KR20210099371A - The method and System of Wave Observation Using Camera Module for Ocean Observation Buoy - Google Patents

Abstract

The present invention relates to a method and a system for observing waves using an imaging camera for marine observation buoys, using image information captured by installing a video surveillance camera on a marine observation buoy to perform precise observation on a scale of the wave in conjunction with the observation information of the wind direction anemometer, and determine the reliability of the wave estimation. By observing the wave by analyzing the image information acquired through the camera module capable of shooting in all directions 360°, compared to marine observation equipment equipped with an expensive wave height sensor, the system is lighter and the introduction cost can be reduced. The accuracy of ocean weather observation and ocean weather forecast can be improved by verifying the reliability of wave estimation. The present invention includes an image acquisition step of acquiring real-time image information of the sea at a user-specified time interval from a server computer.

Description

The method and system of Wave Observation Using Camera Module for Ocean Observation Buoy

The present invention relates to a method and system for observing waves using an imaging camera for marine observation buoys, and more particularly, to a wave observation method and system using image information captured by installing an image surveillance camera on a marine observation buoy in conjunction with observation information of an anemometer for wind direction. It relates to a wave observation method and system using an imaging camera for an ocean observation buoy that precisely observes the scale of the waves and judges the reliability of wave estimation.

In general, waves are very important environmental factors in marine transportation means and structures, and wave measurement has been carried out for a long time for safety and system operation standards and calculation of design standards.

The conventional wave prediction collects weather information of an observation area and predicts the occurrence and characteristics of waves by substituting the collected weather information into a wave numerical model. For wave prediction using such a wave numerical model, data on weather information, which is a basic input data, must be accurately input. When the weather condition is stable, the accuracy of the weather prediction values calculated with the weather numerical model is high, so there is no problem in predicting waves using the wave numerical model. However, a sudden change in weather phenomena is the main cause of high waves that are suddenly generated and propagated, and it is difficult to accurately predict this phenomenon with a weather numerical model.

The method widely used to measure the wave height can be divided into a method using a buoy and a method using a sensor such as an x-band radar. However, commercialized sensors such as buoys and x-band radars are very expensive equipment, so there is a problem in that they incur a lot of cost, and this needs to be supplemented.

Republic of Korea Patent Registration No. 10-0769873 (2007.10.18.)

It is an object of the present invention to install a camera module capable of real-time shooting in 360° omnidirectional for observing the sea on a marine observation buoy so that the captured image information can be observed in real time using a long-distance communication network such as a satellite communication network, A method and system for observing waves using an imaging camera for marine observation buoys that analyzes the sea level through image pre-processing of image information, precisely observes the scale of waves by linking with the observation information of the wind direction anemometer, and judges the reliability of the wave estimation. will provide

Objects of the present invention are not limited to the objects mentioned above, and other objects not mentioned will be clearly understood by those of ordinary skill in the art from the following description.

In order to achieve the above object, the wave observation method using the imaging camera for ocean observation buoy according to the present invention is a marine buoy in which an imaging camera module for ocean observation buoy is installed, through the camera module unit installed on the ocean buoy. An image acquisition step of capturing the captured real-time image information from a server computer at user-specified time intervals, and analyzing the seawater boundary in the image through an image pre-processing process in an image processing unit based on the image information acquired from the server computer A sea level analysis step of extracting a sea level area from the sea level analysis unit from the image analyzed on the sea level boundary surface, a sea level analysis step of analyzing the roughness of the sea level from the extracted area, and inputting a result value according to the roughness analysis of the sea level in the determination unit Roughness class classification step of receiving and classifying the roughness class, a merge class generating step of generating a merge class for reducing the error range of the estimated wave height for the classified roughness class in the determination unit, measuring the wind direction and wind speed from the sensor unit, , a numerical data acquisition step of acquiring numerical data on the measured wind direction and wind speed from the server computer through the receiving unit, and a wind speed rating in which the determination unit assigns a wind rating corresponding to the Beaufort wind rating table to the measured wind speed. Granting step, a wave height approximation value calculation step of calculating an approximate value of the wave height based on the wind power rating in the determination unit, an approximate value of the wave height estimated in the merge class generated in the merge grade generation step and the wave height approximate value calculation step and a wave height estimation step of estimating the height of the wave height through calculation in the determination unit using the and correction constant, a wave height comparison analysis step of comparing the estimated height of the wave height with the actual wave height information in the determination unit, the estimated an accuracy improvement step of reducing the error range by re-learning using a deep learning technique when the crest height and the actual crest height information are compared in the determination unit and out of the error range; and an accuracy calculation step of calculating the accuracy in the determination unit in the dimension of reliability verification for the result value calculated in the wave height comparison and analysis step.

