Cartography and geographic information science [[e-jouornal]] |
Pubbl/distr/stampa | [Gaithersburg, MD], : American Congress on Surveying and Mapping, 1999- |
Disciplina | 526 |
Soggetto topico |
Cartography
Geographic information systems |
Soggetto genere / forma | Periodicals. |
ISSN | 1545-0465 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996216325103316 |
[Gaithersburg, MD], : American Congress on Surveying and Mapping, 1999- | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Cartography and geographic information science [[e-jouornal]] |
Pubbl/distr/stampa | [Gaithersburg, MD], : American Congress on Surveying and Mapping, 1999- |
Disciplina | 526 |
Soggetto topico |
Cartography
Geographic information systems |
Soggetto genere / forma | Periodicals. |
ISSN | 1545-0465 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910231853903321 |
[Gaithersburg, MD], : American Congress on Surveying and Mapping, 1999- | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Cartography and geographic information systems |
Pubbl/distr/stampa | Bethesda, Md., : American Congress on Surveying and Mapping |
Disciplina | 526/.05 |
Soggetto topico |
Cartography
Geographic information systems Cartographie Systèmes d'information géographique Cartografie |
Soggetto genere / forma | Periodicals. |
Soggetto non controllato | Cartography |
ISSN | 2330-9172 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti | Cartography and Geographic Information Science |
Record Nr. | UNISA-996208578203316 |
Bethesda, Md., : American Congress on Surveying and Mapping | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Cartography and geographic information systems |
Pubbl/distr/stampa | Bethesda, Md., : American Congress on Surveying and Mapping |
Disciplina | 526/.05 |
Soggetto topico |
Cartography
Geographic information systems Cartographie Systèmes d'information géographique Cartografie |
Soggetto genere / forma | Periodicals. |
Soggetto non controllato | Cartography |
ISSN | 2330-9172 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti | Cartography and Geographic Information Science |
Record Nr. | UNINA-9910231849403321 |
Bethesda, Md., : American Congress on Surveying and Mapping | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Cartography and the impact of the quantitative revolution / / Colette Cauvin, Francisco Escobar, Aziz Serradj |
Autore | Cauvin Colette |
Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : iSTE : , : Wiley, , 2010 |
Descrizione fisica | 1 online resource (444 p.) |
Disciplina | 526 |
Collana |
Geographical information systems series
Thematic cartography |
Soggetto topico |
Cartography - Data processing
Digital mapping Geographic information systems Cartography Visualization |
Soggetto genere / forma | Electronic books. |
ISBN |
1-118-55812-X
1-299-14026-2 1-118-58711-1 1-118-58694-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Cartography and the Impact of the Quantitative Revolution; Title Page; Copyright Page; Table of Contents; General Introduction; PART I. TRANSFORMATIONS OF ATTRIBUTES [Z] AND USE OF QUANTITATIVE METHODS: GENERALIZATION AND MODELING; Part I. Introduction; Chapter 1. From the Description to the Generalization of an Attribute Variable Z; 1.1. Preliminary data analysis: a crucial step; 1.1.1. From classical description to exploratory data analysis (EDA); 1.1.2. Exploratory data analysis and graphical representations; 1.1.3. Quantitative level of measurement and graphical representation
1.2. Discretization: a constraint with several choices1.2.1. From data to the basic rules; 1.2.2. Choice of the number of classes; 1.2.3. Class limits and ranges; 1.2.4. Discretization and transformation of a variable; 1.3. Two essential requirements: choosing and assessing the methods; 1.3.1. A logic of reasoning; 1.3.2. Guidance for making the necessary choice; 1.3.3. Guidance and suggestions for making the decision; 1.4. Conclusion; Chapter 2. Generalization of Thematic Attributes; 2.1. Graphical transformations of reduction and generalization 2.1.1. Shared characteristics and constraints of graphical processing techniques2.1.2. Techniques for quantitative variables; 2.1.3. Graphical techniques for multiple and mixed variables: taxonomic tree, scalogram, seriated matrix; 2.2. From mathematical structuring to standardized cartographic results; 2.2.1. A factorial method for quantitative variables; 2.2.2. Methods for frequencies and mixed variables; 2.3. From mathematical classifications to the interpretation of the results; 2.3.1. Principles and review of classifications; 2.3.2. Representations and hierarchical classifications 2.3.3. Non-hierarchical classifications2.4. Conclusion; Chapter 3. Modeling Thematic Attributes: Generalizable Cartographic Choices; 3.1. Thematic models based on the concept of regression; 3.1.1. Common characteristics to regression models and to their representations; 3.1.2. Basic model: simple regression; 3.1.3. From statistical logic to thematic logic; 3.2. Models incorporating space via calculations; 3.2.1. A model linked to the concept of regression: trend surfaces; 3.2.2. A model integrating spatial component via distance: the potential model 3.3. Models incorporating space by construction and by calculations3.3.1. A model of spatial interaction: the isochronous gravity model; 3.3.2. A model based on the DAI - cellular automata - a method of simulating the evolution of geographic space; 3.4. Conclusion; Part I. Conclusion; PART II. NEW CARTOGRAPHIC TRANSFORMATIONS AND 3D REPRESENTATIONS; Part II. Introduction; Chapter 4. Cartographic Transformations of Position; 4.1. Cartographic transformations of position: aims and characteristics; 4.1.1. Double objectives; 4.1.2. Characteristics; 4.2. Thematic CTPs of weight 4.2.1. Characteristics and classification criteria |
Record Nr. | UNINA-9910141492903321 |
Cauvin Colette | ||
London, England ; ; Hoboken, New Jersey : , : iSTE : , : Wiley, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Cartography and the impact of the quantitative revolution / / Colette Cauvin, Francisco Escobar, Aziz Serradj |
Autore | Cauvin Colette |
Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : iSTE : , : Wiley, , 2010 |
Descrizione fisica | 1 online resource (444 p.) |
Disciplina | 526 |
Collana |
Geographical information systems series
Thematic cartography |
Soggetto topico |
Cartography - Data processing
Digital mapping Geographic information systems Cartography Visualization |
ISBN |
1-118-55812-X
1-299-14026-2 1-118-58711-1 1-118-58694-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Cartography and the Impact of the Quantitative Revolution; Title Page; Copyright Page; Table of Contents; General Introduction; PART I. TRANSFORMATIONS OF ATTRIBUTES [Z] AND USE OF QUANTITATIVE METHODS: GENERALIZATION AND MODELING; Part I. Introduction; Chapter 1. From the Description to the Generalization of an Attribute Variable Z; 1.1. Preliminary data analysis: a crucial step; 1.1.1. From classical description to exploratory data analysis (EDA); 1.1.2. Exploratory data analysis and graphical representations; 1.1.3. Quantitative level of measurement and graphical representation
1.2. Discretization: a constraint with several choices1.2.1. From data to the basic rules; 1.2.2. Choice of the number of classes; 1.2.3. Class limits and ranges; 1.2.4. Discretization and transformation of a variable; 1.3. Two essential requirements: choosing and assessing the methods; 1.3.1. A logic of reasoning; 1.3.2. Guidance for making the necessary choice; 1.3.3. Guidance and suggestions for making the decision; 1.4. Conclusion; Chapter 2. Generalization of Thematic Attributes; 2.1. Graphical transformations of reduction and generalization 2.1.1. Shared characteristics and constraints of graphical processing techniques2.1.2. Techniques for quantitative variables; 2.1.3. Graphical techniques for multiple and mixed variables: taxonomic tree, scalogram, seriated matrix; 2.2. From mathematical structuring to standardized cartographic results; 2.2.1. A factorial method for quantitative variables; 2.2.2. Methods for frequencies and mixed variables; 2.3. From mathematical classifications to the interpretation of the results; 2.3.1. Principles and review of classifications; 2.3.2. Representations and hierarchical classifications 2.3.3. Non-hierarchical classifications2.4. Conclusion; Chapter 3. Modeling Thematic Attributes: Generalizable Cartographic Choices; 3.1. Thematic models based on the concept of regression; 3.1.1. Common characteristics to regression models and to their representations; 3.1.2. Basic model: simple regression; 3.1.3. From statistical logic to thematic logic; 3.2. Models incorporating space via calculations; 3.2.1. A model linked to the concept of regression: trend surfaces; 3.2.2. A model integrating spatial component via distance: the potential model 3.3. Models incorporating space by construction and by calculations3.3.1. A model of spatial interaction: the isochronous gravity model; 3.3.2. A model based on the DAI - cellular automata - a method of simulating the evolution of geographic space; 3.4. Conclusion; Part I. Conclusion; PART II. NEW CARTOGRAPHIC TRANSFORMATIONS AND 3D REPRESENTATIONS; Part II. Introduction; Chapter 4. Cartographic Transformations of Position; 4.1. Cartographic transformations of position: aims and characteristics; 4.1.1. Double objectives; 4.1.2. Characteristics; 4.2. Thematic CTPs of weight 4.2.1. Characteristics and classification criteria |
Record Nr. | UNINA-9910830259203321 |
Cauvin Colette | ||
London, England ; ; Hoboken, New Jersey : , : iSTE : , : Wiley, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
CD-ROM as medium for large geographic information files [[electronic resource] /] / William W. Wallace, Janet K. Mencher |
Autore | Wallace William W |
Pubbl/distr/stampa | Silver Spring, Md. : , : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Geodetic Survey, , [1994] |
Descrizione fisica | 1 electronic text : HTML file |
Altri autori (Persone) | MencherJanet K |
Soggetto topico | Geographic information systems |
Soggetto genere / forma | Geographic information systems. |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910696612503321 |
Wallace William W | ||
Silver Spring, Md. : , : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Geodetic Survey, , [1994] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Central Africa energy : utilizing NASA Earth observations to explore flared gas as an energy source alternative to biomass in Central Africa / / Amber Jones [and six others] |
Autore | Jones Amber |
Pubbl/distr/stampa | Hampton, Virginia. : , : National Aeronautics and Space Administration, Langley Research Center, , September 2014 |
Descrizione fisica | 1 online resource (17 pages) : color illustrations, maps |
Collana | NASA/CR |
Soggetto topico |
Domestic energy
Biomass Natural gas Remote sensing Geographic information systems Compressed gas |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Central Africa energy |
Record Nr. | UNINA-9910702730903321 |
Jones Amber | ||
Hampton, Virginia. : , : National Aeronautics and Space Administration, Langley Research Center, , September 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The changing geospatial landscape |
Pubbl/distr/stampa | [Reston, Virginia] : , : National Geospatial Advisory Committee, , 2009 |
Descrizione fisica | 1 online resource (14 pages) : color illustrations |
Soggetto topico |
Geographic information systems
Geospatial data - Research - Methodology |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910706905003321 |
[Reston, Virginia] : , : National Geospatial Advisory Committee, , 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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China Satellite Navigation Conference (CSNC 2024) Proceedings [[electronic resource] ] : Volume I / / edited by Changfeng Yang, Jun Xie |
Autore | Yang Changfeng |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (569 pages) |
Disciplina | 621.382 |
Altri autori (Persone) | XieJun |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Telecommunication
Signal processing Aerospace engineering Astronautics Control engineering Robotics Automation Geographic information systems Communications Engineering, Networks Signal, Speech and Image Processing Aerospace Technology and Astronautics Control, Robotics, Automation Geographical Information System |
ISBN | 981-9969-28-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Editorial Board -- Preface -- Contents -- GNSS Applications -- UAV Dam Crack Detection System Based on Beidou and LIDAR -- 1 Introduction -- 2 Current Status of Research -- 3 System Introduction -- 4 System Implementation -- 4.1 Data Acquisition -- 4.2 Data Management -- 4.3 Data Processing -- 4.4 Control Center -- 5 Crack Detection Simulation Experiment -- 6 Innovation and Application Prospects -- 6.1 Innovation Points -- 6.2 Application Prospects -- 6.3 Uncertainties and Shortcomings -- References -- Beidou+5G-Based Plug-In Data Platform to Enhance the Accuracy of Smart Terminal App Applications -- 1 Introduction -- 2 Plug-In Data Platform Design -- 3 Experimental Results and Analysis -- 3.1 Quality Comparison of GNSS Observations -- 3.2 Navigation and Positioning Results and Analysis -- 4 Conclusions -- References -- Analysis on Effects of L-Band Solar Radio Bursts on GNSS -- 1 Introduction -- 2 Background -- 2.1 Surveillance Background -- 2.2 Fundamentals of Data -- 3 Effects on Receiving Signals -- 3.1 Analysis of Carrier-To-Noise Ratio Interference of GPS Signal in IGS Tracking Stations -- 3.2 Interference Analysis of Carrier-To-Noise Ratio of Swarm Satellites GPS Signal -- 3.3 The Relationship Between Altitude Angle of the Receiver to the Sun and the Change of Its Carrier-To-Noise Ratio -- 3.4 Characteristic of Interference -- 4 Effects on Positioning -- 5 Conclusion -- References -- GNSS-IR Retrieval of Soil Moisture in Sugarcane Plantation Based on Cross-Correlation Satellite Selection Method -- 1 Introduction -- 2 Principles and Methods -- 3 Experiment Analysis -- 4 Conclusion -- References -- Extraction of Soil Moisture Based GNSS-R Considering Vegetation Factors -- 1 Introduction -- 2 Observation Data -- 2.1 CYGNSS GNSS-R Data -- 2.2 SMAP Data -- 2.3 ISMN Data -- 3 Methodology -- 4 Results and Analysis.
4.1 Evaluation at Quasi-global Scale -- 4.2 Validation at In-situ Sites -- 5 Conclusion and Discussion -- References -- A Non-contact Tilt Compensation Method Based on Monocular Camera/GNSS/INS -- 1 Introduction -- 2 Coordinate System, Symbol Definition -- 3 Basic Model of Non-contact Measurement -- 4 Error Analysis of Non-contact Measurement -- 5 Camera Attitude Optimization -- 5.1 Get Camera Prior Pose -- 5.2 Reconstruction of 3D Model -- 5.3 Optimizing Camera Pose -- 6 Experiment and Results -- 6.1 Experimental Design -- 6.2 Experimental Results -- 7 Conclusion -- References -- CYGNSS High Spatiotemporal Resolution Flood Monitoring Based on POBI Interpolation: A Case Study of 2022 Pakistan Catastrophic Floods -- 1 Introduction -- 2 Data and Methods -- 2.1 Study Area -- 2.2 CYGNSS Data -- 2.3 SMAP Data and SMOS Data -- 2.4 CYGNSS SR -- 2.5 POBI Spatial Interpolation Method -- 3 Results -- 3.1 SR Threshold -- 3.2 SMAP Flood Monitoring Results -- 3.3 CYGNSS Flood Monitoring Results After POBI Interpolation -- 4 Conclusion -- References -- Modeling and Performance Evaluation of TomoSAR System Based on Reflected Signal of Beidou Navigation Satellite -- 1 Introduction -- 2 Signal Model of GNSS-TomoSAR -- 3 GNSS-TomoSAR Performance Indicators -- 4 Verification by Simulation -- 5 Conclusion -- References -- Soil Moisture Inversion Based on Dual-Frequency Signal of QZSS GEO Satellite -- 1 Introduction -- 2 Experiment Theory -- 2.1 Principle of GNSS-R Soil Moisture Inversion -- 2.2 QZSS System and L1 C/A, L5 Signal Characteristics -- 2.3 Signal Power Acquisition -- 3 Experiment and Results -- 3.1 Area of Study -- 3.2 Soil Moisture Detection Results -- 4 Generalize -- References -- Comparison and Analysis of Tidal Level Monitoring Accuracy Between GNSS-IR and Satellite Altimetry -- 1 Introduction -- 2 Datasets Description -- 2.1 Datasets. 2.2 Unification of Time Bases -- 2.3 Elevation Datum Conversion -- 2.4 Principle of GNSS-IR Technology -- 2.5 Principle of Satellite Altimetry Technology -- 3 Comparison and Characterization of Tide Level Monitoring Between GNSS-IR and Satellite Altimetry -- 4 Conclusions -- References -- Performance Assess of BDS-3 PPP-B2b Signal Service and Its Application in Precipitable Water Vapor Retrieval -- 1 Introduction -- 2 Methodology -- 2.1 The Theoretical Methods of PPP -- 2.2 The Atmospheric Water Vapor Retrieval Method Based on PPP-B2b Signal -- 3 Evaluation of the PPP-B2b Signal Service Range -- 3.1 Accuracy Evaluation of Satellite Orbit Corrected by PPP-B2b Signal -- 3.2 Accuracy Evaluation of Satellite Clock Offset Corrected by PPP-B2b Signal -- 3.3 Evaluation of PPP-B2b Service Performance -- 4 Application of PPP-B2b Signal in Water Vapor Retrieval -- 4.1 Accuracy Evaluation of ZTD -- 4.2 Accuracy Evaluation of PWV -- 5 Conclusion -- References -- Deformation Monitoring Experiment and Data Analysis of Beidou Surface Deformation Measuring Radar and GBSAR -- 1 Introduction -- 2 Introduction to Beidou Surface Deformation Measurement Radar -- 3 Data Acquisition and Deformation Inversion -- 3.1 Experimental Design and Data Acquisition -- 3.2 PS Point Selection and Error Compensation -- 3.3 Three-Dimensional Deformation Inversion -- 3.4 Comparison of Deformation with Monitoring Points -- 4 Experimental Results -- 5 Conclusion -- References -- Research on Zenith Tropospheric Delay Model Based on TCN Improving HGPT2 Model -- 1 Introduction -- 2 Data -- 3 Models and Methods -- 3.1 GPT3 Model -- 3.2 HGPT2 Model -- 3.3 Temporal Convolutional Network -- 4 Experiment and Discussion -- 4.1 Comparison Between HGPT2ZTD and GPT3 ZTD -- 4.2 Accuracy of TCNZTD -- 5 Conclusion -- References -- Prediction of Ionospheric TEC Based on BLS-LSTM-GRU Hybrid Model. 1 Introduce -- 2 Data and Preprocessing -- 2.1 Data -- 2.2 Pretreatment -- 3 Methods -- 3.1 Width Learning Network Principle and Structure -- 3.2 Principles and Structure of the LSTM Neural Network -- 3.3 Principles and Structure of GRU Gated Cycle Unit Network -- 3.4 A Hybrid Model Based on the BLS-LSTM-GRU -- 4 Experiment -- 4.1 Data Collation and Experimental Setup -- 4.2 Evaluation Indicators -- 4.3 Accuracy Assessment of Different Test Sites -- 4.4 Assessment of Accuracy Under Different Geomagnetic Conditions -- 5 Conclusion -- References -- Heavy Rainfall Prediction Model Using Sample Entropy Derived from GNSS-PWV and PSO-SVM -- 1 Introduction -- 2 Study Area and PWV Sample Entropy Extraction -- 2.1 Study Area -- 2.2 The Method of GNSS Inversion PWV -- 2.3 GNSS-PWV Time Domain Feature Extraction -- 2.4 GNSS-PWV Sample Entropy Extraction -- 3 PSO-SVM-Based Heavy Rainfall Prediction Model -- 3.1 PSO-SVM Algorithm -- 3.2 Model for Predicting Heavy Rainfall -- 3.3 Evaluation Indicators -- 4 Results and Discussion -- 4.1 Feature Correlation Analysis -- 4.2 Effect of Different Features on Model Prediction Results -- 4.3 Impact of Different Machine Learning Algorithms on Model Prediction Results -- 4.4 Forecasting Model Comparison -- 5 Conclusion -- References -- High Precision ZTD Model for the Chinese Southeast Region Using ERA5 Reanalysis Data -- 1 Introduction -- 2 Elevation Normalization Factor Grid -- 2.1 Calculate ZTD by ERA5 Reanalysis Data -- 2.2 Elevation Normalization Factor Fit -- 3 ZTD Spatial and Temporal Characteristics Analysis -- 4 Regional Troposphere Zenith Total Delay Grid Model -- 5 Conclusion -- References -- Research on the Construction of "BeiDou Navigation Satellite System Application Industry Development Index" System -- 1 Background -- 1.1 Present Situation Analysis -- 1.2 Necessity -- 2 System Design. 2.1 Construction Purpose -- 2.2 Modeling Method -- 2.3 Algorithm -- 2.4 Data Sources -- 2.5 Construction of the BDTT -- 2.6 BDI Report Form -- 3 Achievements -- 4 BDI Value Mining and Scenario Application Research -- 4.1 Social Value Mining and Application: "BeiDou Low Carbon Monitor Index" -- 4.2 Economic Value Mining and Application: "BDS Investment Index" -- 4.3 Scientific and Technological Value Mining and Application: "BDS Scientific Research Index" -- 4.4 Commercial Value Mining and Application: BDTT -- 4.5 Mining and Application of Industrial Chain Ecological Value: Research on BDS Industry Derivative Business -- 5 Conclusion -- References -- Design and Implementation of Integrated Navigation and Positioning System for Towed Streamer Marine Seismic Exploration -- 1 Introduction -- 2 Requirements Analysis -- 2.1 Real-Time Navigation and Positioning Scene -- 2.2 Near-real-time Navigation and Positioning Scene -- 2.3 Positioning Data Post-processing Scene -- 3 Design of Crucial Algorithms -- 3.1 Real-Time Algorithm -- 3.2 Near-real-time Algorithm -- 3.3 Post-processing Algorithm -- 4 System Implementation -- 5 System Verification -- 5.1 Simulation Data Experiment -- 5.2 Measured Data Experimental Validation -- 6 Conclusion -- References -- Analysis of GNSS Coordinate Time Series in North China by Independent Component Analysis -- 1 Introduction -- 2 Data and Methods -- 2.1 GNSS Coordinate Time Series -- 2.2 Coordinate Time Series Fitting Model -- 2.3 Noise Analysis on Residual Coordinate Time Series -- 2.4 Spatial Noise Analysis of Residual Time Series -- 3 Results and Analysis -- 3.1 Noise Model of GNSS Residual Coordinate Time Series -- 3.2 Spatiotemporal Decomposition by ICA and CME Signal Identification -- 3.3 The Influence of CME on GNSS Coordinate Time Series -- 4 Conclusions and Prospect -- References. A Machine-Learning-Based Missing Data Interpolation Method for GNSS Time Series. |
Record Nr. | UNINA-9910760292603321 |
Yang Changfeng | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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