Centre de documentation
scientifique

Refining high spatial resolution remote sensing image segmentation for man-made objects through acollinear and ipsilateral neighborhood model / Min Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 5 (May 2015)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 5 (May 2015) . - pp 397 - 406 Titre : Refining high spatial resolution remote sensing image segmentation for man-made objects through acollinear and ipsilateral neighborhood model Type de document : Article/Communication Auteurs : Min Wang, Auteur ; Yanxia Sun, Auteur ; Guanyi Chen, Auteur Année de publication : 2015 Article en page(s) : pp 397 - 406 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse d'image orientée objet [Termes IGN] détail topographique artificiel [Termes IGN] détection d'objet [Termes IGN] planimétrie [Termes IGN] pouvoir de résolution géométrique [Termes IGN] segmentation d'image Résumé : (auteur) Man-made objects, such as buildings and roads, which are important targets for information extraction from high spatial resolution (HSR) remote sensing images, often feature straight boundaries. This study employs this knowledge on HSR image segmentation by embedding a straight-line constraint in regionbased image segmentation. A new concept called collinear and ipsilateral neighborhood is proposed and applied to hardboundary constraint-based image segmentation for accuracy improvement. In the experimental areas, the method accuracy measured by recall ratio r increases from 0.036 to 0.048 (on the average) after the refinement, with significantly smaller decreases in precision p that are all less than 0.006. In sum, the proposed technique effectively reduces over-segmentation errors and maintains the same level of under-segmentation error ratio, particularly in man-made areas. It facilitates subsequent objectbased image analyses, including feature extraction, object recognition, and classification. Numéro de notice : A2015-974 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : doi.org/10.14358/PERS.81.5.397 En ligne : https://doi.org/10.14358/PERS.81.5.397 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80044 [article]

Rapid mapping of high resolution SAR scenes / F. Dell'acqua in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 64 n° 5 (September - October 2009) . - pp 482 - 489 Titre : Rapid mapping of high resolution SAR scenes Type de document : Article/Communication Auteurs : F. Dell'acqua, Auteur ; Paolo Gamba, Auteur ; G. Lisini, Auteur Année de publication : 2009 Article en page(s) : pp 482 - 489 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] détail topographique artificiel [Termes IGN] détection automatique [Termes IGN] détection du bâti [Termes IGN] extraction du réseau routier [Termes IGN] extraction semi-automatique [Termes IGN] image radar moirée [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] reconnaissance de formes [Termes IGN] réseau routier [Termes IGN] traitement automatique de données Résumé : (Auteur) This paper describes a semi-automatic procedure for cartographic mapping using high resolution SAR and interferometric SAR data. Various two-dimensional features are extracted and combined in order to achieve a basic yet effective recognition of the elements in the scene. Many relevant elements of the landscape are automatically extracted without requiring any deep interaction with the operator. Being based on geometric models assuming regularity of shapes and patterns, the procedure is well suited for detecting man-made features, such as the road network (outside and inside human settlements) and built-up areas. It can be used, however, to extract natural features, focusing on different geometric models. Moreover, extracted elements of the scene can be grouped into higher level ones, such as crossroads, bridges and overpasses, through data fusion at the feature level, because the procedure is characterized by a multi-scale, object-based approach. Copyright ISPRS Numéro de notice : A2009-401 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.09.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.09.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30032 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-09051	SL	Revue	Centre de documentation	Revues en salle	Disponible

A region-based level set segmentation for automatic detection of man-made objects from aerial and satellite Images / K. Karatzalos in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 6 (June 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 6 (June 2009) . - pp 667 - 677 Titre : A region-based level set segmentation for automatic detection of man-made objects from aerial and satellite Images Type de document : Article/Communication Auteurs : K. Karatzalos, Auteur ; Demetre Argialas, Auteur Année de publication : 2009 Article en page(s) : pp 667 - 677 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] détail topographique artificiel [Termes IGN] détection du bâti [Termes IGN] extraction automatique [Termes IGN] image aérienne [Termes IGN] image satellite [Termes IGN] segmentation d'image [Termes IGN] traitement géométrique de données Résumé : (Auteur) A region-based level set segmentation was developed for the automatic detection of man-made objects from aerial and satellite images. The essence of the approach is to optimize the position and the geometric form of an evolving curve, by measuring information within the regions that compose a particular image partition based on their statistical description. The present region-based variational model is fully automated without the need to manually specify the position of the initial contour. Furthermore, it converges after a small number of iterations, allowing real-time applications. The developed algorithm was tested for the detection of roads, buildings and other man-made objects in a number of aerial and satellite images. The effectiveness of the algorithm is demonstrated by the experimental results and the performed qualitative and quantitative. Numéro de notice : A2009-259 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.6.667 En ligne : https://doi.org/10.14358/PERS.75.6.667 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29889 [article]

An assessment of geometric activity features for per-pixel classification of urban man-made objects using Very High Resolution satellite Imagery / J. Chan in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 4 (April 2009) . - pp 397 - 411 Titre : An assessment of geometric activity features for per-pixel classification of urban man-made objects using Very High Resolution satellite Imagery Type de document : Article/Communication Auteurs : J. Chan, Auteur ; R. Bellens, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 397 - 411 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] classification pixellaire [Termes IGN] détail topographique artificiel [Termes IGN] eCognition [Termes IGN] image à très haute résolution [Termes IGN] milieu urbain [Termes IGN] objet géographique urbain [Termes IGN] précision de la classification [Termes IGN] traitement géométrique de données Résumé : (Auteur) In this paper, we propose the use of Geometric Activity (GA) features for detecting man-made objects in urban areas using VHR satellite imagery. These features describe the geometric context of a pixel without the necessity of segmentation and can be integrated as extra bands in a per-pixel classification. Two main types of GA features were investigated: ridge features based on the well-known facet model and morphological features obtained by applying closing transforms with structuring elements of different size and shape. Our findings show a substantial increase in classification accuracy for the man-made object classes “roads and buildings with dark roof” after inclusion of GA features. Next to GA features, the use of object-based features derived from eCognition®, containing both geometric and textural information, was also investigated for per-pixel classification. Accuracies obtained with object-based features are comparable to the accuracies obtained with GA features. The inclusion of both GA features and object-based features further improves the overall accuracy. GA features and object-based features thus contain complementary information. Copyright ASPRS Numéro de notice : A2009-106 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.4.397 En ligne : https://doi.org/10.14358/PERS.75.4.397 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29736 [article]

Optimization in multi-scale segmentation of high-resolution satellite images for artificial feature recognition / Jing Tian in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 28 n°19-20 (October 2007) . - pp 4625 - 4644 Titre : Optimization in multi-scale segmentation of high-resolution satellite images for artificial feature recognition Type de document : Article/Communication Auteurs : Jing Tian, Auteur ; D.M. Chen, Auteur Année de publication : 2007 Article en page(s) : pp 4625 - 4644 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] bati [Termes IGN] détail topographique artificiel [Termes IGN] eCognition [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] image multibande [Termes IGN] Ontario (Canada) [Termes IGN] optimisation (mathématiques) [Termes IGN] segmentation multi-échelle Résumé : (Auteur) Multi-resolution segmentation, as one of the most popular approaches in object-oriented image segmentation, has been greatly enabled by the advent of the commercial software, eCognition. However, the application of multi-resolution segmentation still poses problems, especially in its operational aspects. This paper addresses the issue of optimization of the algorithm-associated parameters in multi-resolution segmentation. A framework starting with the definition of meaningful objects is proposed to find optimal segmentations for a given feature type. The proposed framework was tested to segment three exemplary artificial feature types (sports fields, roads, and residential buildings) in IKONOS multi-spectral images, based on a sampling scheme of all the parameters required by the algorithm. Results show that the feature-type-oriented segmentation evaluation provides an insight to the decision-making process in choosing appropriate parameters towards a high-quality segmentation. By adopting these feature-type-based optimal parameters, multi-resolution segmentation is able to produce objects of desired form to represent artificial features. Copyright Taylor & Francis Numéro de notice : A2007-450 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701241746 En ligne : https://doi.org/10.1080/01431160701241746 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28813 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-07111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Comparison of L- and X-band PolSAR data for characterization of polarization orientation angle shift induced by man-made structure / K. Iribe (2007) 

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Problèmes relatifs aux ombres d'objets élevés sur les photographies aériennes / Raymond d' Hollander in XYZ, n° 104 (septembre - novembre 2005)

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Extracting 3D free-form surface boundaries of man-made objects from multiple calibrated images : a robust, accurate and high resolving power edgel matching and chaining approach / Franck Jung (2003)    

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Généralisation et représentation multiple, ch. 11. Analyse des formes des routes / Xavier Barillot (2002)

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Unsupervised target detection in hyperspectral images using projection pursuit / S.S. Chiang in IEEE Transactions on geoscience and remote sensing, vol 39 n° 7 (July 2001)  

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Automatic extraction of man-made objects from aerial and space images (2) / Armin W. Gruen (1997)  

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Automatic extraction of man-made objects from aerial and space images / Armin W. Gruen (1995)  

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