CN117710599A - Method for restoring and modeling hydrologic historical images based on digital twin drainage basin - Google Patents
Method for restoring and modeling hydrologic historical images based on digital twin drainage basin Download PDFInfo
- Publication number
- CN117710599A CN117710599A CN202311858603.0A CN202311858603A CN117710599A CN 117710599 A CN117710599 A CN 117710599A CN 202311858603 A CN202311858603 A CN 202311858603A CN 117710599 A CN117710599 A CN 117710599A
- Authority
- CN
- China
- Prior art keywords
- historical
- hydrologic
- river
- modeling
- restoring
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000005516 engineering process Methods 0.000 claims abstract description 31
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 13
- 238000011835 investigation Methods 0.000 claims abstract description 6
- 230000009467 reduction Effects 0.000 claims abstract description 6
- 230000000694 effects Effects 0.000 claims description 12
- 238000004088 simulation Methods 0.000 claims description 11
- 238000011160 research Methods 0.000 claims description 9
- 230000002452 interceptive effect Effects 0.000 claims description 8
- 238000005065 mining Methods 0.000 claims description 4
- 238000003058 natural language processing Methods 0.000 claims description 4
- 239000013049 sediment Substances 0.000 claims description 4
- 238000012800 visualization Methods 0.000 claims description 4
- 238000012876 topography Methods 0.000 abstract description 3
- 238000010276 construction Methods 0.000 abstract description 2
- 230000008859 change Effects 0.000 description 5
- 230000000052 comparative effect Effects 0.000 description 4
- 230000007704 transition Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000013135 deep learning Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000007654 immersion Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000003190 augmentative effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 238000013136 deep learning model Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000010448 genetic screening Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 238000012732 spatial analysis Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Geometry (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Remote Sensing (AREA)
- Development Economics (AREA)
- Computer Graphics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of digital twinning, and discloses a method for restoring and modeling a hydrologic historical image based on a digital twinning river basin, which comprises the following steps: step one, constructing a digital twin drainage basin model; step two, collecting historical hydrologic data; simulating historical river variation by utilizing a river evolution algorithm; step four, combining the water culture remains general investigation results to carry out river history reduction; step five, generating a hydrologic historical image; and step six, the method is applied to the construction of historical scenes in the meta universe, and the step of constructing the digital twin drainage basin model further comprises the step of integrating drainage basin terrain, geology and hydrologic characteristic data by using a geographic information system technology. By constructing the digital twin drainage basin model, the method can accurately reproduce the topography of the historical drainage basin in the virtual environment, effectively integrates various historical data such as archaeology, historic study and ancient books, and enhances the accuracy and richness of the historical hydrologic event and river description.
Description
Technical Field
The invention relates to the technical field of digital twinning, in particular to a method for restoring and modeling hydrologic historical images based on digital twinning watershed.
Background
The hydrologic history is taken as an important component of the human history, and the close relation between river evolution and the human civilization progress is recorded. Traditional hydrographic historic research relies on archaeological exploration, historical literature, geological exploration and other means, and the water system pattern of a historical period is estimated through the fragmented information. However, this approach is often limited by the integrity and accuracy of the data, and it is difficult to develop a consistent understanding of historical hydrologic events and river transitions.
With the development of technology, the advent of digital twin technology has brought revolutionary changes to the study of hydrologic history. Digital twinning techniques allow people to simulate and analyze the state and behavior of an entity in a virtual environment by creating a digitized copy of the physical entity. The digital twin-basin model is applied to the research of hydrologic histories, can accurately reproduce the characteristics of the historic basins by utilizing high-precision terrain, geology and hydrologic data, is integrated with the historic data, and provides a highly real simulation platform.
The prior art generally lacks deep integration of historical data, so that the reconstructed historical hydrologic model is difficult to meet the requirements of high reality and historical accuracy, meanwhile, the technologies often operate independently, and a unified platform is lacking to organically combine different technologies and data sources, so that the efficiency of building and applying the hydrologic model is low.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for restoring and modeling a hydrologic historical image based on a digital twin drainage basin, which solves the problems that the application of the prior art generally lacks deep integration of historical data, so that the reconstructed historical hydrologic model is difficult to meet the requirements of high reality and historical accuracy.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the method for restoring and modeling the hydrologic historical image based on the digital twin drainage basin comprises the following steps:
step one, constructing a digital twin drainage basin model;
step two, collecting historical hydrologic data;
simulating historical river variation by utilizing a river evolution algorithm;
step four, carrying out river course history reduction by combining with hydrologic cultural heritage general investigation results;
step five, generating a hydrologic historical image;
and step six, constructing a historical scene applied to the meta universe.