In addition, the image acquisition step is an image collecting step of taking an image from a camera module unit installed in the marine buoy, collecting the image in the image collecting unit, and an image analog from the data division unit to transmit the collected image to the server computer side A digital data conversion step of receiving data from the image collecting unit and converting it into digital data, receiving the converted digital data from the data dividing unit at the transmitting unit of the marine buoy, and transferring the digital data from the transmitting unit to the receiving unit of the server computer a transmitting step of transmitting; and an analog data conversion step of receiving the digital data from the data merging unit and converting the digital data into analog data.

In addition, the sea level boundary analysis step is a sea level detection step of finding the sea level by detecting the sea boundary line of the ocean area in the sea level detection unit based on the obtained image information, using the boundary line detected by the sea level detection unit to remove the sky and The method further includes a white light removing step of removing the reflected light area and a noise removing step of removing small areas such as noise in order to sharpen the image by receiving the image that has undergone the white light removing step from the noise removing unit.

In addition, the sea level analysis step further includes an edge filtering step of expressing the complexity (roughness) of the sea level as an edge by using edge filtering in the sea level analysis unit for the image that has undergone the seawater boundary surface analysis step.

In addition, the wave height approximate value calculation step divides the range section of the wind speed corresponding to the grade of the Beaufort wind power rating table and estimates the wave height of the Beaufort wind speed rating table in proportion to the measured wind speed in the wind speed range section. do.

A wave observation system using an imaging camera for marine observation buoy according to another aspect of the present invention is a control unit that receives a control command from a user terminal using a telecommunication network in a marine buoy in which an imaging camera module for marine observation buoy is installed. , a camera module for capturing a marine image controlled by receiving a command from the control unit, an image collecting unit for collecting the image provided from the camera module, and analog data to transmit the image collected by the image collecting unit to the server computer side A data division unit that divides data by converting it into digital data, a sensor unit that is controlled by the control unit and measures wind speed and wind direction, digital data divided by the data division unit, and wind speed and direction data measured by the sensor unit A transmitting unit for transmitting to the server computer side, a receiving unit receiving the divided digital data and the wind speed and wind direction data transmitted from the transmitting unit, receiving the divided digital data from the receiving unit and merging the data into an analytic image form A merging unit, an image processing unit that generates an image for wave observation through an image preprocessing process to analyze a wave based on the analytic image, and the wind speed and direction data transmitted to the receiver based on the wave observation image A database storing maritime information including a determination unit that estimates the wave height and compares the estimated wave height with the actual wave height, and the accuracy calculated by comparing the estimated wave height with the actual wave height, and the wave height, wind speed, etc. It is characterized by including wealth.

In addition, the image processing unit is a sea level detector that detects the sea boundary of the ocean area to find the sea level, a white light remover that removes the sky and reflected light area using the boundary line detected by the sea level detection unit, and the sky and reflected light area in the white light remover It characterized in that it further comprises a noise removing unit for removing the noise of the image from which the noise has been removed, and a sea level analysis unit for analyzing the sea level from the image from which the noise is removed by the noise removing unit.

A wave observation method and system using an image recording camera for marine observation buoy according to the present invention according to the present invention is equipped with an expensive wave height sensor by analyzing the image information obtained through a camera module capable of shooting 360° omnidirectionally and observing the wave. Compared to other marine observation equipment, the system is lighter and the introduction cost can be reduced.

