Centre de documentation
scientifique

Bi- and three-dimensional urban change detection using sentinel-1 SAR temporal series / Meiqin Che in Geoinformatica, vol 25 n° 4 (October 2021)  

Public [article]  inGeoinformatica > vol 25 n° 4 (October 2021) . - pp 759 - 773 Titre : Bi- and three-dimensional urban change detection using sentinel-1 SAR temporal series Type de document : Article/Communication Auteurs : Meiqin Che, Auteur ; Paolo Gamba, Auteur Année de publication : 2021 Article en page(s) : pp 759 - 773 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse spatio-temporelle [Termes IGN] banlieue [Termes IGN] centre-ville [Termes IGN] Chine [Termes IGN] détection de changement [Termes IGN] image Sentinel-SAR [Termes IGN] série temporelle [Termes IGN] zone urbaine Résumé : (auteur) Urban areas are subject to multiple and very different changes, in a two- and three-dimensional sense, mostly as a consequence of human activities, such as urbanization, but also because of catastrophic and sudden events, such as earthquakes, landslides, or floods. This paper aims at designing a procedure able to cope with both types of changes by combining interferometric coherence and backscatter amplitude, and provide a semantically meaningful analysis of the changes detected in both city inner cores and suburban areas. Specifically, this paper focuses on detecting multi-dimensional changes in urban areas using a stack of repeat-pass SAR data sets from Sentinel-1A/B satellites. The proposed procedure jointly exploits amplitude and coherence time series to perform this task. SAR amplitude is used to extract changes about the urban extents, i.e. in 2D, while interferometric coherence is sensitive to the presence of buildings and to their size, i. e. to 3D changes. The proposed algorithm is tested using a time-series of two years of Sentinel-1 data, from May 2016 to October 2018, and in two different Chinese cities, Changsha and Hangzhou, with the aim to understand both the temporal evolution of the urban extents, and the changes within what is constantly classified as “urban” throughout the considered time period. Numéro de notice : A2021-966 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-020-00398-8 Date de publication en ligne : 22/02/2020 En ligne : https://doi.org/10.1007/s10707-020-00398-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100389 [article]

A novel preunmixing framework for efficient detection of linear mixtures in hyperspectral images / Andrea Marinoni in IEEE Transactions on geoscience and remote sensing, vol 55 n° 8 (August 2017)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 55 n° 8 (August 2017) . - pp 4325 - 4333 Titre : A novel preunmixing framework for efficient detection of linear mixtures in hyperspectral images Type de document : Article/Communication Auteurs : Andrea Marinoni, Auteur ; Antonio J. Plaza, Auteur ; Paolo Gamba, Auteur Année de publication : 2017 Article en page(s) : pp 4325 - 4333 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse des mélanges spectraux [Termes IGN] attribut géomètrique [Termes IGN] classification pixellaire [Termes IGN] combinaison linéaire [Termes IGN] image hyperspectrale [Termes IGN] optimisation (mathématiques) Résumé : (Auteur) In order to provide reliable information about the instantaneous field of view considered in hyperspectral images through spectral unmixing, understanding the kind of mixture that occurs over each pixel plays a crucial role. In this paper, in order to detect nonlinear mixtures, a method for fast identification of linear mixtures is introduced. The proposed method does not need statistical information and performs an a priori test on the spectral linearity of each pixel. It uses standard least squares optimization to achieve estimates of the likelihood of occurrence of linear combinations of endmembers by taking advantage of the geometrical properties of hyperspectral signatures. Experimental results on both real and synthetic data sets show that the aforesaid algorithm is actually able to deliver a reliable and thorough assessment of the kind of mixtures present in the pixels of the scene. Numéro de notice : A2017-494 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2017.2691319 En ligne : http://dx.doi.org/10.1109/TGRS.2017.2691319 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86424 [article]