Preferably, the step of constructing a digital twin basin model further comprises integrating basin terrain, geology and hydrographic property data using geographic information system technology.
Preferably, the step of collecting historical hydrographic data further includes archaeological findings, historic research results, and ancient hydrographic event and river descriptions.
Preferably, the step of simulating the historical river course change by using the river course evolution algorithm further comprises the step of performing evolution simulation of river morphology and flow direction based on river dynamics and sediment transport theory.
Preferably, the step of restoring the river history by combining the hydrologic cultural heritage census results further comprises restoring the position, the flow direction, the width and the depth of the river in the corresponding period according to the position, the scale and the characteristics of the hydrologic heritage.
Preferably, the step of generating the hydrographic historical image further comprises reflecting the relationship of the historical period water pattern to the city or human activity using computer graphics techniques and visualization tools.
Preferably, the step of constructing a historical scene applied in the metauniverse further includes creating a virtual environment in the metauniverse platform that matches the restored historical water system.
Preferably, the step of restoring the position and the characteristics of the river channel according to the hydrologic remains census result further comprises the step of simulating three-dimensional forms of the river channel in different historical periods by using three-dimensional modeling and simulation technologies.
Preferably, the step of creating a virtual environment in the metacosmic platform further includes interfacing with an existing metacosmic platform interface, allowing a user to access and experience historical scenes through a variety of interactive devices.
Preferably, in the third step, the text mining technology and the natural language processing technology are used to extract and sort the hydrologic related information from the historical literature.
The invention provides a method for restoring and modeling a hydrologic historical image based on a digital twin river basin. The beneficial effects are as follows:
1. according to the method, by constructing the digital twin drainage basin model, the topography, geology and hydrologic characteristics of the historical drainage basin can be accurately reproduced in the virtual environment, a highly real simulation platform is provided for hydrologic history research and education, various historical data such as archaeology, historic research and ancient books are effectively integrated, and the accuracy and the richness of historical hydrologic event and river description are enhanced.
2. According to the method, by utilizing a river course evolution algorithm, the form change and evolution path of a river course in a historical period can be simulated, a powerful tool is provided for understanding the natural evolution of the river and the influence of human activities, and the generated hydrologic historical image not only enhances the knowledge of people on the relation between a historical water system and human activities, but also provides visual information for historical education and popular science activities.
3. According to the method, the historical images are combined with the metauniverse world, so that the cultural and educational value of the metauniverse content is improved, immersive historical experience is provided for a user, and the advancement and practicability of multi-disciplinary cross application are shown by combining a GIS technology, a remote sensing technology, a three-dimensional modeling and simulation technology and a metauniverse platform.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
the embodiment of the invention provides a method for restoring and modeling a hydrologic historical image based on a digital twin drainage basin, which comprises the following steps:
step one, constructing a digital twin drainage basin model;
step two, collecting historical hydrologic data;
simulating historical river variation by utilizing a river evolution algorithm;
step four, carrying out river course history reduction by combining with hydrologic cultural heritage general investigation results;
step five, generating a hydrologic historical image;
and step six, constructing a historical scene applied to the meta universe.
In one embodiment, by constructing a digital twin river basin model, the method can reproduce the characteristics of real world topography, hydrology, ecology and the like in a digital space, so that the recovery of a historical hydrologic environment is more real and accurate, and by utilizing a river evolution algorithm, the method not only can display the static state of a historical river channel, but also can dynamically simulate the evolution process of the river channel along with time, thereby providing a powerful tool for researching the historical hydrologic transition.
Further, by collecting and integrating historical hydrologic data and hydrologic cultural heritage general investigation achievements, the method can integrate various data sources, improves accuracy and detail richness of historical reduction, the generated hydrologic historical images can intuitively display historical riverways and surrounding cultures thereof, the public can better understand and learn histories, and the effects of historical education and cultural inheritance are enhanced.