In addition, by using the satellite communication network and long-distance communication network (LTE transmission network, VHF transmission network, etc.), the usability of even the blind spots of the existing communication network can be increased, and the image-processed sea condition is evaluated and the blue scale is linked with the numerical observation information of the wind direction and wind speed. Precise observation is possible, and it has the effect of improving the precision of ocean weather observation and ocean weather forecasting by verifying the reliability of wave estimation.

1 is a flowchart sequentially illustrating a wave observation method using an imaging camera for marine observation buoy according to the present invention.
2 is a block diagram of a wave observation system using an imaging camera for marine observation buoys according to the present invention.
3 is a schematic block diagram of an image processing unit for a wave observation system using an image capturing camera for an ocean observation buoy according to the present invention.
4 is an exemplary diagram for explaining a process of analyzing a seawater boundary surface for a wave observation method using an image photographing camera for a marine observation buoy according to the present invention.
5 is an exemplary view for explaining a process of analyzing the roughness of the sea level for the wave observation method using the image capturing camera for the marine observation buoy according to the present invention.

Advantages and features of the present invention, and methods of achieving them, will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in a variety of different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention belongs It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims.

Detailed contents for carrying out the present invention will be described in detail with reference to the accompanying drawings below. Regardless of the drawings, like reference numbers refer to like elements, and "and/or" includes each and every combination of one or more of the recited items.

The terminology used herein is for the purpose of describing the embodiments, and is not intended to limit the present invention. As used herein, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other components in addition to the stated components.

Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used with the meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless clearly defined in particular.

1 is a flowchart sequentially showing a wave observation method using an imaging camera for marine observation buoy according to the present invention, and FIG. 2 is a block for a wave observation system using an imaging camera for marine observation buoy according to the present invention 3 is a schematic block diagram of an image processing unit for a wave observation system using an image capturing camera for marine observation buoy according to the present invention, and FIG. 4 is an image capturing camera for marine observation buoy according to the present invention. It is an exemplary diagram for explaining the process of analyzing the seawater boundary for the wave observation method using, It is an example for doing.

4 (a) is an original video image of observation of the sea through an imaging device installed on a marine buoy, (b) is an image image in which the sea boundary of the ocean area is detected from the original image and the sky and reflected light area are removed, (c) is the video image from which the noise of (b) has been removed.

(a) of FIG. 5 is a video image that has undergone the seawater interface analysis step (S20), and (b) is a video image in which the complexity (roughness) of the sea level is expressed as an edge in the video image of (a) of FIG. 4 .

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

In the wave observation method using an image recording camera for marine observation buoy according to an embodiment of the present invention, first, the image acquisition step (S10) is real-time image information for observing the sea through the camera module unit 120 installed in the marine buoy. Acquired from the server computer 200 at user-specified time intervals.

More specifically, in the marine buoy in which the image capturing camera module for the marine observation buoy is installed, when a shooting command is issued to the processing board installed in the marine buoy from the land, the camera module unit 120 installed in the marine buoy is used by the user. Starts shooting at a specified time interval, and the image data captured from the camera module unit 120 collects images in a storage space in the processing board.

In order to transmit the image collected in the storage space to the server computer 200 side, the data division unit 140 converts analog data into digital data, and the converted digital data is transmitted to the ocean buoy transmission unit 160 . The digital data transmitted from the server computer 200 is received by the receiver 210 of the server computer 200 , and the digital data received from the receiver 210 is converted into analog data by the data merging unit 220 .

By going through this process, the server computer 200 can check the image taken from the camera module unit 120 installed in the marine buoy.

Next, the seawater boundary surface analysis step (S20) analyzes the seawater boundary surface in the image through the image pre-processing process in the image processing unit 230 based on the image information acquired in the image acquisition step (S10).

Based on the obtained image information, the sea level is detected by detecting the sea boundary line of the ocean area, the sky and the reflected light area are removed using the detected sea boundary line, and the noise removal process is performed to sharpen the image.

To be more specific, a computer cannot recognize a video image immediately like a human does. If the image received by the user reflects light or is too dark, the speed at which the computer processes the image decreases dramatically. Therefore, an image preprocessing process is necessary to appropriately adjust the image image to the user's purpose.

The sea boundary line detection in the sea area can be detected using an edge filtering or edge detection technique in the sea level detection unit 231 .

