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Automatic fuzzy clustering using modified differential evolution for image classification / U. Maulik in IEEE Transactions on geoscience and remote sensing, vol 48 n° 9 (September 2010)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 48 n° 9 (September 2010) . - pp 3503 - 3510 Titre : Automatic fuzzy clustering using modified differential evolution for image classification Type de document : Article/Communication Auteurs : U. Maulik, Auteur ; I. Saha, Auteur Année de publication : 2010 Article en page(s) : pp 3503 - 3510 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] algorithme génétique [Termes IGN] classification floue [Termes IGN] classification non dirigée [Termes IGN] identification automatique [Termes IGN] image satellite [Termes IGN] occupation du sol [Termes IGN] regroupement de données Résumé : (Auteur) The problem of classifying an image into different homogeneous regions is viewed as the task of clustering the pixels in the intensity space. In particular, satellite images contain landcover types, some of which cover significantly large areas while some (e.g., bridges and roads) occupy relatively much smaller regions. Automatically detecting regions or clusters of such widely varying sizes is a challenging task. In this paper, a new real-coded modified differential evolution based automatic fuzzy clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. Here, the assignment of points to different clusters is done based on a Xie-Beni index where the Euclidean distance is taken into consideration. The effectiveness of the proposed technique is first demonstrated for two numeric remote sensing data described in terms of feature vectors and then in identifying different landcover regions in remote sensing imagery. The superiority of the new method is demonstrated by comparing it with other existing techniques like automatic clustering using improved differential evolution, classical differential evolution based automatic fuzzy clustering, variable length genetic algorithm based fuzzy clustering, and well known fuzzy C-means algorithm both qualitatively and quantitatively. Numéro de notice : A2010-571 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2047020 En ligne : https://ieeexplore.ieee.org/document/5462924 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30762 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2010091	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Using aerial imagery and GIS in automated building footprint extraction and shape recognition for earthquake risk assessment of urban inventories / L. Sahar in IEEE Transactions on geoscience and remote sensing, vol 48 n° 9 (September 2010)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 48 n° 9 (September 2010) . - pp 3511 - 3520 Titre : Using aerial imagery and GIS in automated building footprint extraction and shape recognition for earthquake risk assessment of urban inventories Type de document : Article/Communication Auteurs : L. Sahar, Auteur ; S. Muthukumar, Auteur ; S. French, Auteur Année de publication : 2010 Article en page(s) : pp 3511 - 3520 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] extraction automatique [Termes IGN] image aérienne [Termes IGN] reconnaissance de formes [Termes IGN] reconstruction 2D du bâti [Termes IGN] risque naturel [Termes IGN] séisme [Termes IGN] système d'information géographique [Termes IGN] traitement automatique de données Résumé : (Auteur) Earthquakes cause massive loss of property and lives, and mitigating their potential effects requires accurate modeling and simulation of their impacts. Earthquake building damage modeling and risk assessment applications require accurate accounts of inventories at risk and their attributes such as structure type, usage, size, number of stories, shape, year built, value, etc. This paper describes the development of algorithms for automatically extracting and recognizing 2-D building shape information using integrated aerial imagery processing and Geographic Information Systems data. We use vector parcel geometries and their attributes to simplify the building extraction task by limiting the processing geography. Extraction is significantly improved by innovatively weighting the histograms. Extracted buildings are cleaned, simplified, and run through 2-D shape recognition routines that classify the footprint. We discuss reasons for successes and failures in both extraction and recognition. Numéro de notice : A2010-572 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2047260 En ligne : https://doi.org/10.1109/TGRS.2010.2047260 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30763 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2010091	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Spectroscopic calibration correlation of field and lab-sized fluorescence LIDAR systems / B. Déry in IEEE Transactions on geoscience and remote sensing, vol 48 n° 9 (September 2010)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 48 n° 9 (September 2010) . - pp 3580 - 3586 Titre : Spectroscopic calibration correlation of field and lab-sized fluorescence LIDAR systems Type de document : Article/Communication Auteurs : B. Déry, Auteur ; S. Buteau, Auteur ; J.P. Simard, Auteur ; R. Vallée, Auteur Année de publication : 2010 Article en page(s) : pp 3580 - 3586 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] aérosol [Termes IGN] étalonnage radiométrique [Termes IGN] fluorescence [Termes IGN] Lidar [Termes IGN] réponse spectrale [Termes IGN] signature spectrale Résumé : (Auteur) A method has been developed to correlate spectral signatures obtained with various fluorescence LIght Detection And Ranging (LIDAR) systems. A calibrated fluorescence reference target was used to calibrate the spectral response of the LIDAR transmitter channels and obtain their transfer functions. Two LIDAR systems have been spectrally characterized, and corrected signatures for two bioaerosols are presented. The first LIDAR system is the Standoff Integrated Bioserosol Active Hyperspectral Detection field LIDAR developed by Defence R&D Canada. This standoff system uses a 351-nm pulsed laser in a monoaxial design. The second system is a lab-sized aerosol chamber designed to characterize fluorescent aerosols under controlled environmental conditions. The chamber was designed according to classical short-range biaxial LIDAR principles, with the purpose of duplicating the results obtained with field LIDAR systems. Aerosols generated within the chamber are probed by a 355-nm pulsed laser, and autofluorescence spectra are measured with a spectrometer and an intensified charge-coupled device camera. This chamber is used to collect the reference spectra of various fluorescing aerosols and simulants of biological agents. One of the main objectives in using this chamber is to produce and compile a library of instrument-free fluorescing spectra that can be transferred to other LIDAR-based bioaerosol sensors with known optical transfer functions. Numéro de notice : A2010-573 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2046906 En ligne : https://doi.org/10.1109/TGRS.2010.2046906 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30764 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2010091	RAB	Revue	Centre de documentation	En réserve L003	Disponible