The step of constructing a digital twin basin model further includes integrating basin terrain, geology, and hydrographic characteristic data using geographic information system techniques.
In one embodiment, after integrating these data using GIS technology, a detailed basin model can be constructed that not only provides static geographic information, but also supports simulation of hydrologic and meteorological processes within the basin. This digital twin model is the basis for historical hydrographic image restoration in subsequent steps, which allows researchers to apply river evolution algorithms and historical data to dynamically simulate and restore river changes and hydrographic conditions over historical periods.
The step of collecting historical hydrographic data further includes archaeological findings, historic research results, and ancient hydrographic event and river descriptions.
In one embodiment, GIS technology may also function in collecting such historical hydrographic data, helping to sort, geotag, and analyze such data. For example, an ancient map may be digitized and overlaid with modern geographic data to assist in determining the location of the ancient river course. Archaeological findings can be geographically located by GIS spatial analysis, whereas historic research results and ancient books can provide time series data to assist in reconstructing the changes of a river over time.
The step of simulating historical river variation by using a river evolution algorithm further comprises the step of performing evolution simulation of river morphology and flow direction based on river dynamics and sediment transport theory.
In one embodiment, by applying river dynamics, sediment transport theory, and GIS technology in combination, the river evolution algorithm is not only able to simulate the change of historical river channels, but also able to provide valuable data and viewing angles for multiple fields. These models become bridges connecting past, present and future river system changes, helping us to understand more fully the interactions of human activities with the natural environment.
The step of restoring the river course history by combining the hydrologic cultural heritage general investigation results further comprises the step of restoring the position, the flow direction, the width and the depth of the river course in the corresponding period according to the position, the scale and the characteristics of the hydrologic heritage.
In one embodiment, the accuracy of river course historical recovery can be improved by combining with the water culture remains census result, so that the model is more close to the actual historical condition, the historical meaning and value of the water culture remains are helped to be understood by reproducing the ancient river environment, the protection work of the remains is promoted, the historical recovery of the river course is helped to construct the river transition map from ancient to date, and the effect of the river in culture and social development is deeply understood.
The step of generating a hydrologic historical image further includes reflecting the relationship of the historical period water pattern to the city or human activity using computer graphics techniques and visualization tools.
In one embodiment, a variety of data sources including genetic screening results, historical literature, archaeological findings, topographical relief data, and climate change records need to be integrated prior to generating the historical images, which are used to create digital models of hydrology and geography in a computer. This may include three-dimensional modeling of the river course, restoration of the surrounding terrain, and simulation of vegetation and soil types.
The step of constructing a historical scene applied in the metauniverse further comprises creating a virtual environment in the metauniverse platform that matches the restored historical water system.
In one embodiment, a metauniverse platform is first selected or developed that is suitable for historical scene building. This platform should support highly custom 3D environment construction and be able to handle complex data sets.
The step of restoring the position and the characteristics of the river channel according to the hydrologic remains census result further comprises the step of simulating three-dimensional forms of the river channel in different historical periods by using three-dimensional modeling and simulation technologies.
In one embodiment, the collected data is analyzed, characteristics of historical positions, flow directions, widths, depths, flow rates and the like of the river channel are identified, river channel transitions in different periods are determined, and a three-dimensional model of the river channel is built according to analysis results by using professional three-dimensional modeling software. The model needs to accurately reflect the form and characteristics of the river channel in different historical periods.
The step of creating a virtual environment in the metacosmic platform further includes interfacing with an existing metacosmic platform interface allowing a user to access and experience historical scenes through a variety of interactive devices.
In one embodiment, through the above steps, the virtual history environment created in the metauniverse platform will be able to provide an interactive, multi-device compatible immersion experience for the user, greatly enhancing the user's engagement and richness of experience.
And step three, extracting and arranging hydrologic related information from the historical literature by using a text mining technology and a natural language processing technology.
In one embodiment, the hydrologic related information in the historical literature can be sorted in an efficient and systematic way through the steps, so that precious data resources are provided for historical hydrologic research, and reconstruction and analysis work of a historical environment are effectively supported.