Edge refers to the part that exists at the point where the brightness of the digital image changes from low to high or from high to low. In the end, the edge refers to the boundary of an object in the image. It contains a variety of information, such as being able to detect a direction. Through the process of finding pixels corresponding to such an edge, the boundary line between the sky and the sea level can be recognized in a digital image using a combination of one or more methods including Sobel, Prewitt, and Roberts. do.

In addition, since the horizon in the ocean is expressed as a straight line, a combination of one or more of methods including Hough Transform, Least-Square Method, and RANSAC (RANdom SAmple Consensus) is used based on sea boundary information. Thus, it is possible to detect a horizontal line, and it is possible to analyze the center position and inclination of the horizontal line using the detected horizontal line.

The removal of the sky and the reflected light region removes noise and white light through a method including morphology opening and expansion operations in the white light removal unit 232 .

In addition, in the obtained image information, small areas such as noise for sharpening the wrinkles (blue) of the sea (eg, backlight, noise that may be caused by seawater splashing on the camera lens) are removed by the noise removing unit 233. do the work

The noise removal operation considers all techniques including quantizing, Gaussian, and salt and pepper.

Next, in the sea level analysis step (S30), the sea level analysis unit 234 extracts a sea level area from the image analyzed on the sea level boundary, and analyzes the roughness of the sea level from the extracted area.

In order to analyze the roughness of the sea level, the image is converted into a black and white image using a segmentation method, and then the background and the sea level are separated using a threshold value. Here, the binarization value can be arbitrarily set by the user as a specific value. Figure 4 (b) is an example of output after designating a binary value of 10 in a black-and-white image.

Therefore, the sea level area is extracted from the image analyzed on the sea water boundary surface, and the complexity (roughness) of the sea is analyzed using the Canny Edge technique.

Next, in the roughness class classification step ( S40 ), the determination unit 240 classifies the result value according to the roughness analysis of the sea level into roughness classes (eg, step 5, 1 to 5).

The roughness is classified by using the point that the roughness value increases when there are many waves and the roughness value decreases when there are no waves.

Next, the merge grade generating step ( S50 ) generates a merge grade for reducing the error range of the estimated wave height for the classified roughness grade in the determination unit 240 .

Here, the merge grade refers to a grade value set within a certain error range in consideration of a case where data obtainable from an image is not accurate.

In the numerical data acquisition step ( S60 ), the wind direction and wind speed are measured from the sensor unit 150 , and numerical data on the measured wind direction and wind speed are acquired from the server computer 200 through the receiving unit 210 .

More specifically, the wind speed sensor and the wind direction sensor in the marine buoy are measured in real time by the sensor unit 150 including the wind direction and wind speed, and the measured wind direction and wind speed data are collected in a storage space within the processing board. and is transmitted to the receiver 210 of the server computer 200 through the transmitter 160 .

Next, the wind speed rating step (S70) gives the wind speed rating corresponding to the Beaufort wind rating table (Table 1) in the determination unit 240 to the measured wind speed.

Classes sea state Wind speed (m/s) Wave height (m) 0 It is so calm that the sea surface reflects like a mirror. <0.3 0 One The waves are small like fish scales, and there are no bubbles. 0.3~1.5 0.1 2 The wave is small, the crest of the wave is not broken and the shape is clear. 1.5~3.3 0.2 3 The waves get bigger and the crests of the waves break, creating bubbles, and sometimes white waves are visible. 3.3~5.5 0.6 4 The waves rise, the wavelengths get longer, and white waves start to appear a lot. 5.5~8.0 One 5 The waves rise a little, and bubbles begin to form. 8.0 to 10.8 2 6 The waves start to rise, and the foam expands and splashes are formed. 10.8~13.9 3 7 The waves rise, and the waves break each other to form bubbles, which are blown away by the wind. 13.9~17.2 4 8 The waves are quite high, the waves are longer and the ends of the ridges are upside down. Bubbles blown in the strong wind. 17.2~20.7 5.5 9 The waves are high, and the foam takes on a dark stripe with the wind. The floor scatters and dries, and visibility deteriorates due to water spray. 20.7~24.5 7 10 The waves form a long ridge on the side and are very high, and the water bubbles form large lumps and are blown away by strong winds. The waves break badly and visibility is poor. 24.5~28.4 9 11 The waves are very high, and the surrounding ships cannot be seen by the waves, and long lines of foam cover the sea. Visibility is extremely bad. 28.4~32.6 11.5 12 The waves are very high, and the sea is full of foam and splashes, so it is difficult to tell even an inch ahead. >32.6 >14

Next, in the approximate wave height calculation step ( S80 ), the determination unit 240 calculates a value of the wave height based on the wind power rating.

