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Fusing interferometric radar and Laser altimeter data to estimate surface topography and vegetation heights / K.C. Slatton in IEEE Transactions on geoscience and remote sensing, vol 39 n° 11 (November 2001)
[article]
Titre : Fusing interferometric radar and Laser altimeter data to estimate surface topography and vegetation heights Type de document : Article/Communication Auteurs : K.C. Slatton, Auteur ; Melba M. Crawford, Auteur ; B.L. Evans, Auteur Année de publication : 2001 Article en page(s) : pp 2470 - 2482 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] couvert végétal
[Termes IGN] données lidar
[Termes IGN] données multiéchelles
[Termes IGN] filtre de Kalman
[Termes IGN] fusion de données
[Termes IGN] hauteur des arbres
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] lasergrammétrie
[Termes IGN] modèle de diffusion du rayonnement
[Termes IGN] modèle numérique de sursol
[Termes IGN] problème inverse
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Interferometric synthetic aperture radar (INSAR) and laser altimeter (LIDAR) systems are both widely used for mapping topography. INSAR can map extended areas but accuracies are limited over vegetated regions, primarily because the observations are not measurements of true surface topography. The measurements correspond to a height above the true surface that depends on both the sensor and the vegetation. Conversely, topography from LIDAR is very accurate, but coverage is limited to smaller regions. We demonstrate how these technologies can be used synergistically. First, we determine surface elevations and vegetation heights from dual-baseline INSAR data by inverting an INSAR scattering model. We then combine sparse LIDAR observations with the INSAR inversion results to improve the estimates of ground elevations and vegetation heights. This is accomplished via a multiresolution Kalman Filter that provides both the estimates and a measure of their uncertainty at each location. Combining data from the two sensors provides estimates that are more accurate than those obtained from INSAR alone yet have dense, extensive coverage, which is difficult to obtain with LIDAR. Contributions of this work include 1) combining physical modeling with multiscale estimation to accommodate non-linear measurement-state relationships and 2) improving estimates of ground elevations and vegetation heights for remote sensing applications. Numéro de notice : A2001-132 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.964984 En ligne : https://doi.org/10.1109/36.964984 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21828
in IEEE Transactions on geoscience and remote sensing > vol 39 n° 11 (November 2001) . - pp 2470 - 2482[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-01111 RAB Revue Centre de documentation En réserve L003 Disponible Mapping Ontario's highways with Lidar: can Lidar complete with photogrammetric mapping / R. Berg in GIM international, vol 15 n° 11 (November 2001)
[article]
Titre : Mapping Ontario's highways with Lidar: can Lidar complete with photogrammetric mapping Type de document : Article/Communication Auteurs : R. Berg, Auteur ; J. Ferguson, Auteur Année de publication : 2001 Article en page(s) : pp 12 - 15 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] cartographie numérique
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] modèle numérique de terrain
[Termes IGN] Ontario (Canada)
[Termes IGN] photogrammétrie numérique
[Termes IGN] restitution numériqueRésumé : (Auteur) The spectrum of applications for LIDAR (LIght Detection And Ranging) is a broad one and includes, among many, highway design surveys and route planning studies. One of the questions the Ministry of Transportation Ontario (MTO) Canada wanted to get an answer to was whether LIDAR could provide accuracy similar to that of the photogrammetric mapping products normally produced. In the authors' experience, the answer was negative. However, they discuss the fact that LIDAR offers some distinct advantages, such as speed of DTM generation and higher point density under canopy which can, under certain conditions, result in a superior DTM. Numéro de notice : A2001-122 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21822
in GIM international > vol 15 n° 11 (November 2001) . - pp 12 - 15[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-01111 RAB Revue Centre de documentation Revues en salle Disponible Recognition of fiducial surfaces in lidar surveys of coastal topography / J.C. Brock in Photogrammetric Engineering & Remote Sensing, PERS, vol 67 n° 11 (November 2001)