Complementarity of discriminative classifiers and spectral unmixing techniques for the interpretation of hyperspectral images / Jun Li in IEEE Transactions on geoscience and remote sensing, vol 53 n° 5 (mai 2015)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 53 n° 5 (mai 2015) . - pp 2899 - 2912 Titre : Complementarity of discriminative classifiers and spectral unmixing techniques for the interpretation of hyperspectral images Type de document : Article/Communication Auteurs : Jun Li, Auteur ; Immaculada Dopido, Auteur ; Paolo Gamba, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 2899 - 2912 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse discriminante [Termes IGN] analyse linéaire des mélanges spectraux [Termes IGN] apprentissage semi-dirigé [Termes IGN] classification dirigée [Termes IGN] image hyperspectrale Résumé : (Auteur) Classification and spectral unmixing are two important techniques for hyperspectral data exploitation. Traditionally, these techniques have been exploited independently. In this paper, we propose a new technique that exploits their complementarity. Specifically, we develop a new framework for semisupervised hyperspectral image classification that naturally integrates the information provided by discriminative classification and spectral unmixing. The idea is to assign more confidence to the information provided by discriminative classification for those pixels that can be easily catalogued due to their spectral purity. For those pixels that are more highly mixed in nature, we assign more confidence to the information provided by spectral unmixing. In this case, we use a traditional spectral unmixing chain to produce the abundance fractions of the pure signatures (endmembers) that model the mixture information at a subpixel level. The decision on which source of information is prioritized in the process is taken adaptively, when new unlabeled samples are selected and included in our semisupervised framework. In this regard, the proposed approach can adaptively integrate these two sources of information without the need to establish any weight parameters, thus exploiting the complementarity of classification and unmixing and selecting the most appropriate source of information in each case. In order to test our concept, which has similar computational complexity as traditional semisupervised classification strategies, we have used two different hyperspectral data sets with different characteristics and spatial resolution. In our experiments, we consider two different discriminative classifiers: multinomial logistic regression and probabilistic support vector machine. The obtained results indicate that the proposed approach, which jointly exploits the features provided by classification and spectral unmixing in adaptive fashion, offers an effective solution to improve- classification performance in hyperspectral scenes containing mixed pixels. Numéro de notice : A2015-521 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2366513 En ligne : https://doi.org/10.1109/TGRS.2014.2366513 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77532 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2015051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Geographic information system (GIS)-aided per-segment scene analysis of multi-temporal spaceborne synthetic aperture radar (SAR) series with application to urban areas / G. Trianni in International Journal of Remote Sensing IJRS, vol 31 n° 22 (November 2010)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 31 n° 22 (November 2010) . - pp 6005 - 6014 Titre : Geographic information system (GIS)-aided per-segment scene analysis of multi-temporal spaceborne synthetic aperture radar (SAR) series with application to urban areas Type de document : Article/Communication Auteurs : G. Trianni, Auteur ; F. Dell'acqua, Auteur ; Paolo Gamba, Auteur Année de publication : 2010 Article en page(s) : pp 6005 - 6014 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] analyse diachronique [Termes IGN] détection de changement [Termes IGN] image radar moirée [Termes IGN] image satellite [Termes IGN] logiciel SIG [Termes IGN] occupation du sol [Termes IGN] segmentation d'image [Termes IGN] urbanisation [Termes IGN] utilisation du sol [Termes IGN] zone rurale [Termes IGN] zone urbaine Résumé : (Auteur) It is well known that multi-temporal series of synthetic aperture radar (SAR) data are able to provide interesting clues about temporal evolution of some land covers. In this work, a per-segment approach based on the use of ancillary geographic information system data is proposed. The results of a test case show the effectiveness of the technique and its usefulness for quickly detecting changes from rural to urban land uses and discriminating to some extent different urban dynamics. Numéro de notice : A2010-536 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161.2010.512304 En ligne : https://doi.org/10.1080/01431161.2010.512304 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30728 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-2010141	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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

Improving building footprints in InSAR data comparison with a Lidar DSM / Paolo Gamba in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 1 (January 2006)  

Permalink

Multitemporal/multiband SAR classification of urban areas using spatial analysis: statistical versus neural kernel-based approach / T. Macri Pellizzei in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)  

Permalink

Improvements to urban area characterization using multitemporal and multiangle SAR images / F. Dell'acqua in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)  

Permalink

vol 58 n° 1-2 - June - December 2003 - Algorithms and techniques for multi-source data fusion in urban areas (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Paolo Gamba  

Permalink

Detection of urban structures in SAR images by robust fuzzy clustering algorithms: the example of street tracking / F. Dell'acqua in IEEE Transactions on geoscience and remote sensing, vol 39 n° 10 (October 2001)  

Permalink