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A review of ground-based SAR interferometry for deformation measurement / Oriol Monserrat in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 40 - 48 Titre : A review of ground-based SAR interferometry for deformation measurement Type de document : Article/Communication Auteurs : Oriol Monserrat, Auteur ; M. Crosetto, Auteur ; Guido Luzi, Auteur Année de publication : 2014 Article en page(s) : pp. 40 - 48 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] Déformation [Termes IGN] image radar [Termes IGN] interférométrie radar terrestre [Termes IGN] surveillance d'ouvrage [Termes IGN] surveillance géologique Résumé : (Auteur) This paper provides a review of ground-based SAR (GBSAR) interferometry for deformation measurement. In the first part of the paper the fundamentals of this technique are provided. Then the main data processing and analysis stages needed to estimate deformations starting from the GBSAR observations are described. This section introduces the two types of GBSAR acquisition modes, i.e., continuous and discontinuous GBSAR, and reviews the different GBSAR processing and analysis methods published in the literature. This is followed by a discussion of the specific technical aspects of GBSAR deformation measurement. A section then summarizes the pros and cons of GBSAR for deformation monitoring. The last part of the paper includes two reviews: one concerning the GBSAR systems described in the literature, including non-strictly SAR systems and a second one addresses the main GBSAR applications. Numéro de notice : A2014-327 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.04.001 Date de publication en ligne : 04/05/2014 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.04.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73674 [article]

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Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data / Kun Jia in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 49 - 55 Titre : Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data Type de document : Article/Communication Auteurs : Kun Jia, Auteur ; Shunlin Liang, Auteur ; Ning Zhang, Auteur ; Xiangqin Wei, Auteur ; Xingfa Gu, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp. 49 - 55 Langues : Anglais (eng) Descripteur : [Termes IGN] changement d'occupation du sol [Termes IGN] classification dirigée [Termes IGN] fusion de données [Termes IGN] image à basse résolution [Termes IGN] occupation du sol [Termes IGN] précision des données [Termes IGN] représentation du temps [Termes IGN] série temporelle Résumé : (Auteur) Land cover classification of finer resolution remote sensing data is always difficult to acquire high-frequency time series data which contains temporal features for improving classification accuracy. This paper proposed a method of land cover classification with finer resolution remote sensing data integrating temporal features extracted from time series coarser resolution data. The coarser resolution vegetation index data is first fused with finer resolution data to obtain time series finer resolution data. Temporal features are extracted from the fused data and added to improve classification accuracy. The result indicates that temporal features extracted from coarser resolution data have significant effect on improving classification accuracy of finer resolution data, especially for vegetation types. The overall classification accuracy is significantly improved approximately 4% from 90.4% to 94.6% and 89.0% to 93.7% for using Landsat 8 and Landsat 5 data, respectively. The user and producer accuracies for all land cover types have been improved. Numéro de notice : A2014-328 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.04.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.04.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73677 [article]

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Calibration of area based diameter distribution with individual tree based diameter estimates using airborne laser scanning / Qing Xu in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 65 - 75 Titre : Calibration of area based diameter distribution with individual tree based diameter estimates using airborne laser scanning Type de document : Article/Communication Auteurs : Qing Xu, Auteur ; Zhengyang Hou, Auteur ; Matti Maltamo, Auteur ; Timo Tokola, Auteur Année de publication : 2014 Article en page(s) : pp. 65 - 75 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse combinatoire (maths) [Termes IGN] arbre (flore) [Termes IGN] étalonnage des données [Termes IGN] forêt boréale [Termes IGN] télémétrie laser aéroporté [Termes IGN] tronc Résumé : (Auteur)Diameter distribution is essential for calculating stem volume and timber assortments of forest stands. A new method was proposed in this study to improve the estimation of stem volume and timber assortments, by means of combining the Area-based approach (ABA) and individual tree detection (ITD), the two main approaches to deriving forest attributes from airborne laser scanning (ALS) data. Two methods, replacement, and histogram matching were employed to calibrate ABA-derived diameter distributions with ITD-derived diameter estimates at plot level. The results showed that more accurate estimates were obtained when calibrations were applied. In view of the highest accuracy between ABA and ITD, calibrated diameter distributions decreased its relative RMSE of the estimated entire growing stock, saw log and pulpwood fractions by 2.81%, 3.05% and 7.73% points at best, respectively. Calibration improved pulpwood fraction significantly, which contributed to the negligible bias of the estimated entire growing stock. Numéro de notice : A2014-329 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.03.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.03.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73680 [article]

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Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing / Jaime Zabalza in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 112 - 122 Titre : Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing Type de document : Article/Communication Auteurs : Jaime Zabalza, Auteur ; Jinchang Ren, Auteur ; Mingqiang Yang, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp. 112 - 122 Langues : Anglais (eng) Descripteur : [Termes IGN] analyse en composantes principales [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] image hyperspectrale [Termes IGN] image radar [Termes IGN] matrice de covariance Résumé : As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral Imaging (HSI). Consequently, a novel Folded-PCA is proposed, where the spectral vector is folded into a matrix to allow the covariance matrix to be determined more efficiently. With this matrix-based representation, both global and local structures are extracted to provide additional information for data classification. Moreover, both the computational cost and the memory requirement have been significantly reduced. Using Support Vector Machine (SVM) for classification on two well-known HSI datasets and one Synthetic Aperture Radar (SAR) dataset in remote sensing, quantitative results are generated for objective evaluations. Comprehensive results have indicated that the proposed Folded-PCA approach not only outperforms the conventional PCA but also the baseline approach where the whole feature sets are used. Numéro de notice : A2014-330 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.04.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.04.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73697 [article]