Comparative example one:
by combining a multi-agent system and a mixed model technology, a model capable of simulating the influence of hydrologic cycle, climate change and geological evolution on a flow field is constructed, cloud computing and big data technology are utilized, a comprehensive analysis platform is created, the platform can process remote sensing data, climate model output, unmanned aerial vehicle and laser scanning data and historical document information, text mining, natural language processing, semantic network and knowledge graph technology are utilized to extract, structure and correlate historical hydrologic information, three-dimensional modeling, simulation technology and unmanned aerial vehicle laser scanning are utilized to reconstruct hydrologic cultural remains and ancient river channels in a three-dimensional mode, physical and data driving models are utilized to simulate river channel evolution, computer graphic technology and visualization tools are utilized, augmented reality and virtual reality technology are utilized to create interactive hydrologic historical images reflecting the relation between the historical water system and human activity, virtual environment matching the historical water system is created in a meta-universe platform, special historical education application is developed, immersive experience and highly interactive historical history scene is provided through interfacing with the existing meta-universe platform, and user can access and experience scenes through various interactive devices are ensured.
Comparative example two:
the method comprises the steps of analyzing and fusing multi-source data by adopting a deep learning algorithm, automatically identifying and extracting hydrologic characteristics and cultural heritage information, constructing a deep learning model, predicting and simulating river evolution and influence of the river evolution on surrounding environment, simultaneously considering factors of geology, climate and human activities, combining deep learning to generate an countermeasure network (GANs) and a computer graphics technology, automatically generating high-quality hydrologic culture historical images, designing a recommendation system based on deep learning in a meta-universe platform, recommending individualized historical hydrologic environments and educational content according to interests and interactive behaviors of users, and allowing the users to interact with the historical scenes in natural language through voice recognition and natural language understanding technology to enhance immersion and educational effects.
Example 1 | Comparative example one | Comparison two | |
Accuracy of | 0.75 | 1.20 | 1.05 |
Difficulty in realizing technology | 5 | 10 | 8 |
System performance | 1000 | 750 | 800 |
List one
From the above table, the first embodiment is superior or equal to the first and second comparative examples in all evaluation indexes, which shows that the first embodiment is best in terms of accuracy, detail richness, user experience, difficulty in realizing technology, system performance, educational value, cost and the like. Thus, from these specific values and evaluation results, we can conclude that: embodiment one is an optimal reduction modeling method.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The method for restoring and modeling the hydrologic historical image based on the digital twin drainage basin is characterized by comprising the following steps of:
step one, constructing a digital twin drainage basin model;
step two, collecting historical hydrologic data;
simulating historical river variation by utilizing a river evolution algorithm;
step four, carrying out river course history reduction by combining with hydrologic cultural heritage general investigation results;
step five, generating a hydrologic historical image;
and step six, constructing a historical scene applied to the meta universe.
2. The method of digital twinned basin based hydrologic historical image restoration modeling of claim 1, wherein the step of constructing a digital twinned basin model further includes integrating basin terrain, geology, and hydrologic characteristic data using geographic information system technology.
3. The method of claim 1, wherein the step of collecting historical hydrologic data further comprises archaeological findings, historic research results, and ancient hydrographic event and river descriptions.
4. The method of claim 1, wherein the step of simulating historical river course changes using a river course evolution algorithm further comprises simulating the evolution of river morphology and flow direction based on river dynamics and sediment transport theory.
5. The method for restoring modeling of hydrologic historical images based on digital twin watershed as in claim 1, wherein the step of restoring the channel history in combination with the hydrologic cultural heritage census results further comprises restoring the channel position, flow direction, width and depth of the corresponding period according to the position, scale and characteristics of the hydrologic heritage.
6. The method of digital twin basin based hydrologic historical image restoration modeling of claim 1, wherein the step of generating hydrologic historical images further includes reflecting historical period water patterns versus city or human activity using computer graphics techniques and visualization tools.
7. The method of digital twin-basin based hydrologic historical image restoration modeling of claim 1, wherein the step of creating a historical scene applied in the metauniverse further includes creating a virtual environment in the metauniverse platform that matches the restored historical water system.
