KR100797518B1 - System and method for reading forest image and fabricating digital forest map - Google Patents

Abstract

A system and a method for reading a forest image and making a digital forest map are provided to read the forest image such as an aerial forest photograph conveniently, make, edit, and store the digital forest map based on the forest image easily, and search an enormous amount of data easily/conveniently in various ways based on a user or a working map. A storing part(110) stores orthophotos, aerial photos, digital maps, and related data. An I/O(Input/Output) part(120) includes an input device, a display device, and an output device. An image compressor(130) compresses an image when the orthophoto and the aerial photo are stored to the storing part, and decompresses the image when the orthophoto and the aerial photo are read/displayed to a screen of the display device. A search engine(142) provides a search function through the screen. A search controlling module(144) executes/controls the search engine, searches the orthophoto of the digital map from the storing part according to a search condition received through the screen, and reads/displays the orthophoto to the screen by linking with the image compressor. An editing engine(152) provides an editing/reading function through the screen.

Description

Forest image reading and numerical clinical production system and its method {SYSTEM AND METHOD FOR READING FOREST IMAGE AND FABRICATING DIGITAL FOREST MAP}

1 is a schematic diagram showing the configuration of a forest image reading and numerical clinical manufacturing system according to an embodiment of the present invention.

2 is a block diagram of a forest image reading and numerical clinical manufacturing system according to an embodiment of the present invention.

Figure 3 is a flow chart showing the operation of the forest image reading and numerical clinical manufacturing method according to an embodiment of the present invention.

4 is a flowchart illustrating a processing procedure of a method for reading a forest image and producing a digital clinical image according to an embodiment of the present invention.

5a to 5c is a screen example of a forest image reading and numerical clinical manufacturing method according to an embodiment of the present invention.

TECHNICAL FIELD The present invention relates to a forest image reading and numerical clinical map production system and a method thereof. Specifically, a digital image clinical map is produced, edited, stored, and outputted by mounting and reading a forest image such as a forest aerial photograph. It relates to a system and a method thereof.

The types and shapes of forests vary by region and environment. Knowing where and what forests look like is the first step in managing the forests. Furthermore, it is to provide a useful foundation for activities such as planning the use of land, environmental management, and preserving natural resources and ecosystems.

The forest map is a representative forest map showing which forests are distributed where. In Korea, clinical maps have been produced based on 1: 15,000 scale aerial photographs taken of national forests. In other words, forest aerial photographs are read with a portable stereoscopic mirror to classify species, age class, diameter class, crown density, etc. Complete with drawings.

As described above, the conventional clinical diagram is an analog paper clinical diagram produced by manual labor, which is difficult to manufacture, and has a problem that cannot be easily reflected even if modification or renewal factors such as large forest fires, pest outbreaks, and landslides occur. . In addition, the accuracy and efficiency of clinical map production are inferior because the scale of aerial photographs and the scale of topographic maps are different. . In addition, a large amount of aerial photographs or paper clinical maps are not easy to classify, store, search, manage, and utilize.

In order to improve these conventional problems, there are recent movements to produce digital numerical clinical diagrams based on Geographic Information System (GIS).

In response to this, it is an object of the present invention to provide a system and method for easily reading a forest image such as a forest aerial photograph and easily creating and editing a digital numerical clinical image based on the read result. will be.

Another object of the present invention is to provide a system and a method capable of easily and conveniently searching a large amount of data by various methods such as by user and work map.

It is still another object of the present invention to provide a system and method for facilitating the editing and clinical readout of arable land.

Another object of the present invention is to provide a system and method for systematically classifying, storing, managing forest images, numerical clinical data, and related data, and increasing their utilization.

Another object of the present invention is to improve the accuracy and efficiency of numerical clinical manufacturing and area calculation work.

In order to achieve these objects, the forest image reading and numerical clinical image production system according to the present invention includes a storage server for storing the forest image and the numerical clinical diagram and related data; One or more clients connected to the storage server through a network, wherein the one or more clients retrieve and display the forest image stored on the storage server, and provide a reading function of the forest image and a production and editing function of a numerical clinical image using the forest image. It is configured to include a terminal.

In addition, the forest image reading and numerical clinical diagram production system according to the present invention, the storage unit for storing the forest image and the numerical clinical diagram and related data; An image compression unit compressing or restoring the forest image; A retrieval unit for retrieving the forest image of a specific leaf from the storage unit according to a retrieval condition, and reading the retrieved forest image from the storage unit on the screen in cooperation with the image compression unit; It provides a reading function of the retrieved forest image, and comprises an editing unit for providing a function of producing and editing the numerical clinical picture through the reading of the forest image.

In such a system, the forest image may include a forest aerial photograph, a satellite image, and a digital image, and the search condition may include a leaf name, leaf number, administrative region name, and region selection. In addition, the reading function of the forest image may include stereoscopic reading, and the production and editing function of the numerical clinical image may include clinical boundary editing, clinical boundary editing, clinical combination, clinical division.

In addition, the forest image reading and numerical clinical map production system according to the present invention, a storage unit for storing the official public photos, sheet aerial photographs, numerical clinical maps, digital topographic maps, and related data; An input / output unit including an input device, a display device, and an output device; An image compression unit for compressing an image when storing the true public photograph and the sheet aerial photograph in the storage unit, and restoring a compressed image when the normal public photograph and the sheet aerial photograph are read and displayed on a screen of the display device; ; A search engine providing a search function through a screen of the display device; Executes and controls the search engine, retrieves the still picture of a specific leaf from the storage unit according to a search condition input through the input device, and works with the image compression unit to retrieve the found still ball from the storage unit A search control module for reading a picture and displaying the picture on a screen of the display device; An editing engine called by the search control module to provide an editing and reading function through a screen of the display device; And an editing control module that executes and controls the editing engine and provides a clinical reading function through the retrieved true public photograph and a forest editing function of the numerical clinical picture.

In such a system, the retrieval control module may display the numerical clinical picture superimposed from the storage unit on the displayed still picture. The search function provided by the search engine may include leaflet name search, leaflet number search, administrative region name search, and region selection search. The clinical reading function provided by the editing control module may include stereoscopic vision using the sheet aerial photograph. It may include a reading, and the forest land editing function provided by the edit control module may include clinical boundary editing, clinical boundary editing, clinical combination, clinical division.

On the other hand, according to the present invention, a method for reading a forest image and producing a digital clinical map includes: searching a forest image of a specific foliage according to an input search condition; Reading and displaying the searched forest image on a screen; Providing a reading environment of the displayed forest image; And producing and editing a numerical clinical picture by reading the forest image.

In addition, the forest image reading and numerical clinical method manufacturing method according to the present invention, the step of receiving a selection of the working environment; Searching for a work map of a forest image if the selected work environment is a new search; Opening a reading environment when the selected work environment is opening an existing job or searching for the work drawing is completed; Performing forest land editing by reading the forest image of the searched work leaves; And constructing a stereoscopic view of the forest image to perform reading.

In addition, the method for reading a forest image and a numerical clinical diagram according to the present invention includes the steps of: receiving input of a search condition; Retrieving the true public photograph of a specific leaflet according to the input search condition; Displaying the searched map leaf and the still picture on the screen; Selecting the displayed leaf and the still picture; Opening the selected still picture in a reading environment; Performing a clinical readout of the static photography; And performing the arthroscopic editing through the clinical readout.

In this method, the input search condition may include leaflet name, leaflet number, administrative region name, and region selection. The method of the present invention performs a search environment by performing at least one of an image processing function for adjusting the transparency, brightness, contrast, and histogram of an image, and a screen processing function including image movement / enlargement / reduction, area enlargement, and full screen view. It may further comprise the step of setting. The displaying of the still picture may include displaying a numerical clinical image by superimposing the displayed still picture on the displayed still picture. The method may further comprise performing a screen control function including scale selection, work area enlargement, and full area view. The border editing step may include editing the clinical boundary, editing the clinical boundary, clinical combination, clinical division. The method may further comprise constructing stereopsis and performing clinical readings using sheet aerial photography.

Example

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

In describing the embodiments, descriptions of technical contents that are well known in the art to which the present invention pertains and are not directly related to the present invention are omitted. This is to more clearly communicate without obscure the core of the present invention by omitting unnecessary description.

Forest image reading and numerical clinical production system

First, a schematic configuration of a forest image reading and numerical clinical manufacturing system according to the present invention will be described.

Referring to FIG. 1, a system 100 according to an embodiment of the present invention includes a storage server 10, one or more client terminals 20, and a network 30. The storage server 10 stores forest aerial photographs, numerical clinical diagrams, and the like, and stores related data. The client terminal 20 searches for forest aerial photographs stored in the storage server 10, displays them on a screen, and provides a function of creating or editing a numerical clinical diagram. The network 30 connects the storage server 10 and the client terminal 20, and various commercially available wired and wireless communication networks can be used.

The system 100 illustrated in FIG. 1 may have a configuration in which a plurality of client terminals 20 are connected to the storage server 10 through a network 30, and thus are suitable for an environment in which several users work at the same time. However, the system 100 of the present invention is not necessarily limited to the above example, and may be implemented in one computer system without distinguishing between a server and a client.

Next, the system 100 of the present invention will be described by dividing it into functional blocks.

2, a system 100 according to an embodiment of the present invention includes a storage unit 110, an input / output unit 120, an image compression unit 130, a search unit 140, and an editing unit 150. . When the system 100 follows the configuration of FIG. 1 described above, the storage unit 110 and the image compression unit 130 are connected to the storage server, and the input / output unit 120, the search unit 140, and the editing unit 150 are connected to each other. Each may be implemented in a client terminal.

The storage unit 110 stores the forest aerial photographs and related data used for the numerical clinical diagram and the production or editing thereof. For example, the static aerial photograph DB 111, the sheet aerial photograph DB 112, and the numerical clinical diagram DB 113 are stored. ), A digital topographic map DB 114 and a data DB 115. The normal public photograph DB 111 and the sheet aerial photograph DB 112 store the normal public photograph, the sheet aerial photograph, and metadata thereof. The numerical clinical diagram DB 113 stores the existing numerical clinical diagram and the newly created or edited numerical clinical diagram. The digital topographic map DB 114 stores a digital topographic map, such as a digital elevation model (DEM). The data DB 115 stores various related data necessary for reading forest images and producing numerical clinical diagrams. Examples of such data will be described later.

Single aerial photographs refer to the original aerial photographs taken, printed, and scanned, and still photographs refer to aerial photographs that have been ortho-rectified and assigned to the aerial photographs. The present invention may use satellite images or other digital images as forest images instead of such aerial photographs.

The input / output unit 120 includes a conventional input device, a display device, and an output device. The input device, for example, a keyboard and a mouse, detects a user's manipulation and generates an input signal accordingly. In particular, it is possible to use TopoMouse ™, which consists of 16 buttons and wheels, as an input device. Topo mouse can assign functions to each button and adjust the altitude value of stereoscopic vision using the wheel, thus providing a convenient reading environment for the user. The display device is a CRT monitor or LCD monitor and visually expresses a forest image and a numerical clinical image on the screen. In particular, the monitor Zscreen can be used as a display device, which is mounted on the front of the monitor to enable viewing of stereoscopic images. The output device is a printer, a plotter, or the like, which prints a numerical clinical picture on paper or film.

The image compressor 130 compresses an image when storing an aerial photo in the storage 110 and restores a compressed image when the aerial photo stored in the storage 110 is read and displayed on the screen of the display device. Has The image compression unit 130 may use a technique well known in the computer graphics field as MIP mapping.

The search unit 140 includes a search engine 142 and a search control module 144. The search engine 142 is executed under the control of the search control module 144 and provides various search functions to the user through the screen of the display device. The search engine 142 searches for forest aerial photographs from the storage 110 according to a search condition input by the user. For example, it is possible to search by leaf name, leaf number, administrative region name, area selection, user, and metadata search of forest aerial photographs.

The search control module 144 is a functional block that executes the search engine 142 and controls overall operations thereof. Specifically, the search control module 144 displays various search conditions as in the above example in the search window, sets a search environment according to the search conditions, and processes a query according to the search conditions. In addition, the search control module 144 displays the search results in the search result window and informs of the currently selected leaf. In addition, based on the point clicked with the mouse, the corresponding leaf or pub is found, the metadata of the selected leaf or pub is found, and the result is displayed in the meta search window.

The search control module 144 reads forest aerial photographs from the storage 110 in conjunction with the image compression unit 130, and reads the numerical clinical map and the digital topographic map from the storage 110. In addition, the search control module 144 processes various events according to a mouse operation and performs various image processing and screen processing functions. For example, a mouse event means a mouse button click, a mouse movement, and the like, and an image processing function is a function of adjusting transparency, brightness, contrast, histogram, etc. of an image. Screen processing functions include video movement / enlargement / reduction, area enlargement, and full screen view. On the other hand, the search control module 144 calls the editing engine 152, and performs a function of opening the user-selected map leaf to the editing engine 152.

The editing unit 150 includes an editing engine 152 and an editing control module 154. The editing engine 152 is executed under the control of the editing control module 154 according to the contents searched by the search engine 142, and provides the editing and reading function to the user through the screen of the display device.

The edit control module 154 is a functional block that executes the edit engine 152 and controls overall operations thereof. Specifically, the edit control module 154 receives the information such as the user ID, the forest aerial photograph path, the numerical clinical diagram name from the search unit 140, and displays the forest aerial photograph and the numerical clinical diagram through the editing engine 152. do. When displaying the numerical clinical degree, symbolizing and labeling are set, and the editing engine 152 executes and terminates, and processes such as creation and initialization are performed.

In addition, the edit control module 154 has functions such as screen control, forest land editing, clinical reading, and the like. For example, screen control functions include scale selection, work area enlargement, full area view, output preview, etc., and forest land editing functions include clinical boundary editing, clinical boundary editing, clinical combination, clinical division, editing completion, error detection, etc. Clinical reading functions are stereoscopic linkage, scale synchronization, and the like. In addition, the edit control module 154 has additional functions such as searching for new leaves, leaving a note, exporting a shape file, and terminating the current leaf job.

The forest image reading and numerical clinical manufacturing system according to the embodiment of the present invention has been described above. Hereinafter, a method of reading a forest image and a numerical clinical diagram of the present invention will be described. From the following description, the configuration and operation of the above-described system will also be more apparent.

Forest image reading and numerical clinical drawing

First, with reference to Figure 3 will be described the operation of the forest image reading and numerical clinical diagram production method, and then the processing procedure will be described with reference to FIG. The former is described from the user's point of view for better understanding, and the latter is described from the system's point of view.

Referring to FIG. 3, first, a user logs in by inputting an ID and a password (S1). Then, a work environment selection window appears on the display device screen, and the user selects a desired work from the work environment selection window (S2). There are two types of jobs: new search (S2a) and open existing job (S2b). The former is to search for and work on new maps, and the latter is to resume work on existing maps.

When the new search S2a is selected, the above-described search engine is executed through the display device screen. 5A is an example of a screen of a search engine. As shown in FIG. 5A, a screen of a search engine includes a main screen, a toolbar, and a search window. The main screen shows forest foliage and taverns. The toolbar is a menu for screen manipulation, and the search box is for inputting search conditions and displaying results. The leaf boundary is displayed differently according to the reading condition for each user, and the tavern is displayed only when enlarged over a certain area for the user's visual convenience.

The search conditions of the search box provide five search methods: leaf name, leaf number, administrative name, area selection, and worker. The user selects one of these, selects a subcategory, a subcategory, and a subcategory, and then presses a search button to search for a work map (S3). When the leaf names and leaf numbers according to the search results are listed in the search box, the user selects one of them again. This process is illustrated in Figure 5b. As shown in FIG. 5B, the main screen moves to and displays the selected foliage, and displays the foliage border in red. In this case, the user may select one or more files of a desired official photograph, sheet aerial photograph, clinical map, digital map, or DEM from a selection window at the bottom of the search box. In addition, metadata of forest aerial photographs may be searched by double-clicking a specific leaf or pub on the main screen.

After the search is over, when the user clicks the Send Maple button on the toolbar or selects Open existing job (S2b) in the previous step, the above-described editing engine is executed through the display screen, and the reading environment is opened (S4). 5C is an example of a screen of an editing engine. The reading environment opens to the full viewing environment when opened with a new search (S2a), and opens with the scale and data of the final working environment state when opened with the Open existing job (S2b). The user can select the scale or input directly according to the purpose and select the work area enlargement window to enlarge the area to be read than the default scale. Also, the user may select the entire area view to check which part the area currently being edited corresponds to.

After reading the forest aerial photograph, the user performs forest land editing to correct the division of forest land and land (S5). There are various editing conditions for the editing of forest land, and the representative ones are clinical boundary editing, clinical boundary editing, clinical combination, and clinical division. Editing the clinical boundary is the task of modifying the boundary of the clinic shared by two or more clinicians. Editing the clinical boundary is the task of creating a new clinical trial within the clinic. Clinical combination is the task of combining two or more different clinical trials into one clinic with one attribute, and clinical division is the task of dividing one clinic into clinical trials with two or more different attributes.

In more detail, when the clinical boundary edit is selected, the user selects the clinical boundary to be modified, digitizes the new boundary and ends by double-clicking. If you choose to edit the internal clinical boundary, you can digitize within one clinic, exit and select the property window to assign properties to the newly created clinic. If you select clinical combination, select two or more clinicals you want to combine and then select the reference clinical when the merge window opens. If you select a clinical partition, select the clinical you want to split, digitize the partition boundary, and change its properties. On the other hand, a warning message is generated when a clinical trial of 0.5 ms or less is generated by boundary editing or clinical division.

The still picture used in the editing of forest land is not suitable for the effort and the shape of the crown. Therefore, the user constructs a stereoscopic vision using the finished sheet aerial photographs and reads the clinical examination (S6). Specifically, when the user selects the stereoscopic vision interworking function, a stereo window is opened and stereoscopic vision is implemented on the Zscreen to display the boundary of the numerical clinical picture. To synchronize the scale of the stereoscopic view window and the edit window, select the scale synchronization to realize a convenient reading environment, and select the sheet aerial picture in the layer window to display the sheet aerial picture in the edit window. While moving the location of the single aerial photo, select the desired area and double-click to configure the area in stereoscopic vision.

When the user wants to stop the reading operation being performed, the edited contents are saved up to the current state (S7). In the next work, the work can be resumed from the point where the editing is stopped by selecting the above-mentioned existing work open (S2b). In addition, when the user wants to output the created or edited numerical clinical image, the user can check the output format by using the preview function and then output it to the plotter, and export the shape file to distribute the numerical clinical image. . Finally, the operation is finished by clicking the end button (S8).

Next, with reference to FIGS. 4 and 2 will be described a processing procedure of the forest image reading and numerical clinical map production method. When the search engine 142 is executed after user login and job selection, the search control module 144 receives a search condition through the input device of the input / output unit 120 and displays it in the search window through the screen of the display device. S11). Subsequently, the search control module 144 receives an input for image processing and screen processing from the input device and sets a search environment by performing an image processing function and a screen processing function accordingly (S12). Since the search conditions, the image processing function, and the screen processing function have been described above, their explanation is omitted.

When the search execution input is received through the input device, the search control module 144 connects to each DB of the storage unit 110 and processes the query according to the search condition to execute the search (S13). When the search is completed, the search control module 144 displays the search result through the screen of the display device (S14). In other words, the leaflet name and leaflet number according to the search result are displayed in the search result window, and the linkage with the image compression unit 130 brings up the still-life photo from the normal construction photo DB 111 of the storage unit 110 on the main screen. Sprinkles, and retrieves the corresponding file from the numerical clinical map DB 113 or the digital topographic map DB 114 of the storage unit 110 and displays it overlaid on the static photograph.

Subsequently, when a command for selecting a specific leaf is input through the input device (S15), that is, when a specific leaf displayed on the search result window is selected and a leaf send button is input, the search control module 144 calls the editing engine 152. (S16). Then, under the control of the editing control module 154, the editing engine 152 is executed through the display device screen, and the reading environment is opened. That is, the edit control module 154 opens a file such as the selected regular public photograph and the numerical clinical degree and displays it through the editing engine 152 (S17).

Subsequently, the edit control module 154 receives an input for screen control from the input device and performs a screen control function accordingly (S18). In addition, the edit control module 154 receives the input of the forest land editing from the input device and performs the forest land editing function accordingly (S19), and receives the input for the clinical readings and performs the clinical reading function accordingly (S20). ). Screen control is scale selection, work area enlargement, full area view, and forest land editing is clinical boundary editing, clinical boundary editing, clinical combination, clinical division, etc., and clinical reading is stereoscopic interlocking and scale synchronization. Since these are described above, the description is omitted.

Subsequently, when a save command is input from the input device, the edit control module 154 stores the edited content up to the current state in the numerical topology diagram DB 114 of the storage unit 110 (S21). When the numerical clinical output command is input, the output device is controlled to perform an output function (S22).

On the other hand, the attribute data given to each clinical in the clinical clinical value according to the present invention, as shown in Tables 1 to 4 below includes clinical classification, emergency classification, permanent classification, small density classification.

Table 1 shows the clinical classification items.

Lim Sul sign         Forest land        dropsy Pine forest D Pine plantation PD Haesong-rim T Haesong plantation forest PT Pine forest PK Larch forest PL Rigida Pine Forest PR Oak forest Q Oak plantation PQ Popura plantation PPo Chestnut plantation PCa Cedar plantation PCr Cypress plantation PCo Other coniferous forests PC Other deciduous forests PH  clinical Conifer mixed forest C Hardwood mixed forest H Invasive mixed forest M    Independence  Woodland Woodland O Grassland LP Deforestation F Wasteland Destinations E Clearing CL restraint restraint R golf course G  Other (excluding) Rivers, wetlands, water surface W building U plow L

Table 2 shows the categories of emergency categories.

Category Content sign size 0 Small tree One Chongqing Tree 2 Large tree 3

Table 3 shows the salary classification items.

Category Content sign 1 class I 2 classes II 3 classes III 4 classes IV 5 classes V 6 classes VI 7 classes VII 8 classes VIII 9th grade IX 10 classes X

Table 4 shows the items of small density.

Category Content sign small ' medium '' wheat '' '

On the other hand, the data related to the forest image reading and the numerical clinical image production of the present invention has a table structure and a field structure as illustrated in Tables 5 to 12 below.

Table 5 shows the structure of the routing table.

Table name Table id Field name Field ID Route setting DATA_PATH Data type DATA_TYPE Data path DATA_DRIVE

Table 6 shows the structure of the foliage master table.

Table name Table id Field name Field ID       Foliage Master       MAP_TABLE Leaf number MAP_NUM Leaf name MAP_NAME Ortho Image File Path ORTHO_IMAGE_PATH Ortho Image File Name ORTHO_IMAGE Block File Path BLOCK_PATH Block file name AERIAL_BLOCK Clinical GDB File Path IMSANG_GDB_PATH Clinical GDB File Name IMSANG_GDB Clinical Name IMSANG_FC DEM file path DEM_PATH DEM file name DEM Clinical File Path DIGI_MAP_PATH Clinical map file name DIGI_MAP

Table 7 shows the structure of the static photography table.

Table name Table id Field name Field ID            Public information            AIRPICTURE Photo Number A_SEQN 25K leaf number A_25K_NUM 25K leaf number NJ A_25K_NUM_NJ 25K leaf name A_25K_NAME 50K leaf number A_50K_NUM 50K leaf number NJ A_50K_NUM_NJ 50K leaf name A_50K_NAME Administrative photography A_HANGJUNG_NAME Orthodox Photography Language A_LANG Orthodox Language Code A_LANG_COD Orthodox Photography A_BUS_NAME Affairs Photo Office A_ORG Affairs Photo Office A_ORG_COD Orthophoto Role Code A_ROLE_CODE Date of photo inspection A_DATE Orthophoto Metadata Standard Name A_STD_NAME Orthophoto Metadata Standard Version A_STD_VER Hierarchy Level Code A_LEVEL_CODE Hierarchy Level Name A_LEVEL_NAME Orthographic Photography A_PROJ OrthophotoGeodeticDatum A_DATUM Orthophoto Standard Ellipsoid A_ELLIP Orthodox photo A_ORIGIN Ortho-photo scale factor A_SCALE Oral PhotographyFalseEasting A_FALSE_EAS Photo of FalseNorthing A_FALSE_NOR Orthophoto coordinate unit A_COORD_UNIT Types of Ortho Photos A_PIC_TYPE Orthodox photo data type A_TYPE Year of Orthodox Photography A_MAKE_YEAR Orthodox year A_FILM_YEAR Orthodox Photography A_ROW_NO Orthophoto A_COL_NO Ortho Photography X Grid Interval A_X_RES Orthographic Photography Y Grid Interval A_Y_RES The upper left corner of X A_LT_X Top of Photo Orthodontic Y A_LT_Y Photography A_RES Photo of Affinity A_AFFINITY Ortho-Photo Accuracy A_RRECI DEM for Ortho Photography A_USE-DEM Ortho Photos Distribution Format A_FORMAT Ortho picture transfer option A_OPTION Photo files A_FILE_NAME Ordinary Photo File Size A_FILE_SIZE Orthophoto File Size Unit A_FILE_SIZE_UNIT Orthodox Photography A_MAKE_DATE Orthodox photo file format A_FILE_FORMAT Reference Photo for Ortho Photography A_REFFILE_TIT

       Public information        AIRPICTURE Reference Date for Ortho Photography A_REF_DATE Reference Date Type Code A_REF_DATE_CODE Orthopedic summary A_DESC Orthodox Photographing Organization / Department A_BAL_ORG Orthodox Photographing Organization A_BAL_ORG_TEL Orthodox photo A_BAL_ORG_ADDR Orthodox photographing agency post code A_BAL_ORD_ADDR_CODE Orthodox Photography A_COM Orthodox Photo Distribution Agency / Department Name A_PUB_ORG Orthodox Photo Distribution Agency A_PUB_ORG_TEL Orthodox photo distribution agency address A_PUB_ORG_ADDR Ortho-photo Distribution Agency Post code A_PUB_ORG_ADDR_COD Orthophoto Spatial Expression Type Code A_REP_CODE Orthophoto Scale A_PIC_SCALE Resource Photo Code A_RES_LANG Ortho Photos Topic List Code A_SUB_CODE Orthodox Photograph A_WEST_LONG Orthodox photo east boundary A_EAST_LONG Orthodox Photo A_NORTH_LAT Orthodox Photo A_SOUTH_LAT Map Classification Type Code A_MAP_CODE Orthodox Photo Area A_AREA_EXT Ortho Photo Buffer Range A_BUF_EXT

Table 8 shows the structure of the sheet aerial photography table.

Table name Table id Field name Field ID         Aerial photography         SHEETPICTURE Single photo number S_SEQN Single photo business S_BUS_NAME Single photograph raw material responsible institution S_DATE_ORG Single Photo Distribution Agency / Department Name S_ORG Single Photo Transfer URL S_URL Single Photo Works S_COM Single photo production date S_CREA Single Photo Date S_SIGN Single photo year S_MAKE_YEAR Single Photo Scale S_PIC_SCALE Single Photo Administrative Area S_EXC_AREA Single photo image information S_INFO Single Photo Data Type S_TYPE Single Photo Original Format S_SOUR Single Photo Summary S_DESC Single photo 25K S_25K_NUM Single Photo Shooting Plan S_SCHE Single photo year S_SCHE_YEAR Single photo wall S_SCHE_MONTH Single photo S_SCHE_DAY Single photo time S_SCHE_HOUR Single shot time S_SCHE_MIN Single Photo Shooting District S_SCHE_JIGU Single Photo Shooting Course S_SCHE_COUR Single photo original number S_PIC_NO Single Photo Shooting Position X S_POS_X Single Photo Shooting Position Y S_POS_Y Single Photo Shooting Altitude Z S_ATTI_Z Photo Shooting Incline S_KAPPA Single Photo Shooting Incline S_PHI Single Photo Shoot Incline Omega S_OMEGA Single photo scan resolution S_SCAN_RES Single Photo Resolution S_GROU_RES Single photo storage path S_SAVE_PATH Single photo file name S_FILE_NAME Single photo file size S_FILE_SIZE Single photo file size unit S_FILE_SIZE_UNIT Single photo index 1 S_PIC_MARK1 Sheet Photo Indicator 2 S_PIC_MARK2 Sheet Photo Indicator 3 S_PIC_MARK3 Single photo index 4 S_PIC_MARK4 Single Photo Scratch S_SCRATCH Single Photo Moire S_MOARE Single Photo Noise S_NOISE Sheet Photo Film State Others S_ETC Sheet Photo Film Information S_FILM_INFO Single Photo Mount Accuracy S_MT_PRECIS Single photo center S_CT_PRECIS Single photo farmland accuracy S_AG_PRECIS

  Aerial photography   SHEETPICTURE Single photo cloud area S_HI_AREA Single photo security zone S_SE_AREA Single photo security rating S_SE_GRAD Single Photo Camera Type S_CAM_TYPE Single Photo Lens Type S_LENS_TYPE Single Photo Lens Number S_LENS_NO Single Photo Compressed File Format S_COMP_FORMAT Single Photo Compression File Name S_COMP_NAME Single Photo Compression Method S_COMP_TYPE Single Photo Compression Quality S_COMP_QL

Table 9 shows the structure of the administrative area search table.

Table name Table id Field name Field ID      Administrative Area Search      TBL_REGION Administrative Area RECNO Administrative area SIDO Administrative region SIGUNGU Administrative division UPMYONDONG Administrative area RI Upper left of Administrative division X MIN_X Administrative division top left Y MIN_Y Administrative division bottom rightX MAX_X Administrative division bottom right Y MAX_Y Administrative DistrictX CENTER_X Administrative District Y CENTER_Y

Table 10 shows the structure of the leaf search table.

Table name Table id Field name Field ID Maple Leaf Search TBL_DOYEOP Leaf number DOYEOP_NUMBER Maple Leaf Type DOYEOP_GUBUN Leaf name DOYEOP_NAME Maple leaf top X MIN_X Maple leaf top Y MIN_Y Lower right leaf X MAX_X Maple leaf right bottom Y MAX_Y

Table 11 shows the structure of the user information table.

Table name Table id Field name Field ID User Information LOG_INFO account ID password PW Username NAME Recent job file name RECENTWORKFILE Whether work MANAGER

Table 12 shows the structure of the work history table.

Table name Table id Field name Field ID Work history WORK account ID Year WORK_YEAR Leaf number MAP_NUM condition STATUS Progress PROCESS_RATE Leaf name MAP_NAME Job End Date WORKFINISHDATE

So far, the forest image reading and numerical clinical manufacturing system and method thereof according to the present invention have been described. In the present specification and drawings, preferred embodiments of the present invention have been disclosed, and although specific terms have been used, these are merely used in a general sense to easily explain the technical contents of the present invention and to help the understanding of the present invention. It is not intended to limit the scope. It will be apparent to those skilled in the art that other modifications based on the technical idea of the present invention can be carried out in addition to the embodiments disclosed herein.

As described above, the forest image reading and numerical clinical map production system and method thereof according to the present invention can easily read forest images such as forest aerial photographs, satellite images, digital images, and the like based on the reading results. Easily create and edit numerical clinical maps. In addition, the system and method of the present invention can systematically classify, store, and manage forest images, numerical clinical diagrams, and their data, and easily and conveniently search vast amounts of data by various methods such as users and work maps. can do. In addition, the system and method of the present invention can be clinical reading in three-dimensional stereoscopic vision as well as two-dimensional clinical reading, it is easy to read the clinical, and also easy to edit the forest land. In addition, the system and method of the present invention can improve the accuracy and efficiency of numerical clinical drawing and area calculation, and can be widely used in the creation and editing of various subject maps.

Claims (20)

delete A storage unit for storing forest images and numerical clinical diagrams and related data; An image compression unit compressing or restoring the forest image; A retrieval unit for retrieving the forest image of a particular leaf from the storage unit according to a retrieval condition, and reading the retrieved forest image from the storage unit on the screen in association with the image compression unit; And An editing unit providing a read function of the retrieved forest image, and providing a function of producing and editing the numerical clinical image through reading the forest image; Includes, wherein the production and editing function of the numerical clinical diagram provided by the editing unit is a forest image reading and numerical clinical production system, characterized in that it includes clinical boundary editing, clinical boundary editing, clinical combination, clinical segmentation. The method of claim 2, The forest image is a forest image reading and digital clinical map production system comprising a forest aerial photograph, satellite image, digital image. The method of claim 2, The search condition is a leaf image, leaf number, administrative area name, forest image reading and numerical clinical map production system, characterized in that the selection. The method of claim 2, The forest image reading function is a forest image reading and numerical clinical picture production system comprising a stereoscopic reading. delete A storage unit for storing the official photographs, single aerial photographs, numerical clinical maps, numerical topographic maps, and related data; An input / output unit including an input device, a display device, and an output device; An image compression unit for compressing an image when storing the true public photograph and the sheet aerial photograph in the storage unit, and restoring a compressed image when the normal public photograph and the sheet aerial photograph are read and displayed on a screen of the display device; A search engine providing a search function through a screen of the display device; Executes and controls the search engine, retrieves the still picture of a specific leaf from the storage unit according to a search condition input through the input device, and works with the image compression unit to retrieve the found still ball from the storage unit A search control module for reading a picture and displaying the picture on a screen of the display device; An editing engine called by the search control module to provide an editing and reading function through a screen of the display device; And An editing control module that executes and controls the editing engine, and provides a clinical reading function through the retrieved true public photograph and a forest land editing function of the numerical clinical picture; And the forest land editing function provided by the editing control module is a clinical image editing, clinical boundary editing, clinical combination, clinical division, forest image reading and numerical clinical map production system comprising a. The method of claim 7, wherein The search control module is a forest image reading and numerical clinical picture production system, characterized in that for displaying the numerical clinical picture superimposed on the displayed static picture from the storage unit. The method of claim 7, wherein The search function provided by the search engine is a leaf image search, leaf number search, administrative area name search, forest image reading and numerical clinical map production system, characterized in that it comprises a region selection search. The method of claim 7, wherein The clinical reading function provided by the editing control module is a forest image reading and digital clinical production system, characterized in that it comprises a stereoscopic reading using the sheet aerial photograph. delete Searching for a forest image of a specific leaf according to the input search condition; Reading and displaying the searched forest image on a screen; Providing a reading environment of the displayed forest image; And Producing and editing a numerical clinical picture by reading the forest image; Forest image reading and numerical clinical manufacturing method comprising a. Receiving a selection of a working environment; Searching for a work map of a forest image if the selected work environment is a new search; Opening a reading environment when the selected work environment is opening an existing job or searching for the work mapping is completed; Reading forest images of the searched work leaves to perform forest land editing; And Constructing a stereoscopic view of the forest image to perform reading; Forest image reading and numerical clinical manufacturing method comprising a. Receiving input of a search condition; Retrieving the true public photograph of a specific leaf according to the input search condition; Displaying the searched leaf and the still picture on the screen; Selecting the displayed leaf and the normal photograph; Opening the selected stationary photograph in a reading environment; Performing a clinical readout of the static photography; And Performing arthropod editing through the clinical readout; Forest image reading and numerical clinical manufacturing method comprising a. The method of claim 14, The input search condition is a leaf image, leaf number, administrative area name, region selection method for reading a forest image, characterized in that it comprises a region selection. The method of claim 14, Setting a search environment by performing at least one of an image processing function for adjusting transparency, brightness, contrast, and histogram of an image, and a screen processing function including image movement / enlargement / reduction, area enlargement, and full screen view; Forest image reading and numerical clinical manufacturing method characterized in that it further comprises. The method of claim 14, The screen display step of the normal public picture is a forest image reading and numerical clinical map production method comprising the step of displaying the numerical clinical picture superimposed on the displayed normal picture. The method of claim 14, Performing a screen control function including scale selection, work area enlargement, and full area view; Forest image reading and numerical clinical manufacturing method characterized in that it further comprises. The method of claim 14, The forest land editing step is clinical forest editing, clinical boundary editing, clinical combination, clinical segmentation method characterized in that it comprises a clinical segmentation. The method of claim 14, Constructing stereoscopic vision and performing clinical readings using sheet aerial photography; Forest image reading and numerical clinical manufacturing method characterized in that it further comprises.

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