JP5283214B2 - Fixed point observation apparatus and fixed point observation method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a fixed point observation apparatus and a fixed point observation method for accurately observing the motion of the celestial bodies without being affected by restrictions on weather or time. <P>SOLUTION: A transparent hemisphere marked with a scale 11 of equisolid angle, coordinate system or the like is mounted on a flat plate 61 of a base 6. The base 6 is installed horizontally by using a leveling instrument 4, and is supported at a prescribed height by legs 62. A camera 3 equipped with a fisheye converter lens 2 is held, through a hole 63 of the flat plate 61, by a holding section 64 fixed to the legs 62 via supports 65 so that the optical axis of the lens is aligned with a straight line A passing through the zenith and the center of the transparent hemisphere 1. The camera 3 picks up the celestial bodies through the transparent hemisphere 1 marked with the scale 11 at predetermined time intervals. <P>COPYRIGHT: (C)2010,JPO&amp;INPIT

Description

  The present invention relates to a fixed-point observation apparatus and a fixed-point observation method for globally and simply performing measurements of celestial bodies, for example, the azimuth and elevation angles of the sun and cloud cover.

  Conventionally, there is a case where a lesson for learning a celestial body, for example, the movement of the sun, is performed in science education. In this class, an experiment was conducted in which the sun position was recorded every predetermined time on a transparent hemisphere installed in the field, and the student was observed to observe that the sun position was changing.

  In the above experiment, due to weather and time constraints, it was difficult to observe the movement of the sun from sunrise to sunset and the change in the movement of the sun due to the difference in season, and improvements were desired.

  On the other hand, with the recent spread of networks, a technology is disclosed in which a server connected to a camera distributes sun images captured by a camera to user terminals via the network (see Patent Document 1). According to this technology, the user can obtain an image of the sun at a remote location in real time.

  In addition, a technique for measuring the solar radiation conditions of a mesh in which the sky is reflected by combining a landscape image captured by a camera using a fisheye lens with a mesh pattern image created by a computer is known (patent) Reference 2). In this technique, transparent sheets on which images are printed are overlapped, and a composite diagram is created by rotating the transparent sheets by a predetermined angle while keeping the centers of the overlapped transparent sheets fixed to match the orientations of the sheets.

Japanese Patent Laid-Open No. 10-248061 JP 05-066153 A

  If the techniques of Patent Documents 1 and 2 are used, a mesh pattern created by a computer can be synthesized with a sun image captured by a camera and distributed to a computer installed in a classroom or the like via a network. Thereby, the present sun position etc. can be observed without worrying about the weather etc.

  However, in imaging using a wide-angle lens such as a fish-eye lens, light rays are incident from a large angle with respect to the optical axis of the lens, so color blurring and peripheral light reduction are likely to occur in the captured image. Further, when imaging an extremely bright light source such as the sun, the luminance is high, and therefore, irregular reflection within the lens tends to cause stray light such as ghosts and flares. In night imaging, the effective luminance value in the field of view may be buried in electronic noise even when dark current processing is performed. Therefore, in many cases, an image captured using a fisheye lens is not clear around the visual field.

  As described above, in imaging in a wide wavelength region, since the focal length differs depending on the wavelength, chromatic aberration that causes a difference in image size and position occurs. For this reason, even if the mesh pattern is calculated from the optical performance such as the focal length and viewing angle of the lens, the projection of the captured image cannot be accurately represented. Further, when trying to calculate a mesh pattern from a distance on a captured image or a pixel distance instead of the focal length of the lens, the boundary around the visual field is not clear, so that the accuracy is lacking.

  Accordingly, an object of the present invention is to provide a fixed point observation apparatus and a fixed point observation method capable of accurately observing the movement of a celestial body without being affected by weather and time constraints.