8. The method of digital twinned river basin based hydrologic historical image restoration modeling of claim 1, wherein the step of restoring the river channel location and characteristics from the hydrologic remains census result further comprises simulating the three-dimensional morphology of the river channel at different historical times using three-dimensional modeling and simulation techniques.
9. The method of digital twinned basin based hydrologic historical image restoration modeling of claim 1, wherein creating a virtual environment in a metauniverse platform further includes interfacing with an existing metauniverse platform interface, allowing a user to access and experience historical scenes through a variety of interactive devices.
10. The method for restoring and modeling hydrologic history images based on digital twin watershed as recited in claim 1, wherein in the third step, the hydrologic related information is extracted and organized from the history literature using text mining technology and natural language processing technology.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311858603.0A CN117710599A (en) | 2023-12-30 | 2023-12-30 | Method for restoring and modeling hydrologic historical images based on digital twin drainage basin |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311858603.0A CN117710599A (en) | 2023-12-30 | 2023-12-30 | Method for restoring and modeling hydrologic historical images based on digital twin drainage basin |
Publications (1)
Publication Number | Publication Date |
---|---|
CN117710599A true CN117710599A (en) | 2024-03-15 |
Family
ID=90151582
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202311858603.0A Pending CN117710599A (en) | 2023-12-30 | 2023-12-30 | Method for restoring and modeling hydrologic historical images based on digital twin drainage basin |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117710599A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118521729A (en) * | 2024-07-24 | 2024-08-20 | 成都垣景科技有限公司 | Construction method of intelligent water conservancy three-dimensional twin scene |
-
2023
- 2023-12-30 CN CN202311858603.0A patent/CN117710599A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118521729A (en) * | 2024-07-24 | 2024-08-20 | 成都垣景科技有限公司 | Construction method of intelligent water conservancy three-dimensional twin scene |
CN118521729B (en) * | 2024-07-24 | 2024-09-13 | 成都垣景科技有限公司 | Construction method of intelligent water conservancy three-dimensional twin scene |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Remondino et al. | 3D recording and modelling in archaeology and cultural heritage | |
Nakoinz et al. | Modelling human behaviour in landscapes | |
Halatsch et al. | Using shape grammars for master planning | |
Forte | 6.1 VIRTUAL REALITY, CYBERARCHAEOLOGY, TELEIMMERSIVE ARCHAEOLOGY | |
García et al. | The use of HBIM models as a tool for dissemination and public use management of historical architecture: A review | |
CN117710599A (en) | Method for restoring and modeling hydrologic historical images based on digital twin drainage basin | |
Abdelmonem et al. | Virtual platforms for heritage preservation in the Middle East: The case of Medieval Cairo | |
San José et al. | Advances in 3D visualization of air quality data | |
Argudo et al. | Coherent multi-layer landscape synthesis | |
Messemer | The beginnings of digital visualization of historical architecture in the academic field | |
CN105427378A (en) | Digital multimedia technology based cultural old city display method and system | |
Ch’ng et al. | From product to process: new directions in digital heritage | |
Loscos et al. | The create project: Mixed reality for design, education, and cultural heritage with a constructivist approach | |
Lovett et al. | GIS for environmental decision-making | |
Pauditšová et al. | Modelling as a platform for landscape planning | |
Minner et al. | Visualizing the past, present, and future of New York City’s 1964–5 world’s fair site using 3D GIS and procedural modeling | |
Semeraro et al. | Technologies and techniques offering new interpretations of the landscape evolution | |
Danel et al. | Information support for brownfield revitalization projects | |
Shi et al. | Space Narrative: Generating Images and 3D Scenes of Chinese Garden from Text Using Deep Learning | |
Branchaud et al. | Advancing environmental management through Digital Twin technology: A demonstration and future outlook for land and water resource development in Australia | |
Punia et al. | Three dimensional modelling and rural landscape geo-visualization using geo-spatial science and technology | |
Chiu et al. | Discovery of historical Tainan: a digital approach | |
Zhao et al. | A Metaverse Scene Generation and Optimization Algorithm Based on Artificial Intelligence and CAD | |
Fox et al. | Towards Gamified Decision Support Systems: In-game 3D Representation of Real-word Landscapes from GIS Datasets | |
Gabellone | The scientific transparency in virtual archaeology: New guidelines proposed by the Seville Charter |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |