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Mapping vegetation in a heterogeneous mountain rangeland using Landsat data: an alternative method to define and classify land-cover units / A.M. Cingolani in Remote sensing of environment, vol 92 n° 1 (15 July 2004)
[article]
Titre : Mapping vegetation in a heterogeneous mountain rangeland using Landsat data: an alternative method to define and classify land-cover units Type de document : Article/Communication Auteurs : A.M. Cingolani, Auteur ; D. Renison, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 84 - 97 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse discriminante
[Termes IGN] Argentine
[Termes IGN] bande spectrale
[Termes IGN] carte de la végétation
[Termes IGN] classification dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] données de terrain
[Termes IGN] état de conservation
[Termes IGN] flore locale
[Termes IGN] image Landsat
[Termes IGN] limite de résolution géométrique
[Termes IGN] montagne
[Termes IGN] occupation du sol
[Termes IGN] photo-interprétation assistée par ordinateurRésumé : (Auteur) Three major problems are faced when mapping natural vegetation with mid-resolution satellite images using conventional supervised classification techniques: defining the adequate hierarchical level for mapping; defining discrete land cover units discernible by the satellite; and selecting representative training sites. In order to solve these problems, we developed an approach based on the: (1) definition of ecologically meaningful units as mosaics or repetitive combinations of structural types, (2) utilization of spectral information (indirectly) to define the units, (3) exploration of two alternative methods to classify the units once they are defined: the traditional, Maximum Likelihood method, which was enhanced by analyzing objective ways of selecting the best training sites, and an alternative method using Discriminant Functions directly obtained from the statistical analysis of signatures. The study was carried out in a heterogeneous mountain rangeland in central Argentina using Landsat data and 251 field sampling sites. On the basis of our analysis combining terrain information (a matrix of 251 stands X 14 land cover attributes) and satellite data (a matrix of 251 stands x 8 bands), we defined 8 land cover units (mosaics of structural types) for mapping, emphasizing the structural types which had stronger effects on reflectance. The comparison through field validation of both methods for mapping units showed that classification based on Discriminant Functions produced better results than the traditional Maximum Likelihood method (accuracy of 86% vs. 78%). Numéro de notice : A2004-300 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.05.008 En ligne : https://doi.org/10.1016/j.rse.2004.05.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26827
in Remote sensing of environment > vol 92 n° 1 (15 July 2004) . - pp 84 - 97[article]Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea / S. Lee in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)
[article]
Titre : Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea Type de document : Article/Communication Auteurs : S. Lee, Auteur ; J. Choi, Auteur ; K. Min, Auteur Année de publication : 2004 Article en page(s) : pp 2037 - 2052 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] base de données localisées
[Termes IGN] cartographie des risques
[Termes IGN] classification dirigée
[Termes IGN] Corée
[Termes IGN] données de terrain
[Termes IGN] effondrement de terrain
[Termes IGN] image IRS
[Termes IGN] linéament
[Termes IGN] lithologie
[Termes IGN] occupation du sol
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] photographie aérienne
[Termes IGN] risque naturel
[Termes IGN] système d'information géographique
[Termes IGN] zone à risqueRésumé : (Auteur) The aim of this study is to evaluate the hazard of landslides at Boun, Korea, using a Geographic Information System (GIS) and remote sensing. Landslide locations were identified in the Boun area from interpretation of aerial photographs and field surveys. The topographic, soil, forest, geologic, lineament and land cover data were collected, processed and constructed into a spatial database using GIS and remote sensing data. The factors that influence landslide occurrence, such as slope, aspect and curvature of the topography, were calculated from the topographic database. Texture, material, drainage and effective soil thickness were extracted from the soil database, and type, age, diameter and density of timber were extracted from the forest database. The lithology was extracted from the geological database and lineaments were detected from Indian Remote Sensing (IRS) satellite images. The land cover was classified based on the Landsat Thematic Mapper (TM) satellite image. Landslide hazard areas were analysed and mapped, using the landslide-occurrence factors, by the probability-likelihood ratio method. The results of the analysis were verified using actual landslide location data. The validation results showed satisfactory agreement between the hazard map and the existing data on landslide locations. Numéro de notice : A2004-226 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618734 En ligne : https://doi.org/10.1080/01431160310001618734 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26753
in International Journal of Remote Sensing IJRS > vol 25 n° 11 (June 2004) . - pp 2037 - 2052[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04091 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Mapping coastal vegetation using an expert system and hyperspectral imagery / K.S. Schmidt in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 6 (June 2004)
[article]
Titre : Mapping coastal vegetation using an expert system and hyperspectral imagery Type de document : Article/Communication Auteurs : K.S. Schmidt, Auteur ; Andrew K. Skidmore, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 703 - 715 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] carte de la végétation
[Termes IGN] classification
[Termes IGN] image hyperspectrale
[Termes IGN] littoral
[Termes IGN] marais salé
[Termes IGN] Pays-Bas
[Termes IGN] photo-interprétation
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] photographie aérienne
[Termes IGN] plante halophile
[Termes IGN] système expertRésumé : (Auteur) Mapping and monitoring saltmarshes in the Netherlands are important activities of the Ministry of Public Works (Rijkswaterstaot). The Survey Department (Meetkundige Dienst) produces vegetation maps using aerial photographs. However, it is a time-consuming and expensive activity. The accuracy of the conventional vegetation map derived using aerial photograph interpretation (API) is estimated to be around 43 percent. In this study, an alternative method is demonstrated that uses an expert system to combine airborne hyperspectral imagery with terrain data derived from radar altimetry The accuracy of the vegetation map generated by the expert system increased to 66 percent. When hyperspectral imagery alone was used to classify coastal wetlands, an accuracy of 40 percent was achieved-comparable to the accuracy of the API-derived vegetation map. An analysis of the efficiency of the proposed expert system showed that the speed of map production is increased by using the new method. This means that digital image classification using the expert system is an objective and repeatable method superior to the conventional API method. Numéro de notice : A2004-205 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.70.6.703 En ligne : https://doi.org/10.14358/PERS.70.6.703 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26732
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 6 (June 2004) . - pp 703 - 715[article]The characteristics and interpretability of land surface change and implications for project design / T.L. Sohl in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 4 (April 2004)
[article]
Titre : The characteristics and interpretability of land surface change and implications for project design Type de document : Article/Communication Auteurs : T.L. Sohl, Auteur ; A.L. Gallant, Auteur ; T.R. Loveland, Auteur Année de publication : 2004 Article en page(s) : pp 439 - 448 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photo-interprétation
[Termes IGN] classification automatique d'objets
[Termes IGN] détection de changement
[Termes IGN] occupation du sol
[Termes IGN] photo-interprétation
[Termes IGN] photo-interprétation assistée par ordinateurRésumé : (Auteur) The need for comprehensive, accurate information on landcover change has never been greater. While remotely sensed imagery affords the opportunity to provide information on land-cover change over large geographic expanses at a relatively low cost, the characteristics of land-surface change bring into question the suitability of many commonly used methodologies. Algorithm-based methodologies to detect change generally cannot provide the same level of accuracy as the analyses done by human interpreters. Results from the Land Cover Trends project, a cooperative venture that includes the U.S. Geological Survey, Environmental Protection Agency, and National Aeronautics and Space Administration, have shown that land-cover conversion is a relatively rare event, occurs locally in small patches, varies geographically and temporally, and is spectrally ambiguous. Based on these characteristics of change and the type of information required, manual interpretation was selected as the primary means of detecting change in the Land Cover Trends project. Mixtures of algorithm-based detection and manual interpretation may often prove to be the most feasible and appropriate design for change-detection applications. Serious examination of the expected characteristics and measurability of change must be considered during the design and implementation phase of any change analysis project. Numéro de notice : A2004-120 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.4.439 En ligne : https://doi.org/10.14358/PERS.70.4.439 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26647
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 4 (April 2004) . - pp 439 - 448[article]Evaluation of airborne video data for land-cover classification accuracy assessment / I.T. Grierson in Geocarto international, vol 18 n° 2 (June - August 2003)
[article]
Titre : Evaluation of airborne video data for land-cover classification accuracy assessment Type de document : Article/Communication Auteurs : I.T. Grierson, Auteur Année de publication : 2003 Article en page(s) : pp 27 - 35 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] Australie
[Termes IGN] classification dirigée
[Termes IGN] coût
[Termes IGN] image Landsat-ETM+
[Termes IGN] image vidéo
[Termes IGN] occupation du sol
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] précision de la classification
[Termes IGN] réalité de terrainRésumé : (Auteur) This research was designed to evaluate the operational utility of airborne video for classification accuracy assessment of satellite imagery. There are a number of logistical advantages in utilizing airborne video data particularly in remote or large catchment regions where ground accessibility can be prohibitively expensive. In a study of land cover characteristics in the Barossa Valley, South Australia comparisons of Landsat ETM+ classification accuracy assessments were derived from both airborne video and standard ground truthing point sampling techniques. The airborne video data was obtained by randomly frame grabbing 243 individual scenes along four predetermined flight lines and computing classification accuracies and error matrix statistics. These results were then compared with similar statistics derive ' dfirom 180 randomly chosen ground sampling sites. The costs involved in obtaining both sets of data per sampling point were also calculated. The results demonstrated that the airborne video data provided similar degrees of accuracy assessment at a cost of approximately one seventh that of the ground survey with the added advantages of increased data collection, overall improved site accessibility and the ability to continually store and review the data. The cost differentiation would become even more pronounced in more remote and inaccessible areas. In general the results of the unsupervised Landsat ETM+ classification were rather poor producing an overall general accuracy of 70% and a Kappa coefficient of 0.65, highlighting the classification difficulties encountered in using commercial satellite imagery for land cover assessments in an area with very heterogeneous fine grained land use patterns. Numéro de notice : A2003-222 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040308542270 Date de publication en ligne : 02/01/2008 En ligne : https://doi.org/10.1080/10106040308542270 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22517
in Geocarto international > vol 18 n° 2 (June - August 2003) . - pp 27 - 35[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-03021 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of spectral and shape features for identification of urban surface cover types using reflective and thermal hyperspectral data / Karl Segl in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)PermalinkExpert system house detection in high spatial resolution: Imagery using size, shape, and context / J.A. Tullis in Geocarto international, vol 18 n° 1 (March - May 2003)PermalinkRoof boundary extraction using multiple images / Ahmed F. Elaksher in Photogrammetric record, vol 18 n° 101 (March - May 2003)PermalinkThe potential of virtual reality technology for analysis of remotely sensed data: a Lidar case study / T. Warner in Geocarto international, vol 18 n° 1 (March - May 2003)PermalinkPermalinkSemantic processing of spatial data, GEOPRO 2003, Mexico, November 2003 / S. Levachkine (2003)PermalinkClassification of GIS-objects for change detection / Volker Walter in GIS Geo-Informations-Systeme, vol 2002 n° 12 (Dezember 2002)PermalinkScale and orientation-invariant scene similarity metrics for image queries / A. Stefanidis in International journal of geographical information science IJGIS, vol 16 n° 8 (december 2002)PermalinkThe utility of very high spatial resolution images to identify urban objects / Anne Puissant in Geocarto international, vol 17 n° 1 (March - May 2002)PermalinkDéveloppement et mise en application d'une interface de PIAO de la végétation du lit de la Loire et de l'Allier / S. Ancel (2002)PermalinkORASIS 2001, Congrès francophone de vision par ordinateur, Cahors, 5 - 8 juin 2001 / Institut de recherche en informatique de Toulouse (2001)PermalinkSAR images and ancillary data in crop species interpretation / Leena Matikainen (1998)PermalinkInterprétation d'images aériennes guidée par une base de données cartographiques / Ghislaine Bordes (1997)PermalinkApport des cartes topographiques pour l'analyse de scène en imagerie aérienne / Philippe Guérin in Revue internationale de géomatique, vol 6 n° 2-3 (juin – août 1996)PermalinkVers une interprétation automatique du réseau routier sur images aériennes : détection et analyse des carrefours / Renaud Ruskoné in Revue internationale de géomatique, vol 6 n° 2-3 (juin – août 1996)PermalinkPhotogrammétrie numérique et interprétation d'image : exemple d'un processus de saisie du réseau routier / Sylvain Airault in Bulletin du comité français de cartographie, n° 146 - 147 (mars - août 1996)PermalinkUtilisation d'un système d'information géographique pour l'interprétation automatique d'images aériennes / Ghislaine Bordes in Bulletin du comité français de cartographie, n° 146 - 147 (mars - août 1996)PermalinkComparaison de différentes configurations stéréoscopiques, des bandes spectrales à 5m et des modes de compression de données simulées de SPOT 5 pour la Cartographie / Jean-Paul Sempère in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 141 (Janvier 1996)PermalinkEuro-conférence Systèmes d'Information Géographique, Madrid (Spain), 18th to 20th September 1996 [dans le cadre du] Projet capital humain et mobilité / Union europeenne (1996)PermalinkPermalink