WO2001026059A1 - Production of an animated digital elevation model - Google Patents

Production of an animated digital elevation model Download PDF

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Publication number
WO2001026059A1
WO2001026059A1 PCT/IE2000/000118 IE0000118W WO0126059A1 WO 2001026059 A1 WO2001026059 A1 WO 2001026059A1 IE 0000118 W IE0000118 W IE 0000118W WO 0126059 A1 WO0126059 A1 WO 0126059A1
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WIPO (PCT)
Prior art keywords
model
generating
data
digital
map
Prior art date
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PCT/IE2000/000118
Other languages
French (fr)
Inventor
Sean Roche
Kenneth O'neill
Christopher Shackleton
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Digitech Research
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Digitech Research filed Critical Digitech Research
Priority to AU75504/00A priority Critical patent/AU7550400A/en
Publication of WO2001026059A1 publication Critical patent/WO2001026059A1/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20Image signal generators
    • H04N13/204Image signal generators using stereoscopic image cameras
    • H04N13/207Image signal generators using stereoscopic image cameras using a single 2D image sensor
    • H04N13/221Image signal generators using stereoscopic image cameras using a single 2D image sensor using the relative movement between cameras and objects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C11/00Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/597Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding specially adapted for multi-view video sequence encoding
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/30Image reproducers
    • H04N13/332Displays for viewing with the aid of special glasses or head-mounted displays [HMD]
    • H04N13/337Displays for viewing with the aid of special glasses or head-mounted displays [HMD] using polarisation multiplexing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N2013/0074Stereoscopic image analysis
    • H04N2013/0081Depth or disparity estimation from stereoscopic image signals