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SAR change detection based on intensity and texture changes / Maoguo Gong in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 123 - 135 Titre : SAR change detection based on intensity and texture changes Type de document : Article/Communication Auteurs : Maoguo Gong, Auteur ; Yu Li, Auteur ; Licheng Jiao, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp. 123 - 135 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] graphe [Termes IGN] image radar moirée [Termes IGN] texture d'image Résumé : (Auteur)In this paper, a novel change detection approach is proposed for multitemporal synthetic aperture radar (SAR) images. The approach is based on two difference images, which are constructed through intensity and texture information, respectively. In the extraction of the texture differences, robust principal component analysis technique is used to separate irrelevant and noisy elements from Gabor responses. Then graph cuts are improved by a novel energy function based on multivariate generalized Gaussian model for more accurately fitting. The effectiveness of the proposed method is proved by the experiment results obtained on several real SAR images data sets. Numéro de notice : A2014-331 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.04.010 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.04.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73698 [article]

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Discontinuous GBSAR deformation monitoring / Michele Crosetto in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) Titre : Discontinuous GBSAR deformation monitoring Type de document : Article/Communication Auteurs : Michele Crosetto, Auteur ; Oriol Monserrat, Auteur ; Guido Luzi, Auteur ; et al., Auteur Année de publication : 2014 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] acquisition d'images [Termes IGN] analyse diachronique [Termes IGN] Déformation [Termes IGN] interférométrie radar terrestre [Termes IGN] surveillance d'ouvrage [Termes IGN] surveillance géologique Résumé : (Auteur)This paper is focused on deformation monitoring using the Ground-Based SAR (GBSAR) technique and a particular data acquisition configuration, which is called discontinuous GBSAR (D-GBSAR). In the most commonly used GBSAR configuration, the radar is left installed in situ, acquiring data periodically, e.g. every few minutes. Deformations are estimated by processing sets of GBSAR images acquired during several weeks or months, without moving the system. By contrast, in the D-GBSAR the radar is installed and dismounted at each measurement campaign, revisiting a given site periodically. This configuration is useful to monitor slow deformation phenomena. This paper outlines the D-GBSAR data analysis procedure implemented by the authors. This is followed by a discussion of some specific aspects of D-GBSAR monitoring. Two successful examples of D-GBSAR monitoring are discussed: one concerns an urban area, while the second one involves a rural area where the monitoring requires the use of artificial corner reflectors. Numéro de notice : A2014-332 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.04.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.04.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73699 [article]

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Ground and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces / Domen Mongus in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 145 - 156 Titre : Ground and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces Type de document : Article/Communication Auteurs : Domen Mongus, Auteur ; Niko Lukač, Auteur ; Borut Žalik, Auteur Année de publication : 2014 Article en page(s) : pp. 145 - 156 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] détection du bâti [Termes IGN] données lidar [Termes IGN] extraction automatique [Termes IGN] point d'appui Numéro de notice : A2014-333 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.12.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73700 [article]

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Context-based automatic reconstruction and texturing of 3D urban terrain for quick-response tasks / Dimitri Bolatov in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 157 - 170 Titre : Context-based automatic reconstruction and texturing of 3D urban terrain for quick-response tasks Type de document : Article/Communication Auteurs : Dimitri Bolatov, Auteur ; Gisela Häufel, Auteur ; Jochen Meidow, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp. 157 - 170 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] détail topographique [Termes IGN] reconstruction 3D [Termes IGN] reconstruction 3D du bâti [Termes IGN] surface (géométrie) [Termes IGN] texturage Résumé : (Auteur) Highly detailed 3D urban terrain models are the base for quick response tasks with indispensable human participation, e.g., disaster management. Thus, it is important to automate and accelerate the process of urban terrain modeling from sensor data such that the resulting 3D model is semantic, compact, recognizable, and easily usable for training and simulation purposes. To provide essential geometric attributes, buildings and trees must be identified among elevated objects in digital surface models. After building ground-plan estimation and roof details analysis, images from oblique airborne imagery are used to cover building faces with up-to-date texture thus achieving a better recognizability of the model. The three steps of the texturing procedure are sensor pose estimation, assessment of polygons projected into the images, and texture synthesis. Free geographic data, providing additional information about streets, forest areas, and other topographic object types, suppress false alarms and enrich the reconstruction results. Numéro de notice : A2014-334 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.02.016 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.02.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73701 [article]

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Automatic representation and reconstruction of DBM from LiDAR data using Recursive Minimum Bounding Rectangle / Eunju Kwak in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 171 - 191 Titre : Automatic representation and reconstruction of DBM from LiDAR data using Recursive Minimum Bounding Rectangle Type de document : Article/Communication Auteurs : Eunju Kwak, Auteur ; Ayman Habib, Auteur Année de publication : 2014 Article en page(s) : pp. 171 - 191 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] données lidar [Termes IGN] rectangle englobant minimum [Termes IGN] représentation par frontière surfacique Résumé : (Auteur)Three-dimensional building models are important for various applications, such as disaster management and urban planning. The development of laser scanning sensor technologies has resulted in many different approaches for efficient building model generation using LiDAR data. Despite this effort, generation of these models lacks economical and reliable techniques that fully exploit the advantage of LiDAR data. Therefore, this research aims to develop a framework for fully-automated building model generation by integrating data-driven and model-driven methods using LiDAR datasets. The building model generation starts by employing LiDAR data for building detection and approximate boundary determination. The generated building boundaries are then integrated into a model-based processing strategy because LiDAR derived planes show irregular boundaries due to the nature of LiDAR point acquisition. The focus of the research is generating models for the buildings with right-angled-corners, which can be described with a collection of rectangles under the assumption that the majority of the buildings in urban areas belong to this category. Therefore, by applying the Minimum Bounding Rectangle (MBR) algorithm recursively, the LiDAR boundaries are decomposed into sets of rectangles for further processing. At the same time, the quality of the MBRs is examined to verify that the buildings, from which the boundaries are generated, are buildings with right-angled-corners. The parameters that define the model primitives are adjusted through a model-based boundary fitting procedure using LiDAR boundaries. The level of details in the final Digital Building Model is based on the number of recursions during the MBR processing, which in turn are determined by the LiDAR point density. The model-based boundary fitting improves the quality of the generated boundaries and as seen in experimental results, the quality depends on the average LiDAR point spacing. This research thus develops an approach which not only automates the building model generation, but also achieves the best accuracy of the model while utilizing only LiDAR data. Numéro de notice : A2014-335 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.10.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.10.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73702 [article]

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A graph edit dictionary for correcting errors in roof topology graphs reconstructed from point clouds / B. Xiong in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 227 - 242 Titre : A graph edit dictionary for correcting errors in roof topology graphs reconstructed from point clouds Type de document : Article/Communication Auteurs : B. Xiong, Auteur ; Sander J. Oude Elberink, Auteur ; M. George Vosselman, Auteur Année de publication : 2014 Article en page(s) : pp. 227 - 242 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] bibliothèque de formes [Termes IGN] graphe topologique [Termes IGN] reconstruction 3D du bâti [Termes IGN] semis de points [Termes IGN] télémétrie laser aéroporté [Termes IGN] toit Résumé : (Auteur)In the task of 3D building model reconstruction from point clouds we face the problem of recovering a roof topology graph in the presence of noise, small roof faces and low point densities. Errors in roof topology graphs will seriously affect the final modelling results. The aim of this research is to automatically correct these errors. We define the graph correction as a graph-to-graph problem, similar to the spelling correction problem (also called the string-to-string problem). The graph correction is more complex than string correction, as the graphs are 2D while strings are only 1D. We design a strategy based on a dictionary of graph edit operations to automatically identify and correct the errors in the input graph. For each type of error the graph edit dictionary stores a representative erroneous subgraph as well as the corrected version. As an erroneous roof topology graph may contain several errors, a heuristic search is applied to find the optimum sequence of graph edits to correct the errors one by one. The graph edit dictionary can be expanded to include entries needed to cope with errors that were previously not encountered. Experiments show that the dictionary with only fifteen entries already properly corrects one quarter of erroneous graphs in about 4500 buildings, and even half of the erroneous graphs in one test area, achieving as high as a 95% acceptance rate of the reconstructed models. Numéro de notice : A2014-336 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.01.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.01.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73704 [article]

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Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning / Andrès Serna in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp . 243 - 255 Titre : Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning Type de document : Article/Communication Auteurs : Andrès Serna, Auteur ; Beatriz Marcotegui, Auteur Année de publication : 2014 Article en page(s) : pp . 243 - 255 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] classification automatique d'objets [Termes IGN] détection du bâti [Termes IGN] reconstruction 3D [Termes IGN] segmentation d'image [Termes IGN] semis de points Résumé : (Auteur)We propose an automatic and robust approach to detect, segment and classify urban objects from 3D point clouds. Processing is carried out using elevation images and the result is reprojected onto the 3D point cloud. First, the ground is segmented and objects are detected as discontinuities on the ground. Then, connected objects are segmented using a watershed approach. Finally, objects are classified using SVM with geometrical and contextual features. Our methodology is evaluated on databases from Ohio (USA) and Paris (France). In the former, our method detects 98% of the objects, 78% of them are correctly segmented and 82% of the well-segmented objects are correctly classified. In the latter, our method leads to an improvement of about 15% on the classification step with respect to previous works. Quantitative results prove that our method not only provides a good performance but is also faster than other works reported in the literature. Numéro de notice : A2014-337 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.03.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.03.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73705 [article]

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