The fixed point observation method of the present invention includes an imaging step in which an imaging unit images a subject from the inside of a transparent hemisphere with a scale, and the imaging unit in a computer via a network in the imaging step A fixed point observation method comprising: a distribution step of distributing captured image data; and the computer is configured to perform an image acquisition step of acquiring the image data, and color division for performing color division processing on the acquired image data A block determining step for determining a block based on the scale detected from the acquired image data, a binarization step for binarizing the luminance value of the color-divided image data, and binarization Compartment weather for determining whether each section is sunny or cloudy based on the color of the pixels in each section in the processed image data A constant step, all the ratios of the number of partitions of the haze in the number of partitions and executes the cloud cover determining step of determining as a cloud cover.
Further, the fixed point observation apparatus of the present invention, an imaging auxiliary unit having at least a transparent hemisphere with a scale, imaging means arranged at a position capable of imaging a subject from the inside of the transparent hemisphere over the transparent hemisphere, A fixed point observation apparatus comprising: a network connected to the imaging means; and a computer connected to the network, wherein the computer captures the imaging via the network. Means for acquiring image data captured by the means; means for performing color division processing on the acquired image data; means for determining a section based on the scale detected from the acquired image data; Based on the means for binarizing the luminance value of the image data and the color of the pixels in each section in the binarized image data, Means for determining any of the sunny or cloudy compartments, all the ratios of the number of partitions of the haze in the number of partitions you comprising: a means for determining the cloud cover.
The computer may include an image storage unit that stores the image data.

  By installing the fixed point observation apparatus of the present invention in each region of the world, celestial bodies due to differences in the latitude and longitude of the earth, for example, the position of the sun on the celestial sphere and the trajectory on the celestial sphere, the movement of clouds, You can see the difference in cloud cover at a glance. Also, the azimuth / elevation angle, cloud movement, and cloud cover of the sun in every region / season can be recorded as actual images, and these images and images can be published on the network via a server, and the sun's diurnal motion and cloud cover. Etc. can be observed and learned in a short time. In addition, by imaging a celestial body through a transparent hemisphere having a scale, it is possible to easily and uniquely determine the amount of movement and position change of the celestial body over time based on the captured scale.

<Embodiment 1>
Hereinafter, an embodiment when the fixed point observation apparatus X of the present invention is applied to all-sky observation will be described in detail with reference to the drawings. FIG. 1 is a diagram schematically showing the overall configuration of the fixed point observation apparatus X of the present embodiment. FIG. 2 is a view showing a part of the side surface of the fixed point observation apparatus X of the present embodiment.

  In FIG. 1 or 2, 1 is a transparent hemisphere which provided the scale 11 on the spherical surface which has a hemisphere and a hollow part at least. 2 is a fisheye converter lens, 3 is a camera, 4 is a spirit level, 5 is a compass, 6 is a base, 7 is a network interface, 8 is a server, 9 is a network, 10a and 10b are for observation and display. A plurality of computers (hereinafter referred to as computer 10 and the like).

  The transparent hemisphere 1 has a hollow portion to make it difficult to absorb and scatter light, and is made of a highly transparent material such as acrylic resin or quartz glass. Moreover, since the transparent hemisphere 1 is installed outdoors, it is desirable that the transparent hemisphere 1 has curability that can withstand wind and rain. The transparent hemisphere 1 may be colored, and is provided with a filter function of allowing only a predetermined wavelength to pass by being a material containing a light absorbing substance or having a spherical surface coated with color. Also good. For example, the transparent hemisphere 1 may be black with transparency to the extent that the position of the sun can be confirmed if it is daytime imaging.

  A scale 11 such as an equal solid angle or a coordinate system is attached to the transparent hemisphere 1 according to the measurement method. The scale 11 may be a straight line, a broken line, or a dotted line, and may be any size and shape that can be recognized as a scale. The scale 11 may be attached to the entire transparent hemisphere 1 or may be attached to a part of the transparent hemisphere 1. In the present embodiment, the horizon coordinates representing the position of the celestial body in terms of altitude and azimuth are defined as the scale 11.

  Since the scale 11 is clearly imaged in a wide wavelength range from infrared to visible light, for example, black that absorbs visible light is used for daytime sun imaging, and infrared at night. It is preferable to use a heat ray or the like that radiates. Further, if a substance having a phosphorescent property such as zinc sulfide type or aluminate type strontium type is used for the scale 11, the scale 11 emits light at night, so that all-day imaging is possible. Also, the scale 11 on the side corresponding to the zodiac road is black, which is the opposite color of the sun, and the scale 11 on the side not corresponding to the zodiac path is yellow, which is the opposite color of the sky blue. The scale 11 may be expressed using. Further, the background value of the scale 11 in the imaging wavelength range may be measured, and a value opposite to the value may be used as the scale 11.

  The transparent hemisphere 1 is placed on the flat plate 61 of the base 6 with the zenith up so that the hole 63 is located in the center. The transparent hemisphere 1 only needs to have at least a hemisphere simulating a celestial sphere, and the shape of the opening contacting the flat plate 61 is not limited. That is, in order to make the transparent hemisphere 1 easy to be placed on the flat plate 61, an opening is formed in the opening of the transparent hemisphere 1 so that the flat plate 61 and a horizontal fixing piece, for example, a ring in which the cut surface of the transparent hemisphere 1 is substantially Ω-shaped. May be. Moreover, a cylindrical body, a foot, or the like may be joined along the opening of the transparent hemisphere 1 so that the height of the transparent hemisphere 1 can be adjusted.

  The base 6 includes a flat plate 61, a foot portion 62, and a holding portion 64. The flat plate 61 has a hole 63 in the center, and is supported by the foot 62 at a predetermined height from the ground. The hole 63 is larger than the size into which the lens of the camera 3 can be inserted and is smaller than the size of the opening of the transparent hemisphere 1. On the upper surface of the flat plate 61, the level 4 and the azimuth magnet 5 are installed. When the scale 11 is related to the orientation, the orientation of the scale 11 and the geographical orientation can be matched based on the compass magnet 5. The base 6 is installed horizontally with the level 4 as a reference. Therefore, the foot 62 is preferably adjustable in height for each foot. Further, a holding portion 64 is fixed to the foot portion 62 by a support portion 65 so as to be positioned at the center of the hole 63. The holding unit 64 has a box-like shape that can hold the camera 3.

  The camera 3 is equipped with a fisheye converter lens 2 in which the optical axis of the lens of the camera 3 is aligned with the optical axis. The fish-eye converter lens 2 is preferably capable of imaging at a stereoscopic viewing angle of 2π (180 ° plane angle) in order to capture the whole sky. Needless to say, the fish-eye converter lens 2 is not necessary in the case of the camera 3 having a fish-eye lens capable of imaging equivalent to the fish-eye converter lens 2. Hereinafter, in this embodiment, the lens of the camera 3 and the lens of the fisheye converter lens 2 are collectively referred to as the lens of the camera 3. It is assumed that the camera 3 can capture moving images or still images, and is set to automatically capture images continuously or intermittently.

  In order to perform the whole sky observation, the camera 3 has a straight line A passing through the zenith and the center of the transparent hemisphere 1 and the optical axis of the lens of the camera 3 through the hole 63 so that the focal position of the lens of the camera 3 is determined. The scale unit 11 is held by the holding unit 64 in a state of being aligned on a horizontal plane at an altitude of 0 degrees.

  The projection image of the fisheye lens is obtained by projecting the entire field of view onto a spherical surface with a radius r centered on the viewpoint (camera center), and projecting the projection result onto a plane. Therefore, by making the straight line A coincide with the optical axis of the camera 3, the scale 11 is equidistant from the camera 3, so that the projected image of the camera 3 can be easily measured based on the scale 11. In the present embodiment, since the base 6 is installed horizontally, the transparent hemisphere 1 placed on the base 6 is also horizontal, so the straight line A is a vertical line and is suitable for all-sky observation.