Definitions

  • the invention relates to production of a survey animated digital model.
  • generating a digital terrain model by assigning levels to ground points and generating a mesh of triangles mterconnectmg the ground level points, generating an orthophoto by performing planometric rectification to eliminate radial bias distortion and perspective error;
  • the step of generating the enhanced 3D map comprises the sub- steps of assigning growth patterns to vegetation.
  • the step of generating the digital terrain model comprises the sub-st ⁇ p of generating breakline information assigned to linear ground features such as road edges.
  • the orthophoto is projected into a Cartesian form.
  • the micro relief enhancement step comprises the sub-step of extracting mapping routines of the enhanced 3D map into a fixed format and generating a unique key code and a descriptor comprising parameter values and coordinates associated with each feature.
  • the descriptor comprises height data extracted from the digital terram model.
  • vegetation growth projection data comprises vertical and linear growth data.
  • the digital terrain model translation step comprises the sub-step of applying height level smoothing to the model to ensure a smooth macro relief ground profile.
  • the invention provides a survey animated digital model whenever produced by a process as described above.
  • FIGs. 1(a) and 1(b) are together a flow diagram illustrating a process cf the invention for generating a survey animated digital model
  • Fig. 2 is a sample photograph
  • Fig. 3 is a map for the corresponding area to illustrate linear features
  • Fig. 4 is a representation of an enhanced 3D map
  • Fig. 5 is a scene from a digital model corresponding to the map segment of Fig. 4;
  • Fig. 6 is a representation of a digital terrain map mesh with linear brealdines at ground level;
  • Fig. 7(a) shows a mapping symbol for a tree and Figs. 7(b) and 7(c) show digital model scenes for year 0 and year 10 respectively;
  • Fig. 8 shows mapping lines for linear hedges and Fig. 9 shows a corresponding scene of the digital model
  • Fig 10 shows building outline features and Fig. 11 shows a corresponding scene from the digital model
  • Fig. 12 is a sample digital model scene incorporating poles and Fig 13 snows a symbol for a pole.
  • a process 1 for producing a survey animated digital model comprises steps 10 to 21 inclusive and these steps are illustrated in Figs. 2 to 13.
  • step 10 there is vertical stereoscopic photography in which aerial photogi aphs with an overlap of typically 60% are taken with an aircraft flying in a series of overlapping strips.
  • the photo images are scanned to digital format and are processed in a photogrammetric workstation in step 11.
  • the images are merged in step 12.
  • Polarised glasses enable a user to view two images as a single stereo model. These images are un-scaled and easily identifiable points are co-ordinated on them.
  • the skilled operator then visually extracts vector data in step 13.
  • An example of a stereo model is shown in Fig. 2 and Fig. 3 shows traditional vector mapping.
  • an enhanced 3D survey map is generated by assigning additional data to items such as trees, hedges, buildings, poles, and artificial boundaries.
  • a tree is regarded as a discrete vegetation feature and a tree type is selected from a menu and spread and height data are assigned to it.
  • Spread is computed by digitising a number of points around the tree canopy to enclose it.
  • a general style and format is selected from a menu and this selection includes data regarding the style and general permeability of the hedge.
  • the centre line and spread characteristics are digitised.
  • For buildings, a structural form is selected such as flat, apex, or hip style roof and these forms are used to produce complex structures.
  • a type is selected from a menu such as "telegraph”, "power”, or "pylon”.
  • the orientation is then set.
  • a type such as wall or fence is selected and a sub- type is then selected such as brick, concrete, or barbed wire.
  • the upper levels of the features are digitised as a 3D polyline entity.
  • the final map is a 3D enhanced survey containing attribute data for extracting 3D model entities into a realistic and co-ordinated model space. This data is very important in later stages of the process for generating the digital model and a scene of a model is shown in Fig. 5. This scene is representative of the map segment shown in Fig. 4.
  • step 15 a set of points is defined and an operator assigns a level to each of these points. These are representative of the ground level.
  • step 16 linear features on the ground, such as road edges, are used to generate breaklme information. This produces an excellent mathematical representation of the ground surface.
  • step 17 when all of the points have been captured, the workstation automatically creates multiple triangles which lie between all of the captured points. The triangles do not cross the breaklines, thus better describing linear ground features. This produces a 3D mesh of triangles, as shown in Fig. 6.
  • step 18 ortho-rectification takes place in which individual images are correctly located in 3D space. This takes into account the geo-referenced centre of the photographs and the rotation parameters which correspond to the aircraft's exact rotation along all three axes at the moment the image was taken.
  • the referenced image is then projected into a Cartesian form with attention paid to the ground profile, known camera errors, or distortions.
  • the resulting sub-images are true-to- scale photomaps, and using a complex set of image-matching and biassing tools the sub-images are blended to form a single project- wide orthorectified photomap.
  • step 19 there is micro relief enhancement feature extraction using the enhanced 3D map generated in step 14.
  • Data from this map is extracted into a fixed format ASCII CARD file format.
  • This file format is based on a unique key code to describe the feature type followed by a number of parameters and co-ordinates to act as descriptors.
  • the entire mapping file is read and, dependant on the feature codes and associated attributes different sub-routines are executed. This is carried out as follows.
  • Fig. 7(b) shows an image 42 for year 0 and Fig. 7(c) an image 43 for year 1 .
  • Fig. 7(b) shows an image 42 for year 0 and Fig. 7(c) an image 43 for year 1 .
  • For deciduous tree types enable seasonal changes in the defined imagery and opaque maps, to allow for changes on foliage colours and for loss of foliage in winter.
  • Pylons are created by a specific technique, and are grown fractally based on their height and spread. This fractal growth enables structures to maintain a consistent form, which does not lose realism as it increases in height and size.
  • Lighting entities will have built-in lighting routines based on the light type/sources selected at mapping time all lighting controls will be associated to enable global changes to be effected with ease. This will allow lighting layouts and designs to be evaluated.
  • FIG. 12 An image 70 with poles is shown in Fig. 12, and a pole symbol 71 is shown in Fig. 13.
  • mapping materials to the now 3D surface based on its length and feature type /sub-type.
  • Opacity mapping also to be applied to fencing (post and rail, barb wire, wooden cross) dependant on the type assigned at the map data collection stage.
  • step 20 DTM data is translated into individual triangular faces consistent with the terrain surface and a high-level smoothing is applied to ensure a clean and smooth macro relief ground profile.
  • the ortho imagery is applied in its correct geo- spatial location and placed as a vertical and planar image map over the new surface. This creates an effective background basis for an animated model.
  • micro relief generated in step 19 is then integrated into the completed model to provide a single realistic visualisation of the environment.
  • This visualisation is essentially 4-dimensional as changes in time and season are included.
  • the data is exported in step 21 to a rendering application for processing into ray traced single or multiple (animated) images.
  • This provides a survey animated digital model which may be used for visualisation of a landscape as a graphical and interactive aid for such things as concept and project development.

Abstract

A process for producing a survey animated digital model for visualisation of such things as planning developments. Vector data is extracted from merged digital images (13). Attribute data is assigned to items such as trees or hedges. Ground level data attributes are made and a digital terrain model is developed (17) using point and breakline data. The model is completed by micro relief enhancement (19) and integration of digital terrain model data, orthophoto data, and the micro relief enhancement feature data.

Description

PRODUCTION OF AN ANIMATED DIGITAL ELEVATION MODEL
The invention relates to production of a survey animated digital model.
Heretofore, the traditional approach for providing information about proposed developments such as those m plannmg applications has been to provide detailed drawings with "artist impressions" provided to help illustrate the proposal and Dπng it life Such information is generally useful for professionals in the surveying and architectural fields. However, where a proposal needs to be brought to a wider audience such as m a consultation process for plannmg, the traditional approaches are very limiting. This is particularly the case where the proposal is quite substantial, such as a new road or golf course development. It is also the case that sketches and drawmgs are insufficient for providmg information about developments to an audience such as potential members of a golf club or potential holiday-makers to a particular area.
It is therefore an object of the invention to provide a process for producing a survey animated model which may be used for visualisation of topography.
According to the invention, there is provided a process for producing a survey animated digital model comprising the steps of-
generatmg a stereo model of a survey area;
generating an enhanced 3D map by assigning attributes to features;
generating a digital terrain model by assigning levels to ground points and generating a mesh of triangles mterconnectmg the ground level points, generating an orthophoto by performing planometric rectification to eliminate radial bias distortion and perspective error;
performing micro relief enhancement of the enhanced 3D map by assigning library symbols and growth profiles to items of vegetation and forming multiple structural blocks for buildings;
translating the digital terrain model data into individual triangular faces consistent with the terrain surface, applying the orthophoto data in its correct geo-spatial location as a vertical and plannar image map over the terrain surface, and integrating the enhanced micro relief to provide a digital model; and
exporting the digital model to a rendering application to provide a survey animated digital model.
In one embodiment, the step of generating the enhanced 3D map comprises the sub- steps of assigning growth patterns to vegetation.
Preferably, the step of generating the digital terrain model comprises the sub-stεp of generating breakline information assigned to linear ground features such as road edges.
Preferably, the orthophoto is projected into a Cartesian form.
In another embodiment, the micro relief enhancement step comprises the sub-step of extracting mapping routines of the enhanced 3D map into a fixed format and generating a unique key code and a descriptor comprising parameter values and coordinates associated with each feature. Preferably, the descriptor comprises height data extracted from the digital terram model.
In another embodiment, vegetation growth projection data comprises vertical and linear growth data.
Preferably, the digital terrain model translation step comprises the sub-step of applying height level smoothing to the model to ensure a smooth macro relief ground profile.
According to another aspect, the invention provides a survey animated digital model whenever produced by a process as described above.
The invention will be more clearly understood from the following description of some embodiments thereof, given by way of example only with reference to the accompanying drawings in which :-
Figs. 1(a) and 1(b) are together a flow diagram illustrating a process cf the invention for generating a survey animated digital model;
Fig. 2 is a sample photograph;
Fig. 3 is a map for the corresponding area to illustrate linear features;
Fig. 4 is a representation of an enhanced 3D map;
Fig. 5 is a scene from a digital model corresponding to the map segment of Fig. 4; Fig. 6 is a representation of a digital terrain map mesh with linear brealdines at ground level;
Fig. 7(a) shows a mapping symbol for a tree and Figs. 7(b) and 7(c) show digital model scenes for year 0 and year 10 respectively;
Fig. 8 shows mapping lines for linear hedges and Fig. 9 shows a corresponding scene of the digital model;
Fig 10 shows building outline features and Fig. 11 shows a corresponding scene from the digital model; and
Fig. 12 is a sample digital model scene incorporating poles and Fig 13 snows a symbol for a pole.
Referring to the drawings, there is shown a process 1 for producing a survey animated digital model. The process 1 comprises steps 10 to 21 inclusive and these steps are illustrated in Figs. 2 to 13.
In step 10, there is vertical stereoscopic photography in which aerial photogi aphs with an overlap of typically 60% are taken with an aircraft flying in a series of overlapping strips. The photo images are scanned to digital format and are processed in a photogrammetric workstation in step 11. The images are merged in step 12. Polarised glasses enable a user to view two images as a single stereo model. These images are un-scaled and easily identifiable points are co-ordinated on them. The skilled operator then visually extracts vector data in step 13. An example of a stereo model is shown in Fig. 2 and Fig. 3 shows traditional vector mapping.
In step 14 an enhanced 3D survey map is generated by assigning additional data to items such as trees, hedges, buildings, poles, and artificial boundaries. A tree is regarded as a discrete vegetation feature and a tree type is selected from a menu and spread and height data are assigned to it. Spread is computed by digitising a number of points around the tree canopy to enclose it. For a hedge, a general style and format is selected from a menu and this selection includes data regarding the style and general permeability of the hedge. The centre line and spread characteristics are digitised. For buildings, a structural form is selected such as flat, apex, or hip style roof and these forms are used to produce complex structures. For poles, again a type is selected from a menu such as "telegraph", "power", or "pylon". The orientation is then set. For artificial boundaries, a type such as wall or fence is selected and a sub- type is then selected such as brick, concrete, or barbed wire. The upper levels of the features are digitised as a 3D polyline entity.
The final map, as shown in Fig. 4 is a 3D enhanced survey containing attribute data for extracting 3D model entities into a realistic and co-ordinated model space. This data is very important in later stages of the process for generating the digital model and a scene of a model is shown in Fig. 5. This scene is representative of the map segment shown in Fig. 4.
In step 15 a set of points is defined and an operator assigns a level to each of these points. These are representative of the ground level. In addition, in step 16 linear features on the ground, such as road edges, are used to generate breaklme information. This produces an excellent mathematical representation of the ground surface. In step 17, when all of the points have been captured, the workstation automatically creates multiple triangles which lie between all of the captured points. The triangles do not cross the breaklines, thus better describing linear ground features. This produces a 3D mesh of triangles, as shown in Fig. 6.
In step 18, ortho-rectification takes place in which individual images are correctly located in 3D space. This takes into account the geo-referenced centre of the photographs and the rotation parameters which correspond to the aircraft's exact rotation along all three axes at the moment the image was taken. The referenced image is then projected into a Cartesian form with attention paid to the ground profile, known camera errors, or distortions. The resulting sub-images are true-to- scale photomaps, and using a complex set of image-matching and biassing tools the sub-images are blended to form a single project- wide orthorectified photomap.
In step 19 there is micro relief enhancement feature extraction using the enhanced 3D map generated in step 14. Data from this map is extracted into a fixed format ASCII CARD file format. This file format is based on a unique key code to describe the feature type followed by a number of parameters and co-ordinates to act as descriptors. The entire mapping file is read and, dependant on the feature codes and associated attributes different sub-routines are executed. This is carried out as follows.
Tree-Discrete vegetation feature
• Assign a 3D library symbol 41 to the feature extract from the DTM, as shown in Fig. 7(a)
• Assign spread and height above ground. Heights are extracted from the existing Digital Terrain model. Spread is computed by digitising a number of points around the tree canopy to enclose it.
• Assign age to trees - nominal for existing or actual for new of proposed planting.
• Assign growth formula to trees (a parametric equation) which describes the following characteristics: height, height/ depth ratio, permeability. Fig. 7(b) shows an image 42 for year 0 and Fig. 7(c) an image 43 for year 1 . For deciduous tree types, enable seasonal changes in the defined imagery and opaque maps, to allow for changes on foliage colours and for loss of foliage in winter.
For new tree plantings, allow also for statistical loss and propagation effects.
Hedge Linear vegetation features
• Create vertical projections of the spread canopy down to ground evel. Build sub-TINS of individual hedgegrows. This incorporates the ground projected canopy lines and centre line to create thirty forms o " the hedgegrows which correctly follow the horizontal, vertical, and spread characteristics. Mapping lmes 50 are shown in Fig. 8 and a sample image in Fig. 9.
• Apply image mapping and permeability characteristics to the hedge, dependant on the parameters passed by the photogrammetric operato' and the length of the various features.
• Assign growth formula to hedgegrows, which describes height and permeability.
Building Structure
• Form multiple structural blocks from the basic structural forms. Outlines 60 are shown in Fig. 10 and an extracted model 61 is shown in Fig. 11 • Extract roof colour from the geo-referenced photo images .
Poles
• Generate 3D blocks based on the pole type selected for the feature
• For direction-specific features rotate in accordance with the mapping data
• Pylons are created by a specific technique, and are grown fractally based on their height and spread. This fractal growth enables structures to maintain a consistent form, which does not lose realism as it increases in height and size.
• Lighting entities will have built-in lighting routines based on the light type/sources selected at mapping time all lighting controls will be associated to enable global changes to be effected with ease. This will allow lighting layouts and designs to be evaluated.
• An image 70 with poles is shown in Fig. 12, and a pole symbol 71 is shown in Fig. 13.
Artificial Boundaries
• Convert the feature into a 3D polyline.
• Extrude feature so that it intersects with the digital terrain model.
• Assign mapping materials to the now 3D surface based on its length and feature type /sub-type. Opacity mapping also to be applied to fencing (post and rail, barb wire, wooden cross) dependant on the type assigned at the map data collection stage.
Finally, in step 20 DTM data is translated into individual triangular faces consistent with the terrain surface and a high-level smoothing is applied to ensure a clean and smooth macro relief ground profile. The ortho imagery is applied in its correct geo- spatial location and placed as a vertical and planar image map over the new surface. This creates an effective background basis for an animated model.
The micro relief generated in step 19 is then integrated into the completed model to provide a single realistic visualisation of the environment. This visualisation is essentially 4-dimensional as changes in time and season are included.
The data is exported in step 21 to a rendering application for processing into ray traced single or multiple (animated) images.
This provides a survey animated digital model which may be used for visualisation of a landscape as a graphical and interactive aid for such things as concept and project development.
The invention is not limited to the embodiments described but may be varied in construction and detail within the scope of the claims.

Claims

Claims
1. A process for producing a survey animated digital model comprising the steps of:-
generating (12) a stereo model of a survey area;
generating (14) an enhanced 3D map by assigning attributes to features;
generating (15-17) a digital terrain model by assigning levels to ground points and generating a mesh (40) of triangles interconnecting the ground level points;
generating (18) an orthophoto by performing planometric rectification to eliminate radial bias distortion and perspective error;
performing micro relief enhancement (19) of the enhanced 3D map by assigning library symbols (50,60,71) and growth profiles to items of vegetation and forming multiple structural blocks for buildings;
translating the digital terrain model data into individual triangular faces consistent with the terrain surface, applying the orthophoto data in its correct geo-spatial location as a vertical and planar image map over the terram surface, and integrating (20) the enhanced micro relief to provide a digital model; and
exporting (20) the digital model to a rendering application to provide a survey animated digital model.
2. A process as claimed in claim 1, wherein the step of generating the enhanced 3D map (14) comprises the sub-steps of assigning growth patterns to vegetation.
3. A process as claimed in claims 1 or 2, wherein the step of generating the digital terrain model comprises the sub-step of generating (16) breakline information assigned to linear ground features such as road edges.
4. A process as claimed in any preceding claim, wherein the orthophoto is projected (18) into a Cartesian form.
5. A process as claimed in any preceding claim, wherein the micro relief enhancement step (19) comprises the sub-step of extracting mapping routines of the enhanced 3D map into a fixed format and generating a unique key code and a descriptor comprising parameter values and co-ordinates associated with each feature.
6. A process as claimed in claim 6, wherein the descriptor comprises height data extracted from the digital terrain model.
7. A process as claimed in claims 6 or 7, wherein vegetation growth projection data comprises vertical and linear growth data.
8. A process as claimed in any preceding claim, wherein the digital terrain model translation step comprises the sub-step of applying height level smoothing to the model to ensure a smooth macro relief ground profile.
9. A process substantially as described with reference to the drawings.
10. A survey animated digital model whenever produced by a process as claimed in any preceding claim.
PCT/IE2000/000118 1999-10-04 2000-10-03 Production of an animated digital elevation model WO2001026059A1 (en)

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Cited By (5)

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GB2416884A (en) * 2004-07-28 2006-02-08 Lockheed Corp Material coded imagery for simulated terrain and computer generated forces
WO2007078704A2 (en) * 2005-12-23 2007-07-12 General Electric Company Apparatus and method for locating assets within a rail yard
CN102945331A (en) * 2012-11-26 2013-02-27 中国人民解放军信息工程大学 Method for determining best analysis area of relief amplitude
CN107270870A (en) * 2017-04-27 2017-10-20 航天建筑设计研究院有限公司 A kind of many curvatures turn round the external outline data acquisition method in polymorphic structure building
US11049608B2 (en) 2018-07-03 2021-06-29 H&R Accounts, Inc. 3D augmented reality document interaction

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Publication number Priority date Publication date Assignee Title
US5187754A (en) * 1991-04-30 1993-02-16 General Electric Company Forming, with the aid of an overview image, a composite image from a mosaic of images
US5381338A (en) * 1991-06-21 1995-01-10 Wysocki; David A. Real time three dimensional geo-referenced digital orthophotograph-based positioning, navigation, collision avoidance and decision support system
DE4419359A1 (en) * 1994-06-03 1995-12-07 Wolfram Dipl Ing Kirchner Procedure for the acquisition, evaluation, measurement and storage of geographic information

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2416884A (en) * 2004-07-28 2006-02-08 Lockheed Corp Material coded imagery for simulated terrain and computer generated forces
WO2007078704A2 (en) * 2005-12-23 2007-07-12 General Electric Company Apparatus and method for locating assets within a rail yard
WO2007078704A3 (en) * 2005-12-23 2007-08-23 Gen Electric Apparatus and method for locating assets within a rail yard
US7805227B2 (en) * 2005-12-23 2010-09-28 General Electric Company Apparatus and method for locating assets within a rail yard
RU2473443C2 (en) * 2005-12-23 2013-01-27 Дженерал Электрик Компани Device and method of defining location of resources with railway station limits
CN102945331A (en) * 2012-11-26 2013-02-27 中国人民解放军信息工程大学 Method for determining best analysis area of relief amplitude
CN107270870A (en) * 2017-04-27 2017-10-20 航天建筑设计研究院有限公司 A kind of many curvatures turn round the external outline data acquisition method in polymorphic structure building
US11049608B2 (en) 2018-07-03 2021-06-29 H&R Accounts, Inc. 3D augmented reality document interaction

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