[article]
Titre : Recognition of fiducial surfaces in lidar surveys of coastal topography Type de document : Article/Communication Auteurs : J.C. Brock, Auteur ; A.H. Sallenger, Auteur ; W.B. Krabill, Auteur ; R.N. Swift, Auteur ; C.W. Wright, Auteur Année de publication : 2001 Article en page(s) : pp 1245 - 1258 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] couverture (données géographiques)
[Termes IGN] données lidar
[Termes IGN] Etats-Unis
[Termes IGN] géomorphologie
[Termes IGN] littoral
[Termes IGN] modèle numérique de surface
[Termes IGN] reconnaissance de surface
[Termes IGN] réflectance de surface
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] trait de côteRésumé : (Auteur) A new method for the recognition and mapping of surfaces in coastal landscapes that provide accurate and low variability topographic measurements with respect to airborne lidar surveys is described and demonstrated in this paper. Such surfaces are herein termed "fiducial" because they can represent reference baseline morphology in studies of coastal change due to natural or anthropogenic causes. Nonfiducial surfaces may also be identified in each separate lidar survey to be used in a given geomorphic change analysis. Sites that are nonfiducial in either or both lidar surveys that bracket the time period under investigation may be excluded from consideration in subsequent calculations of survey-to-survey elevation differences to eliminate spurious indications of landscape change. This new analysis method, or lidar fiducial surface recognition (LFSR) algorithm, is intended to more fully enable the nonambiguous use of topographic lidar in a range of coastal investigations. The LFSR algorithm may be widely applied, because it is based solely on the information inherent in the USGS/NASA/NOAA airborne topographic lidar coverage that exists for most of the contiguous U.S. coastline. Numéro de notice : A2001-210 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2001journal/november/2001_nov_1245 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21904
in Photogrammetric Engineering & Remote Sensing, PERS > vol 67 n° 11 (November 2001) . - pp 1245 - 1258[article]Digital Elevation Model technologies and applications / D.F. Maune (2001)
Titre : Digital Elevation Model technologies and applications : The DEM users manual Type de document : Guide/Manuel Auteurs : D.F. Maune, Éditeur scientifique Editeur : Bethesda [Maryland - Etats-Unis] : American Society for Photogrammetry and Remote Sensing ASPRS Année de publication : 2001 Importance : 539 p. Format : 18 x 26 cm ISBN/ISSN/EAN : 978-1-57083-064-8 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] bathymétrie laser
[Termes IGN] données lidar
[Termes IGN] erreur moyenne quadratique
[Termes IGN] GPS-INS
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] qualité
[Termes IGN] radar
[Termes IGN] recouvrement d'images
[Termes IGN] sonar
[Termes IGN] sondeur multifaisceaux
[Termes IGN] système de référence altimétrique
[Termes IGN] télémétrie laser
[Termes IGN] Triangulated Irregular Network
[Termes IGN] valeur aberranteIndex. décimale : 35.20 Traitement d'image Résumé : (Editeur) What's a DEM ? What's a TIN ? What's the difference between a DEM, DTM and DSM ? What ar mass points and breaklines ? How can I use DEMS to solve my problems ? How can I get DEMs and what's already available ? How are DEM's produced from photogrammetry ? IFSAR ? Lidar ? Sonar ? What are the capabilities and limitations of these technologies for producing DEMs ? What technology is best for me ? How do I check the quality of a DEM ? How do I know what to ask for ? How much do DEMs cost ? If you have these questions, and more, this manual is for you. This DEM Users Manual is designed to help potential users of digital elevation data understand and articulate their requirements in a way that their expectations are satisfied or ex-ceeded. If you have a dream that DEMs can help you do a better jog, or perhaps help society as a whole, this manual is dedicated to you - the DEM user. Note de contenu : 1- Introduction
David F Maune, Stephen M Kopp, Clayton A Crawford, and Chris E Zervas
Digital Elevation Models (DEMs)
3-D Surfaces from Mass Points and Breaklines
HydroEnforced DEMs and Contours
3-D Surface Modeling
Triangulated Irregular Networks (TINs)
Gridded Surfaces (DEMs, DTMs, DSMs)
Interpolation Methods
Contour Representation
Tides
Characteristics of Tides
Non-tidal Water Level Variations
The National Tidal Datum Epoch
Tide Station Networks
Bench Marks and Differential Leveling
Tide Zoning
2 - Vertical Datums
David Zilkoski
National Geodetic Vertical Datum of 1929 (NGVD 29)
North American Vertical Datum of 1988 (NAVD 88)
International Great Lakes Datum of 1985 (IGLD 85)
Tidal Datums
Comparison of NAVD 88 Heights with Local Mean Sea Level
National Height Modernization Study
Differences Between Ellipsoid Heights and Orthometric Heights
Basic Concepts of GPS-Derived Heights
Relating Vertical Datums to One Another
3 - Accuracy Standards
David F Maune, julie Binder Maitra, and Edward J McKay
Accuracy vs Precision
Introduction to Geodetic Control Standards
Introduction to Mapping Standards
National Map Accuracy Standards (NMAS), 1947
ASPRS Accuracy Standards for Large-Scale Maps, 1990
FGDC Geospatial Positioning Accuracy Standards, 1998
FGDC Standards for Nautical Charting Hydrographic Surveys
Draft Content Standard for Framework Land Elevation Data
National Digital Elevation Program (NDEP) Steering Committee Guidelines
4 - National Digital Elevation Program (NDEP)
Kenneth Osborn, John List, Dean Gesch, John Crowe, Gary Merrill, Eric Constance,
james Mauck, Christine Lund, Vincent Caruso, and John Kosovich
Program Goals and Accomplishments
History of USGS Elevation Data
The National Elevation Dataset (NED)
Archiving and Dissemination of Digital Elevation Data
Future Directions
Investigations and Research
5 - Photogrammetry
Craig W Molander
Technology Overview
Supporting Technologies
Data Collection Methods
Analytical & Softcopy Stereoplotters
Compilation Approaches
Digital Correlation
Types of Sensors
Film Cameras
Satellite Imagery
Digital Airborne Systems
Calibration Procedures
Planning Considerations
Capabilities and Limitations
Comparison with Competing/Complementary Technologies
Post-Processing
Quality Control
User Applications
Data Deliverables
Cost Considerations
Technological Advancements
6 - Interferometric Synthetic Aperture Radar (IFSAR)
Scott Hensley, Riadh Munjy, and Paul Rosen
Technology Overview
Developmental History
Types of Sensors
Position, Attitude and Baseline Metrology
Frequency Selection
Airborne Single-Pass/Repeat-Pass
Spaceborne Single-Pass/Repeat-Pass
Present Operating Status
NASA-NIMA/SRTNI (Shuttle Radar Topography Mission)
Calibration Procedures
Planning Considerations
Comparison with Other Technologies
Post Processing
Quality Control
User Applications
Data Deliverables
Cost Considerations
Technological Advancements
7 - Topographic Lidar
Robert Fowler
Technology Overview
Developmental History
Types of Sensors
First, Last, and Intermediate Returns
Intensity Returns
Present Operating Status
Calibration Procedures
Planning Considerations
Capabilities and Limitations
Post-Processing
Quality Control
User Applications
Data Deliverables
Cost Considerations
Comparison with Other Technologies
Technological Advancements
8 - Airborne Lidar Bathymetry
Gary C Guenther
User Applications
Developmental History
Concepts
Current Operating Status
Cost Considerations
Comparison with Overlapping Technologies
Operational Considerations
Future Advancements
9 - Sonar
Lloyd C Huff and Guy T Noll
Technology Overview
Developmental History
Basic Principles of Sonar Systems
Types of Sonars
Vertical Beam Sonar
Multibeam Sonar
Interferometric Sonar
Side Scan Sonar
Present Operating Status
Calibration Procedures
Planning Considerations
Capabilities and Limitations
Comparisons with Competing/Complementary Technologies
Post-Processing
Quality Control
Data Deliverables
Cost Considerations
Technological Advancements
10 - Enabling Technologies
Bruno Scherzinger, joe Hutton, and Moharned Mostafa
Precise GPS Positioning
Technology Overview
Developmental History
Types of Sensors
Post-Processing
Capabilities and Limitations
Planning Considerations and Quality Control
Comparison with Competing Technologies
Technological Advances
GPS-Aided Inertial Navigation System
Technology Overview
Developmental History
Direct Georeferencing Systems for Airborne DEM Generation
Types of Airborne DG Systems
Developmental History
Present Operating Status
Technology Overview
Boresight Calibration Requirements
Lever Arm Calibration Requirements
Post-Processing
Planning Considerations
Quality Control
Motion Sensing System for Multibeam Sonar Bathymetry
Overview
Developmental History
Types of Sensors
11 - DEM User Applications
David F Maune, Lloyd C Huff, and Gary C Guenther
Land Mapping
Planimetric Maps
Topographic Maps
Digital Orthophotos
Flood Insurance Rate Maps
Wetland Maps
Forestry Maps
Corridor or Right-of-Way Maps
The National Map
Transportation Applications
Land Transportation and Safety
Air Navigation and Safety
Marine Navigation and Safety
Other Underwater Applications
Resource Management
Seafloor Morphology
Underwater Archeology
Other Engineering Applications
Coastal Engineering
Water Supply and Quality
Stormwater Management
Subsidence Monitoring
Disaster Preparedness and Response
Floodplain Management
Seismic Monitoring
Military Applications
Commercial Applications
Precision Farming
Recreation
Real Estate, Banking, Mortgage, and Insurance Industries
Individual Applications
12 - DEM Quality Assessment
Cariton Daniel and Keith Tennant
DEM Performance Metrics
Vertical and Horizontal Accuracy
Post Spacing
Vertical & Horizontal Datum
Projection and Coordinate System
File Format & Sizes
Metadata
DEM Editing
Technology-Specific Accuracy Issues - Engineering Analysis
Photogrammetrically-Collected DEMs
Lidar-Collected DEMs
IFSAR-Collected DEMs
Accuracy Assessment and Reporting
TIN/DEM Accuracy Testing
Quality Control (QC) Checkpoints
TIN Interpolation
Example Lidar TIN Dataset
RMSE Calculations
Outliers
Accuracy Reporting at 95 Percent Confidence Level
The Percentile Method of Accuracy Assessment
DEM "5-Step" Accuracy Assessment and Reporting
Lidar Systematic Error Assessment
Programatic Examples
13 - DEM User Requirements
David F Maune, Timothy A Blak, and Eric W Constance
Changing Requirements
Accuracy and Cost Considerations
Technology-Based Cost Comparisons
Area-Based Cost Comparisons
Accuracy-Based Cost Comparisons
Other Lidar Accuracy/Cost Factors
DEM User Requirements Menu
Surface Description
Vertical & Horizontal Accuracy
Data Model
Horizontal & Vertical Datums
Coordinate System & Units
Data Format, File Size, Tile Size and Buffers
Outliers & Other Quality Factors
Appendix A, Acronyms
Appendix B, Term Definitions
Appendix C, Color Plates
IndexNuméro de notice : 10168 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=46000 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 10168-02 35.20 Livre Centre de documentation Télédétection Disponible 10168-01 35.20 Livre Centre de documentation Télédétection Disponible 10168-03 DEP-EL Livre Marne-la-Vallée Dépôt en unité Exclu du prêt
contenu dans Mapping the 21st century: the 20th International Cartographic Conference, ICC 2001, Beijing, China, August 6 - 10, 2001, vol 2. Proceedings / L. Li (2001)
Titre : Three-dimensional city modeling from airborne laser scanning Type de document : Article/Communication Auteurs : Hiroshi Masaharu, Auteur ; et al., Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2001 Conférence : ICC 2001, 20th International Cartographic Conference ICA, Mapping the 21th century 06/08/2001 10/08/2001 Pékin Chine OA Proceedings Importance : pp 1337 - 1343 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] lasergrammétrie
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] modélisation 3D
[Termes IGN] réalité virtuelle
[Termes IGN] système d'information géographique
[Termes IGN] visualisation 3DRésumé : (Auteur) A method to automatically make 3-D city models from airborne laser scanner data was developed. By comparing another 3-D model made using 2-D map data, the 3-D data specifications are discussed from a cartographic aspect. Though there are normally no boundary data between parts of a building with different stories in 2-D map data, we consider the distinction is necessary for 3D modeling. This indicates a merit of segmentation method of laser scanner data in 3D modeling. Numéro de notice : C2001-051 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://icaci.org/files/documents/ICC_proceedings/ICC2001/icc2001/file/f11043.pd [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64958 Predicting forest stand characteristics with airborne scanning Lidar / J.E. Means in Photogrammetric Engineering & Remote Sensing, PERS, vol 66 n° 11 (November 2000)PermalinkAcquisition vectorielle 3D de milieux urbains pour les télécommunications mobiles / Yves Léchervy (1999)PermalinkRSS 99 Earth observation / P. Pan (1999)Permalink3rd Earsel workshop on LIDAR remote sensing of land and sea, Tallinn, Estonia, 17-19 July 1997 / S. Babichenko (1997)PermalinkProceedings of the first international airborne remote sensing, 1. Tome 1 / Environmental research institute of Michigan (1994)PermalinkProceedings of the first international airborne remote sensing, 2. Tome 2 / Environmental research institute of Michigan (1994)PermalinkProceedings of the first international airborne remote sensing, 3. Tome 3 / Environmental research institute of Michigan (1994)PermalinkPermalinkShallow-water bathymetry using combined LIDAR and passive multispectral scanner data / D.R. Lyzenga in International Journal of Remote Sensing IJRS, vol 6 n° 1 (January 1985)Permalink