  The camera 3 also has a web server function for publicizing the network, and is connected to the network via a network interface 7 such as a broadband router. Similarly, the server 8 and the computer 10 are also connected to the network via a network interface (not shown).

  In addition, the camera 3 that is compatible with the wireless LAN is suitable because it is not necessary to consider the position of the LAN cable, and communication devices such as the network interface 7 can be managed indoors. In addition, when using the normal camera which does not have a network function instead of the camera 3, what is necessary is just to add and provide the network camera server etc. provided with the function which can make a camera image public on a network. Further, in order to be portable, a battery or the like may be used to power a device installed outdoors such as the camera 3.

  The camera 3 stores the captured images and video data in the server 8 via a network and publishes them on a predetermined website. The camera 3 may transmit or store captured images and video data to the computer 10 or the like via a network.

  The computer 10 or the like accesses the Web site, the server 8, or the camera 3 directly that discloses the image data of the camera 3 via the network, acquires the image data and displays it on the display. The control of the camera 3 is preferably performed from the server 8 or the computer 10 via a network.

  Thus, since the captured image data and the like are stored in the server 8, for example, by continuously reproducing the stored image data in the order in which they were stored, the trajectory of the diurnal motion of the sun during class time can be obtained. It can be confirmed by displaying it on the computer 10 or the like. Further, even if the accumulated image data is superimposed along the scale 11 or the center of each image data is overlapped to synthesize one piece of image data, the change in the position of the sun can be confirmed from the synthesized image. Good.

  In addition, it is possible to learn to compare the sun's orbit by season by accumulating captured image data. FIG. 3 shows changes in the position of the sun during the four seasons. As shown in FIG. 3, for example, on the basis of accumulated image data, from the four seasons of an observation point, the measurement results of azimuth and elevation at regular intervals are shown with the azimuth on the horizontal axis and the elevation on the vertical axis. By plotting as (altitude), you can see the difference in orbits for each season. Further, by installing the fixed point observation apparatus X in various parts of the world, it is possible to compare the difference in movement of the sun and the like due to the difference in latitude and longitude.

  The scale 11 is also affected by the same chromatic aberration as the subject. However, since the aberration amount at the time of imaging is the same for the scale 11 and the subject, the change in the position of the sun can be relatively confirmed based on the scale 11. Thereby, regardless of the projection method of the lens, the detailed optical performance of the lens is unknown, or any type of camera, the scale 11 is included in the captured image data. Therefore, the position change of the subject can be expressed easily and accurately. Further, by correcting chromatic aberration and other aberrations based on the scale 11, the aberration of the entire image data can be easily corrected.

  In the present embodiment, the transparent hemisphere 1 and the camera 3 are installed using the base 6, but the base 6 is not necessarily required if the subject can be imaged so that the scale 11 falls within the imaging range. For example, the transparent hemisphere 1 may be put on the camera 3 placed on the ground. The straight line A only needs to pass through one point of the transparent hemisphere 1, and does not necessarily pass through the zenith and center of the transparent hemisphere 1.

  In addition, in this embodiment, the diurnal motion of the sun is exemplified, but by using a highly sensitive camera, the moon and stars at night can be observed in real time, and the state of motion can be displayed, For example, it is possible to display changes over several days such as the moon phases and changes in position such as constellations accompanying seasonal changes. Further, if the camera 3 images the coastline through the scale 11 of the transparent hemisphere 1, the wave height can be measured based on the scale 11. Needless to say, the image data may be stored not only in the storage of the image data via the network 9 but also in the memory or film of the camera 3.

  Further, in the present embodiment, the all-sky observation using the camera 3 that can capture the entire circumference has been described. However, when it is not necessary to fit the entire circumference in the imaging range, the lens type of the camera 3 is not limited to the fisheye lens. It can be anything. In this case, since the camera 3 only needs to be able to image the subject through the scale 11 of the transparent hemisphere 1, the installation direction of the transparent hemisphere 1 and the imaging direction of the camera 3 are not limited. For example, a camera installed in the transparent hemisphere 1 with the zenith facing upward and the scale 11 indicating the altitude and orientation, with the imaging direction facing north and a wide-angle lens with a narrower viewing angle than a fisheye lens 3 is imaged through the scale 11 of the transparent hemisphere 1 at night, the movement of the constellation in the north direction can be confirmed by the captured scale 11.

<Embodiment 2>
The fixed point observation apparatus X shown in FIG. 2 can be applied to the cloud amount measurement. FIG. 4 is a functional block diagram of the server 80 (corresponding to the server 8 of the first embodiment) according to the present embodiment. In FIG. 4, solid arrows indicate the flow of data, and dotted lines indicate the flow of control signals. The same components as those in the first embodiment are denoted by the same reference numerals, and description thereof is omitted.

  The server 80 includes a cloud amount measurement control unit 86 that controls the image acquisition unit 82, the image processing unit 83, and the cloud amount determination unit 84, an image storage unit 81, and a display unit 85. The image storage unit 81 includes an HDD (Hard Disk Drive) or the like, and stores image data captured by the camera 3. The display unit 85 includes a display or the like and displays the cloud amount. The cloud amount measurement control unit 86 includes a CPU (Central Processing Unit) and the like, and performs the processing of this embodiment by executing a program stored in a storage unit (not shown).

  Next, the processing of the image acquisition unit 82, the image processing unit 83, and the cloud amount determination unit 84 will be mainly described with reference to FIG. FIG. 5 is a flowchart of cloud amount measurement. FIG. 6 is an image captured by the camera 3 of the transparent hemisphere 1 with the scale 11 having an equal solid angle (2π / 15 steradians). It is assumed that image data as shown in FIG. 6 captured by the camera 3 is stored in the image storage unit 81 in advance. The scale 11 of this embodiment represents the boundary of the division mentioned later.

  First, the image acquisition unit 82 acquires image data from the image storage unit 81 and passes it to the image processing unit 83 (step a1).

  Next, the image processing unit 83 color-divides the image data into RGB (step a2). The image processing unit 83 reads the scale 11 from the image data, and detects the boundary of the section (scale 11). The image processing unit 83 performs a partition determination process for determining each partition based on the detected partition boundary (scale 11), with a continuous pixel region within the partition boundary as one partition (step a3). For example, when the scale 11 is black, the image processing unit 83 may read a pixel having R + G + B <= threshold (additional color method) as the scale 11. The subsequent processing is performed for each detected section.

The image processing unit 83 calculates the image data color-divided into RGB by (a × Blue-Red) ⁿ (step a4). Note that a and n are constants depending on the imaging optical system. In Red, a portion with a cloud is output with higher brightness than a portion without a cloud. In Blue, there is no difference between a cloudy part and a cloudless part as much as Red. When all of RGB are high in brightness, the color is white, so that the part is cloudy. When only Blue is high in brightness and Red is low in brightness, the part has no cloud, that is, clear. In order to make this difference, Blue is multiplied by a to give a difference from Red. Although there is a wavelength dependency of the optical system depending on the camera 3, a can be processed by 1 basically. Note that a may be 0 in some cases. Further, n is used to to highlight luminance value and, defined as a threshold value (a × ^Blue-Red) integer or computed value ⁿ derived from ^{(a × Blue-Red) n} . In many cases, there is no problem if n is processed by 1 similarly to a. However, when it is necessary to fix the value of a when objects such as buildings other than clouds and sky are reflected in the image data, by increasing the value of n, the objects such as buildings and the measurement object Can be easily distinguished from clouds and sky.