The wave height of the Beaufort wind speed rating table is estimated in proportion to the measured wind speed by dividing the range section of the wind speed corresponding to the grade of the Beaufort wind speed rating table (eg, 5 sections). For example, if the wind speed is 9.4 m/s, the wave height can be estimated as 2.5 m.

Next, the wave height estimation step (S90) is performed by using the approximation value of the merge grade generated in the merge grade generating step (S50) and the wave height estimated in the wave height approximate value calculation step (S80) and a preset correction constant. The determination unit 240 estimates the height of the wave height through calculation.

Next, in the wave height comparison and analysis step (S100), the height of the estimated wave height in the determination unit 240 is compared with the actual wave height information.

Next, the accuracy improvement step (S110) compares the estimated height of the wave height with the actual wave height information in the determination unit 240 to reduce the error range by using a deep learning technique when out of the error range.

The error range is the error range (eg, <0.9, >1.1) set by the user by dividing the estimated height of the wave height by the actual wave height value. to go through a re-learning process. The deep learning considers both a supervised learning technique and an unsupervised learning technique that does not specify a target variable.

Next, the accuracy calculation step (S120) is performed between the height of the estimated wave height and the actual wave height in the determination unit 240 in order to verify the reliability of the result value calculated in the wave height comparison and analysis step (S100). Calculate the accuracy.

The data including the wind speed, wind direction, estimated wave height, actual wave height, image, roughness class, and merge class obtained in the above steps are stored in the database unit 250, and the stored data is later used for deep learning calculations and big data. It can be used for used statistical data, etc.

Next, a description will be given of a wave observation system using an imaging camera for marine observation buoys according to an embodiment of the present invention having the process as described above.

A wave observation system using an image recording camera for marine observation buoy is a marine buoy in which an image photographing camera module for marine observation buoy is installed, as a whole, a control unit 110, a camera module 120, an image collection unit 130, The buoy 100 and the receiver 210, the data merging unit 22, the image processing unit 230, the image determination unit 240 including the data division unit 140, the sensor unit 150, and the transmission unit 160, and a server computer 200 including a database unit 250 .

First, the control unit 110 receives a control command from a user terminal using a telecommunication network.

The telecommunication network includes a single Inmarsat satellite communication network, an LTE transmission network, and a VHF transmission network for maritime monitoring.

The user terminal includes the server computer 200, a general personal computer, a smart phone, and a terminal used in a ship.

Next, the camera module 120 is controlled by receiving a command from the controller 110 , and captures a sea image and transmits the sea image to the image collection unit 130 .

The camera module 120 is installed for the purpose of collecting five cameras in a cylindrical case to take pictures in 360° omnidirectional, and to collect marine observation data through long-distance communication (eg, satellite communication).

Next, the image collecting unit 130 collects images provided from the camera module 120 .

The image collecting unit 130 further includes a storage space for collecting the image.

Next, the data division unit 140 converts the collected image analog data into digital data in order to transmit the image collected by the image collection unit 130 to the server computer 200 side and transmits the converted digital data. easily divided into

Next, the sensor unit 150 is controlled by the control unit 110 and measures wind speed and wind direction.

Next, the transmission unit 160 transmits the digital data divided by the data division unit 140 and the wind speed and direction data measured by the sensor unit 150 to the server computer 200 side.

The transmitter 160 can transmit in real time through a communication network including satellite communication and a mobile phone network.

Next, the receiver 210 receives the divided digital data and the wind speed and direction data transmitted from the transmitter 160 .

Next, the data merging unit 220 receives the digital data to be divided from the receiving unit 210 and merges the digital data in the form of an image that can be analyzed.

Next, the image processing unit 230 generates a blue observation image through an image preprocessing process in order to analyze a wave based on an image that can be analyzed through the data merging unit 220 .

The image processing unit 230 further includes a sea level detecting unit 231 , a white light removing unit 232 , a noise removing unit 233 , and a sea level analyzing unit 234 .

The sea level detection unit 231 performs a process of finding the sea level by detecting the sea boundary line of the ocean region from the analyzeable image.

The white light removal unit 232 performs a process of removing the sky and the reflected light area using the boundary line detected by the sea level detection unit 231 .

The noise removing unit 233 performs a process of removing noise from the image from which the sky and reflected light regions are removed by the white light removing unit 232 .

The sea level analysis unit 234 performs a process of analyzing the sea level from the image from which the noise is removed by the noise removing unit 233 .

Next, the determination unit 240 estimates the height of the wave height using the wind speed and wind direction data transmitted to the receiving unit 210 based on the wave observation image, and compares the estimated wave height with the actual wave height. do.

Next, the database unit 250 stores the data corresponding to the sea information including the accuracy calculated by comparing the estimated wave height with the actual wave height, the wave height, and the wind speed.

Therefore, the wave observation system using the image recording camera for the marine observation buoy uses the telecommunication network including the satellite communication network for the image information photographed by installing the camera module unit 120 on the marine observation buoy 100 to the server The data is transmitted to the computer 200 to enable real-time sea observation, and the image information is analyzed through the image pre-processing process through the image processing unit 230 to analyze the sea level, and the wind direction and wind speed data measured from the sensor unit 150 and The wave scale is precisely observed in conjunction with each other, and the reliability of the wave estimation is determined through the determination unit 240 .

Accordingly, by using the camera module unit 120 to enable wave observation, the system is lighter in weight compared to marine observation equipment equipped with an expensive wave height sensor, thereby reducing the introduction cost, and in the wave estimation It has the effect of improving the precision of ocean weather observation and ocean weather forecasting through reliability judgment.

Although embodiments of the present invention have been described with reference to the above and the accompanying drawings, those of ordinary skill in the art to which the present invention pertains can practice the present invention in other specific forms without changing its technical spirit or essential features. You can understand that there is Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

S10: image acquisition step S20: seawater interface analysis step
S30: sea level analysis step S40: roughness class classification step
S50: Merge grade generation step S60: Numerical data acquisition step
S70: Wind speed rating step S80: Wave height approximate value calculation step
S90: Wave height estimation step S100: Wave height comparison analysis step
S110: Accuracy improvement step S120: Accuracy calculation step
100: buoy 110: control
120: camera module unit 130: image collection unit
140: data division unit 150: sensor unit
160: transmitter 200: server computer
210: receiving unit 220: data merging unit
230: image processing unit 231: sea level detection unit
232: white light removal unit 233: noise removal unit
234: sea level analysis unit 240: image determination unit
250: database

Claims (7)

In the marine buoy in which the imaging camera module for the marine observation buoy is installed,
An image acquisition step of photographing the sea through the camera module unit installed on the marine buoy, and acquiring the captured real-time image information from a server computer at user-specified time intervals;
a seawater boundary surface analysis step of analyzing a seawater boundary surface in an image through an image pre-processing process in an image processing unit based on the image information obtained from the server computer;
a sea level analysis step of extracting a sea level area from the sea level analysis unit from the analyzed image of the sea water boundary surface, and analyzing the roughness of the sea level from the extracted area;
a roughness class classification step of classifying a roughness class by receiving a result value according to the roughness analysis of the sea level from a determination unit;
a merge grade generation step of generating, in the determination unit, a merge grade for reducing an error range of an estimated wave height for the classified roughness grade;
a numerical data acquisition step of measuring the wind direction and wind speed from the sensor unit, and acquiring numerical data on the measured wind direction and wind speed from the server computer through the receiving unit;
a wind speed rating step of assigning a wind speed rating corresponding to the Beaufort wind rating table in the determination unit to the measured wind speed;
a wave height approximate value calculation step of calculating an approximate value of the wave height height based on the wind power rating in the determination unit;
a wave height estimation step of estimating the height of the wave height through calculation in the determination unit using the correction constant and the approximate value of the wave height estimated in the merge grade generated in the merge grade generating step and the wave height approximate value calculating step;
a wave height comparison analysis step of comparing the estimated wave height height with the actual wave height information in the determination unit;
an accuracy improvement step of reducing the error range by re-learning using a deep learning technique when the estimated crest height and the actual crest height information are compared in the determination unit and out of the error range; and
A wave observation method using an imaging camera for ocean observation buoy comprising a; an accuracy calculation step of calculating the accuracy in the determination unit in order to verify the reliability of the result value calculated in the wave height comparison and analysis step.
According to claim 1,
The image acquisition step is
An image collecting step of photographing an image from a camera module unit installed on a marine buoy, and collecting the image from an image collecting unit;
a digital data conversion step of receiving the analog image data from the data division unit and converting the image analog data into digital data in order to transmit the collected image to the server computer;
a transmission step of receiving the converted digital data from the data division unit at the transmitting unit of the marine buoy, and transmitting the digital data from the transmitting unit to the receiving unit of the server computer; and
An analog data conversion step of receiving the digital data from the data merging unit from the receiving unit and converting the digital data into analog data.
According to claim 1,
The seawater interface analysis step is,
a sea level detection step of finding the sea level by detecting the sea boundary of the sea area by a sea level detection unit based on the obtained image information;
a white light removal step of removing the sky and the reflected light region from the white light removal unit using the boundary line detected by the sea level detection unit;
Using an image capturing camera for marine observation buoy, characterized in that it further comprises; receiving the image that has undergone the white light removing step from the noise removing unit and removing small areas such as noise in order to sharpen the image. Blue observation method.
According to claim 1,
The sea level analysis step further comprises an edge filtering step of expressing the complexity (roughness) of the sea level as an edge using edge filtering in the sea level analysis unit for the image that has undergone the sea level boundary analysis step. A blue observation method using a photographic camera.
According to claim 1,
The wave height approximate value calculation step divides the wind speed range section corresponding to the class of the Beaufort wind power rating table and estimates the wave height of the Beaufort wind speed rating table in proportion to the measured wind speed in the wind speed range section. A method of observing waves using an imaging camera for observation buoys.
In the marine buoy in which the imaging camera module for the marine observation buoy is installed,
a control unit receiving a control command from a user terminal using a telecommunication network;
a camera module for capturing a sea image controlled by receiving a command from the control unit;
an image collection unit for collecting images provided from the camera module;
a data division unit that converts analog data into digital data and divides the data in order to transmit the image collected by the image collection unit to a server computer;
a sensor unit that is controlled by the control unit and measures wind speed and wind direction;
a transmission unit for transmitting the digital data divided by the data division unit and the wind speed and direction data measured by the sensor unit to the server computer side;
a receiving unit receiving the divided digital data and the wind speed and wind direction data transmitted from the transmitting unit;
a data merging unit that receives the divided digital data from the receiving unit and merges the data into an analytic image form;
an image processing unit for generating an image for observing a wave through an image pre-processing process to analyze a wave based on the analytic image;
a determination unit for estimating a wave height using the wind speed and wind direction data transmitted to the receiver based on the wave observation image, and comparing and determining the estimated wave height with the actual wave height; and
A wave observation system using an imaging camera for marine observation buoys comprising a; a database unit for storing marine information including accuracy calculated by comparing the estimated wave height with the actual wave height, and the wave height and wind speed.
7. The method of claim 6,
The image processing unit,
a sea level detection unit for detecting the sea level by detecting the sea boundary of the sea area from the analysable image;
a white light removal unit for removing the sky and the reflected light area using the boundary line detected by the sea level detection unit;
a noise removing unit for removing noise from the image from which the sky and reflected light regions are removed from the white light removing unit; and
A wave observation system using an image capturing camera for ocean observation buoy, characterized in that it further comprises; a sea level analysis unit for analyzing the sea level from the image from which the noise has been removed by the noise removing unit.

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