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Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating / Leena Matikainen in ISPRS Journal of photogrammetry and remote sensing, vol 128 (June 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 128 (June 2017) . - pp 298 - 313 Titre : Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating Type de document : Article/Communication Auteurs : Leena Matikainen, Auteur ; Kirsi Karila, Auteur ; Juha Hyyppä, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 298 - 313 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse d'image orientée objet [Termes IGN] classification dirigée [Termes IGN] image 3D [Termes IGN] image multibande [Termes IGN] instrumentation Optech [Termes IGN] mise à jour cartographique [Termes IGN] occupation du sol [Termes IGN] semis de points [Termes IGN] télémétrie laser aéroporté Résumé : (Auteur) During the last 20 years, airborne laser scanning (ALS), often combined with passive multispectral information from aerial images, has shown its high feasibility for automated mapping processes. The main benefits have been achieved in the mapping of elevated objects such as buildings and trees. Recently, the first multispectral airborne laser scanners have been launched, and active multispectral information is for the first time available for 3D ALS point clouds from a single sensor. This article discusses the potential of this new technology in map updating, especially in automated object-based land cover classification and change detection in a suburban area. For our study, Optech Titan multispectral ALS data over a suburban area in Finland were acquired. Results from an object-based random forests analysis suggest that the multispectral ALS data are very useful for land cover classification, considering both elevated classes and ground-level classes. The overall accuracy of the land cover classification results with six classes was 96% compared with validation points. The classes under study included building, tree, asphalt, gravel, rocky area and low vegetation. Compared to classification of single-channel data, the main improvements were achieved for ground-level classes. According to feature importance analyses, multispectral intensity features based on several channels were more useful than those based on one channel. Automatic change detection for buildings and roads was also demonstrated by utilising the new multispectral ALS data in combination with old map vectors. In change detection of buildings, an old digital surface model (DSM) based on single-channel ALS data was also used. Overall, our analyses suggest that the new data have high potential for further increasing the automation level in mapping. Unlike passive aerial imaging commonly used in mapping, the multispectral ALS technology is independent of external illumination conditions, and there are no shadows on intensity images produced from the data. These are significant advantages in developing automated classification and change detection procedures. Numéro de notice : A2017-336 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.04.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.04.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85499 [article]

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081-2017062	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Next generation mobile Laser mapping technology / A. Denniss in Geoinformatics, vol 11 n° 6 (01/09/2008)

Public [article]  inGeoinformatics > vol 11 n° 6 (01/09/2008) . - pp 46 - 47 Titre : Next generation mobile Laser mapping technology Type de document : Article/Communication Auteurs : A. Denniss, Auteur Année de publication : 2008 Article en page(s) : pp 46 - 47 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] extraction de données [Termes IGN] instrumentation Optech [Termes IGN] lever mobile [Termes IGN] lidar topographique [Termes IGN] système de numérisation mobile [Termes IGN] visualisation 3D Résumé : (Auteur) With the arrival of Optech's new Lynx Mobile mapper technology, Infoterra quickly realised that here was a technology that could really help unlock the potential of mobile laser mapping and could be operated from a moving vehicle.Their new complete mobile laser mapping solution, called Rapid Surveyor, integrates lidar scanning, camera, data extraction and processing toolkits, and mobile deployement using a Nissan Pathfinder 4x4 vehicle. The collected data that can be used to built an immersive 3D environment, among others. Copyright GEOinformatics Numéro de notice : A2008-344 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29337 [article]

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Performance analysis of ALTM 3100EA: instrument specifications and accuracy of Lidar data / R.V. Ussyshkin in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)  

Public [article]  inRevue Française de Photogrammétrie et de Télédétection > n° 182 (Juin 2006) . - pp 66 - 72 Titre : Performance analysis of ALTM 3100EA: instrument specifications and accuracy of Lidar data Type de document : Article/Communication Auteurs : R.V. Ussyshkin, Auteur ; B. Smith, Auteur Année de publication : 2006 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 66 - 72 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] ALTM [Termes IGN] capteur aérien [Termes IGN] données lidar [Termes IGN] instrumentation Optech [Termes IGN] précision des données [Termes IGN] précision des mesures [Termes IGN] spécification de produit [Termes IGN] test de performance Résumé : (Auteur) Over the last decade the number of airborne lidar systems currently deployed and operating in the field has grown impressively. This growth has intensified the level of competition among lidar equipment manufacturers. As manufacturers vie for increased market share with claims of ever higher accuracy specifications, lidar end users wonder how these specifications actually affect achievable accuracy of the lidar data. Aware of the interest that professional organizations such as ISPRS/ASPRS have shown in establishing quality control guidelines for reporting accuracy in lidar data, Optech Incorporated, a leading manufacturer of airborne lidar equipment, conducted a series of studies that examined issues that included, among others, vertical accuracy and Position and Orientation System (POS) performance. Since accuracy specifications can be the product of different testing methodologies and subject to the interpretation of data, the final arbiter of competing claims is actual system performance. The studies that Optech carried out included performance analyses of the ALTM 31OOEA laser mapping system. This instrument demonstrated that it is capable of producing mapping data with relative accuracies on the sub-decimeter level. However, the limiting factors in obtaining overall absolute sub-decimeter accuracies are often due to the performance of various subsystems that contribute to the total ALTM error budget. This paper represents the manufacturer's effort to relate the engineering analysis of instrument performance to what is demonstrably achievable accuracy in the lidar data of end users. Copyright SFPT Numéro de notice : A2006-623 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/PS2-28.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28346 [article]

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