  As the binarization process, the image processing unit 83 compares the luminance value of the calculated image data with a predetermined threshold (step a5), sets the color of the pixel having a luminance value greater than the threshold to white (step a6), and is equal to or lower than the threshold. The pixel of the luminance value is black (step a7). The predetermined threshold is a value that depends on the imaging optical system. Then, the image processing unit 83 determines whether or not the binarization processing for all luminance values has been completed (step a8). When the image processing unit 83 determines that the binarization processing has ended (Yes in step a8), the image processing unit 83 passes the binarized image data to the cloud amount determination unit 84 and determines the weather for each section. (Step a9). When the image processing unit 83 determines that the binarization processing has not ended (No in step a8), the processing of step a5 to step a8 is repeated. FIG. 7 is an image diagram of the image data after the binarization processing.

  Next, the cloud amount determination unit 84 compares the number of white and black pixels in each section detected by the image processing unit 83, and determines the weather of each section to be clear or cloudy (step a9). Specifically, the weather when the number of white pixels is larger than the number of black pixels is clear, and the weather in other cases is cloudy.

  After determining the weather for all the sections, the cloud amount determination unit 84 outputs, for example, a cloud amount representing the ratio of the number of cloudy sections in the total number of sections in ten steps to the display unit 85 (step a10).

  With the above processing, the cloud amount can be measured based on the scale 11 of the captured image data. Moreover, since cloud amount measurement can be performed based on image data with a clear visual field boundary, measurement can be performed with high accuracy. In addition, the accuracy of cloud amount measurement can be improved by increasing the number of divisions of the scale 11. In step a10, the cloud amount determination unit 84 outputs the cloud amount to the display unit 85. However, the cloud amount determination unit 84 may print it on paper or read it out by voice.

  In addition, by measuring the cloud amount at regular intervals and plotting the measurement results with the horizontal axis as the measurement time, a graph that makes it easy to visually understand the change in the cloud amount can be obtained. FIG. 8 is an example of a graph in which changes in cloudiness during the day are plotted. FIG. 8 shows the change in cloud amount from 6 am to 6 pm.

  In the above process, the binarization process is performed on image data that is color-divided into RGB, but may be performed on image data that is color-divided into CMYK. FIG. 9 is a flowchart for measuring the cloud amount by color division into CMYK. Processes similar to those in FIG. 5 are denoted by the same reference numerals and description thereof is omitted. Hereinafter, step a20 to step a80 different from the processing of FIG. 5 will be described.

  The image processing unit 83 color-divides the image data into CMYK (step a20). The image processing unit 83 reads the scale 11 from the image data, and detects the boundary of the section (scale 11). The image processing unit 83 performs a partition determination process for determining each partition based on the detected partition boundary (scale 11), with a continuous pixel region within the partition boundary as one partition (step a30). For example, when the scale 11 is black, the image processing unit 83 may read a pixel that satisfies K> = threshold (color reduction method) as the scale 11. The subsequent processing is performed for each detected section.

Next, the image processing unit 83 calculates the image data color-divided into CMYK by (Cyan / a × blacK) ⁿ (step a40). In Cyan, a cloudy part and a cloudless part are output with high brightness. With blakK, only a part with a cloud is output with low luminance.

  As the binarization process, the image processing unit 83 compares the calculated luminance value of the image data with a predetermined threshold value (step a50). Here, contrary to step a5, the image processing unit 83 sets the color of the pixel having the luminance value smaller than the threshold to white (step a60), and sets the color of the pixel having the luminance value equal to or higher than the threshold to black (step a70). . This is because Cyan is divided by blacK, so that the numerical value relationship between a cloud-present location and a cloud-free location is reversed compared to the case of RGB division. Then, the image processing unit 83 determines whether or not the binarization processing for all luminance values has been completed (step a80). When the image processing unit 83 determines that the binarization processing has ended (Yes in step a80), the image processing unit 83 passes the binarized image data to the cloud amount determination unit 84 and determines the weather for each section. (Step a9). When the image processing unit 83 determines that the binarization processing has not ended (No in step a80), the processing of step a50 to step a80 is repeated.

  By the above processing, the binarization processing of the image data color-separated by CMYK is finished, and the cloud amount can be output by performing the processing of step a9 to step a10 in the same manner as in FIG.

  It should be noted that the present invention is not limited to the above-described embodiment, and any design changes that do not depart from the gist of the present invention are included in the present invention. That is, various changes and modifications that can be made by those skilled in the art are included in the present invention.

  It can be used as a surveillance camera or astronomical observation device for fixed-point observation. When used as an astronomical observation device, it can be used as a science teaching material in school education. Furthermore, it can be used as image / video content.

It is the figure which represented typically the fixed point observation apparatus which concerns on Embodiment 1 of this invention. It is a side view of the image pick-up part of the fixed point observation apparatus concerning Embodiment 1 of the present invention. It is a figure showing the position change of the sun of four seasons using the fixed point observation apparatus concerning Embodiment 1 of this invention. It is a functional block diagram of the server which concerns on Embodiment 2 of this invention. It is a flowchart in the case of carrying out color division processing by RGB in the cloud amount measurement which concerns on Embodiment 2 of this invention. It is an image figure of the image which imaged the transparent hemisphere to which the scale of the equal solid angle concerning Embodiment 2 of the present invention was given. It is an image figure of the image which finished the binarization process which concerns on Embodiment 2 of this invention. It is a figure showing the time change of the cloud cover in the cloud cover measurement which concerns on Embodiment 2 of this invention. It is a flowchart in the case of performing color division processing by CMYK in cloud amount measurement according to Embodiment 2 of the present invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Transparent hemisphere 10a, 10b ... Observation / display computer 11 ... Scale 2 ... Fish-eye converter lens 3 ... Camera (imaging means)
4 ... Level 5 ... Directional magnet 6 ... Base 61 ... Flat plate 62 ... Foot 63 ... Hole 64 ... Holding part 65 ... Supporting part 7 ... Network interface 8, 80 ... .. server 81 .. image storage unit 82 .. image acquisition unit 83.. Image processing unit 84.. Cloud amount determination unit 85 .. display unit 86 .. cloud amount measurement control unit 9. apparatus

Claims (3)

An imaging step in which the imaging means images the subject from the inside of the transparent hemisphere with a scale, through the transparent hemisphere;
A delivery step in which the imaging means distributes the image data captured in the imaging step to a computer via a network;
In the fixed point observation method characterized by having
The computer
An image acquisition step of acquiring the image data;
A color division step for performing color division processing on the acquired image data;
A section determining step for determining a section based on the scale detected from the acquired image data;
A binarization step for binarizing the luminance value of the image data subjected to color division processing;
Based on the color of the pixels in each section in the binarized image data, a section weather determination step for determining each section as either sunny or cloudy;
All the ratio of number of partitions of the haze in the number of partitions and cloud cover determining step of determining as cloud cover
Constant point observed how to characterized in that the run. An imaging auxiliary unit including at least a transparent hemisphere with a scale, and an imaging unit disposed at a position where the subject can be imaged from the inside of the transparent hemisphere through the transparent hemisphere, In the fixed point observation equipment to
A network connected to the imaging means;
A computer connected to the network,
The computer
Means for acquiring image data captured by the imaging means via the network ;
Means for color-separating the acquired image data;
Means for determining a section based on the scale detected from the acquired image data;
Means for binarizing the luminance value of the image data subjected to color division processing;
Means for determining whether each section is sunny or cloudy based on the color of the pixels in each section in the binarized image data;
Constant point observation device you further comprising a ratio of the number of partitions of the haze in all number of partitions and means for determining the cloud cover.   The fixed point observation apparatus according to claim 2, wherein the computer includes image storage means for storing the image data.

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