.

In the production processing of the orthographic image, for example, it may be processed in a manner of producing an orthocorrected mosaic image by fusion of external face elements + digital elevation model data and correction of numerical differential deviation.

In the radiation correction and image seam line processing, for example, work unit image and index production, standard image as a representative value, unified image production, image seam line based on digital map. Can be processed in a manner of editing there is.

In particular, the image boundary line (seam line) means an optimal line in which the boundary line between two images is not visible in the image mosaic work.

In the process of producing the map unit image, for example, it may be processed in a manner of editing the generalization of the outer cycle per scale, and in the process of producing the ortho image map, a method of producing a map of the normal image for each map as the map unit image + the margin cycle. can be processed as

The lidar sensor is an image copy of the heat island phenomenon, and is a device capable of imaging processing of images that can contain a large amount of 3D space image data up to realistic object shapes. For example, 3D geospatial information production, DEM automatic It can be used for processing tasks such as creation of contour lines through creation, urban planning, water resource management, route surveying and planning, coastline protection, ground monitoring, installation of base stations, and multi-dimensional spatial information construction.

Of course, the drone can fly through an aircraft inertial navigation device, and the positioning accuracy due to the productivity improvement of the conversion mapping program and the rational data quality management automation process of the image through the comparative editing program and the automatic check program installed in the derivation unit. The effect of reducing the time and cost of image processing with .

In addition, the editing unit can be a type of server, but it can also be configured with a combination structure of an analytical plotter, a digital plotter, a workstation, and a plotter required for analytical aerial photographic digital painting, photo reference point surveying, and digital topographic map construction. there is.

Of course, the digital mapper performs geometric correction of satellite images, photo reference point survey of airborne images (analog photographic images / digital camera images for airborne navigation), digital topographic map construction (new / modified), 3D spatial geographic information construction, and various digital elevations. It is possible to process data, produce True Ortho Photo, draw aerial photographs, and produce resin maps.

In addition, the workstation is capable of preprocessing aerial imagery and 3D geographic information data, producing an aerial image orthographic image, and processing 3D numerical elevation.

The plotter is capable of outputting image papers and cadastral maps, processing drawing outputs of various digital maps, and the like. In addition to this, the management unit may be composed of combined components including a GPS receiver, digital level, total station, gravimeter, and terrestrial LIdar.

Drones (100)
First image capture unit 110 Second image capture unit 120
management department (200)
Editing unit 300 Video first editing unit 310
Image second editing unit 320 Derivation unit 330

Claims (3)

Drones flying and filming large-scale heat island effects from the air;
a management unit receiving, storing, and managing thermal and orthographic images collected from the drone; and
an editing unit receiving and processing the images transmitted from the management unit;
Large-scale local thermal imaging image analysis system ensuring location accuracy, characterized in that consisting of a configuration comprising a. The method of claim 1, wherein the drone
a first image capture unit that captures a thermal image of a heat island phenomenon; and
A second image capture unit for capturing an image of an orgasm;
Large-scale local thermal imaging image analysis system ensuring location accuracy, characterized in that consisting of a configuration comprising a. The method of claim 2, wherein the editing unit
a first image editing unit that edits the thermal image;
a video second editing unit that edits an ortho video; and
a derivation unit that analyzes and calculates positional accuracy by receiving the thermal image and the orthographic image, overlapping the two images, and converting and extracting coordinate values of the corresponding images;
Large-scale local thermal imaging image analysis system ensuring location accuracy, characterized in that consisting of a configuration further comprising.

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