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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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Object-based interpretation methods for mapping built-up areas / Leena Matikainen (2012) 

Public Titre : Object-based interpretation methods for mapping built-up areas Type de document : Thèse/HDR Auteurs : Leena Matikainen, Auteur Editeur : Helsinki : Finnish Geodetic Institute FGI Année de publication : 2012 Collection : Publications of the Finnish Geodetic Institute, ISSN 0085-6932 num. 147 Importance : 83 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-951-711-293-2 Note générale : Bibliographie Doctoral dissertation for the degree of Doctor of Science in Technology Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse d'image orientée objet [Termes IGN] bâtiment [Termes IGN] détection de changement [Termes IGN] détection du bâti [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] image aérienne [Termes IGN] image radar moirée [Termes IGN] impulsion laser [Termes IGN] occupation du sol [Termes IGN] segmentation d'image [Termes IGN] zone urbaine Index. décimale : 30.60 Géodésie spatiale Résumé : (Auteur) There is a growing demand for high-quality spatial data and for efficient methods of updating spatial databases. In the present study, automated object-based interpretation methods were developed and tested for coarse land use mapping, detailed land cover and building mapping, and change detection of buildings. Various modern remotely sensed datasets were used in the study. An automatic classification tree method was applied to building detection and land cover classification to automate the development of classification rules. A combination of a permanent land cover classification test field and the classification tree method was suggested and tested to allow rapid analysis and comparison of new datasets. The classification and change detection results were compared with up-to-date map data or reference points to evaluate their quality. The combined use of airborne laser scanner data and digital aerial imagery gave promising results considering topographic mapping. In automated building detection using laser scanner and aerial image data, 96% of all buildings larger than 60 m2 were correctly detected. This accuracy level (96%) is compatible with operational quality requirements. In automated change detection, about 80% of all reference buildings were correctly classified. The overall accuracy of a land cover classification into buildings, trees, vegetated ground and non-vegetated ground using laser scanner and aerial image data was 97% compared with reference points. When aerial image data alone were used, the accuracy was 74%. A comparison between first pulse and last pulse laser scanner data in building detection was also carried out. The comparison showed that the use of last pulse data instead of first pulse data can improve the building detection results. The results yielded by automated interpretation methods could be helpful in the manual updating process of a topographic database. The results could also be used as the basis for further automated processing steps to delineate and reconstruct objects. The synthetic aperture radar (SAR) and optical satellite image data used in the study have their main potential in land cover monitoring applications. The coarse land use classification of a multitemporal interferometric SAR dataset into built-up areas, forests and open areas lead to an overall accuracy of 97% when compared with reference points. This dataset also appeared to be promising for classifying built-up areas into subclasses according to building density. Important topics for further research include more advanced interpretation methods, new and multitemporal datasets, optimal combinations of the datasets, and wider sets of objects and classes. From the practical point of view, work is needed in fitting automated interpretation methods in operational mapping processes and in further testing of the methods. Note de contenu : 1. INTRODUCTION 1.1 Background and motivation 1.2 Hypothesis 1.3 Objectives of the study 1.4 Structure and contribution of the study 2. LITERATURE REVIEW 2.1 General 2.2 Object-based image analysis 2.3 Classification trees 2.4 Mapping built-up areas using coherence and intensity from interferometric SAR images 2.5 Mapping buildings and land cover using laser scanner and aerial image data 2.5.1 Building detection 2.5.2 Land cover classification 2.6 Change detection of buildings using laser scanner and aerial image data 3. MATERIALS AND METHODS 3.1 Study areas and materials 3.2 Methods 3.2.1 Method development for mapping built-up areas 3.2.2 Quality evaluation 4. RESULTS 4.1 Mapping built-up areas using a multitemporal interferometric SAR dataset 4.1.1 Land use classification 4.1.2 Further analysis of built-up areas 4.2 Building detection using laser scanner and aerial image data 4.3 Change detection of buildings 4.4 Land cover mapping using classification trees, test field points, and various input datasets 5. DISCUSSION 5.1 Methods developed for mapping built-up areas 5.2 Quality of the results 5.3 Feasibility of the methods for practical mapping applications 5.4 Other studies and developments 5.5 Further research 6. SUMMARY AND CONCLUSIONS Numéro de notice : 14649 Affiliation des auteurs : non IGN Autre URL associée : URL page Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : Doctoral thesis : Technology : Aalto University : 2012 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62677

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Documents numériques

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A test of automatic building change detection approaches / Nicolas Champion (2009)  

Public contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)   Titre : A test of automatic building change detection approaches Type de document : Article/Communication Auteurs : Nicolas Champion , Auteur ; Franz Rottensteiner, Auteur ; Leena Matikainen, Auteur ; B.P. Olsen, Auteur ; et al., Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 145 - 150 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] bati [Termes IGN] classification automatique [Termes IGN] détection de changement [Termes IGN] test de performance Résumé : (Auteur) The update of databases - in particular 2D building databases - has become a topical issue, especially in the developed countries where such databases have been completed during the last decade. The main issue here concerns the long and costly change detection step, which might be automated by using recently acquired sensor data. The current deficits in automation and the lack of expertise in the domain have driven the EuroSDR to launch a test comparing different change detection approaches, representative of the current state-of-the-art. The main goal of this paper is to present the test bed of this comparison and the results that have been obtained for three different contexts (aerial imagery, satellite imagery, and LIDAR). In addition, we give the overall findings that emerged from our experiences and some promising directions to follow for building an optimal operative system in the future. Numéro de notice : C2009-011 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_145.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65051

A test of 2D building change detection methods : comparison, evaluation and perspectives / Nicolas Champion (2008)  

Public Titre : A test of 2D building change detection methods : comparison, evaluation and perspectives Type de document : Article/Communication Auteurs : Nicolas Champion , Auteur ; Leena Matikainen, Auteur ; Franz Rottensteiner, Auteur ; X. Liang, Auteur ; Juha Hyyppä, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2008 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 37-B4 Conférence : ISPRS 2008, 21st ISPRS world congress 03/07/2008 11/07/2008 Pékin Chine OA ISPRS Archives Importance : pp 297 - 304 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] bati [Termes IGN] détection de changement [Termes IGN] données localisées 2D [Termes IGN] image numérique [Termes IGN] mesure de la qualité Résumé : (Auteur) In the past few years, 2D topographic databases have been completed in most industrialised countries. Most efforts in National Mapping and Cadastral Agencies (NMCAs) are now devoted to the update of such databases. Because it is generally carried out manually, by visual inspection of orthophotos, the updating process is time-consuming and expensive. The development of semiautomatic systems is thus of high interest for NMCAs. The obvious lack of expertise in the domain has driven EuroSDR to set up a test comparing different change detection approaches. In this paper, we limit the scope of the project to the imagery context. After describing input data, we shortly introduce the approaches of the working groups that have already submitted results. Preliminary results are assessed and a discussion enables to bring out first conclusions and directions. Numéro de notice : C2008-027 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVII/congress/4_pdf/53.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64214

Mapping built-up areas from multitemporal interferometric SAR images: a segment-based approach / Leena Matikainen in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 6 (June 2006)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 6 (June 2006) . - pp 701 - 714 Titre : Mapping built-up areas from multitemporal interferometric SAR images: a segment-based approach Type de document : Article/Communication Auteurs : Leena Matikainen, Auteur ; M.E. Engdahl, Auteur ; Juha Hyyppä, Auteur Année de publication : 2006 Article en page(s) : pp 701 - 714 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] cartographie automatique [Termes IGN] classification dirigée [Termes IGN] densité du bâti [Termes IGN] image ERS-SAR [Termes IGN] image radar moirée [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] interprétation automatique [Termes IGN] milieu urbain [Termes IGN] segmentation d'image [Termes IGN] utilisation du sol Résumé : (Auteur) Automatic mapping of built-up areas from a multitemporal interferometric ERS-1/2 Tandem dataset was studied. The image data were segmented into homogeneous regions, and the regions were classified as built-up areas, forests, and open areas using their mean intensity and coherence values and additional contextual information. Compared with a set of reference points, an overall classification accuracy of 97 percent was achieved. The classification process was highly automatic and resulted in homogeneous regions resembling a map drawn by a human interpreter. The feasibility of the imagery for dividing built-up areas further into subclasses was also investigated. The results suggest that low-rise areas, high-rise areas, and industrial areas are difficult to distinguish from each other. On the other hand, a correlation between the building density, the proportion of land covered with buildings, and intensity/coherence in the image data was found. The dataset thus appeared to be promising for classifying built-up areas into subclasses according to building density. Copyright ASPRS Numéro de notice : A2006-233 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.6.701 En ligne : https://doi.org/10.14358/PERS.72.6.701 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27960 [article]

Accuracy of 3D city models: EuroSDR comparison / Harri Kaartinen (2005)  

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EuroSDR building extraction comparaison / Harri Kaartinen (2005)  

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SAR images and ancillary data in crop species interpretation / Leena Matikainen (1998)

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Updating topographic maps by using multisource data and knowledge-based interpretation / Leena Matikainen (1997)

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