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Historical land use as a feature for image classification / Jorge Abel Recio in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 4 (April 2011)
[article]
Titre : Historical land use as a feature for image classification Type de document : Article/Communication Auteurs : Jorge Abel Recio, Auteur ; Txomin Hermosilla, Auteur ; L. Ruiz, Auteur ; A. Fernandez-Sarria, Auteur Année de publication : 2011 Article en page(s) : pp 377 - 387 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] changement d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] détection de changement
[Termes IGN] données spatiotemporelles
[Termes IGN] mise à jour de base de données
[Termes IGN] précision de la classification
[Termes IGN] utilisation du solRésumé : (Auteur) This paper analyzes the effect of the addition of historical land-use as a descriptive feature in plot-based image classification when updating land-use/land-cover geospatial databases. Several historical databases have been simulated to assess the influence and significance of this feature in the classification. The causes, nature, and evolution of classification errors as the database currency varies are analyzed; and the impact of these errors on change detection during the updating process is evaluated. The results show that the addition of historical land-use information increases the overall accuracy of image classifications. During a database updating process, changes are detected by comparing the historical land-use with the classification results. The main drawback of employing historical land-use as a descriptive feature in image classification for change detection is that the percentage of undetectable errors significantly increases as more accurate is the database information. Numéro de notice : A2011-129 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.4.377 En ligne : https://doi.org/10.14358/PERS.77.4.377 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30908
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 4 (April 2011) . - pp 377 - 387[article]Qualitative change detection using sensor networks based on connectivity information / J. Jiang in Geoinformatica, vol 15 n° 2 (April 2011)
[article]
Titre : Qualitative change detection using sensor networks based on connectivity information Type de document : Article/Communication Auteurs : J. Jiang, Auteur ; Michael F. Worboys, Auteur ; Silvia Nittel, Auteur Année de publication : 2011 Article en page(s) : pp 305 - 328 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] aérosol
[Termes IGN] analyse diachronique
[Termes IGN] connexité (informatique)
[Termes IGN] détection de changement
[Termes IGN] données spatiotemporelles
[Termes IGN] gaz
[Termes IGN] réseau de capteurs
[Termes IGN] Sensor Web Enablement
[Termes IGN] traitement de donnéesRésumé : (Auteur) The research reported in this paper uses wireless sensor networks to provide salient information about spatially distributed dynamic fields, such as regional variations in temperature or concentration of a toxic gas. The focus is on deriving qualitative descriptions of salient changes to areas of high-activity that occur during the temporal evolution of the field. The changes reported include region merging or splitting, and hole formation or elimination. Such changes are formally characterized, and a distributed qualitative change reporting (QCR) approach is developed that detects the qualitative changes simply based on the connectivity between the sensor nodes without location information. The efficiency of the QCR approach is investigated using simulation experiments. The results show that the communication cost of the QCR approach in monitoring large-scale phenomena is an order of magnitude lower than that using the standard boundary-based data collection approach, where each node is assumed to have its location information. Numéro de notice : A2011-087 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.1007/s10707-009-0097-0 Date de publication en ligne : 22/10/2009 En ligne : https://doi.org/10.1007/s10707-009-0097-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30867
in Geoinformatica > vol 15 n° 2 (April 2011) . - pp 305 - 328[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011021 RAB Revue Centre de documentation En réserve L003 Disponible Reducing mis-registration and shadow effects on change detection in wetlands / Jinxia Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 4 (April 2011)
[article]
Titre : Reducing mis-registration and shadow effects on change detection in wetlands Type de document : Article/Communication Auteurs : Jinxia Zhu, Auteur ; Q. Guo, Auteur ; D. Li, Auteur ; T. Harmon, Auteur Année de publication : 2011 Article en page(s) : pp 325 - 334 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] axe de prise de vue
[Termes IGN] classification orientée objet
[Termes IGN] correction des ombres
[Termes IGN] détection de changement
[Termes IGN] marais
[Termes IGN] ombre
[Termes IGN] seuillage d'image
[Termes IGN] superposition d'imagesRésumé : (Auteur) With respect to the inevitable mis-registration and shadow effects on change detection analysis, we propose object-based post-classification of the Multivariate Alteration Detection components (ob-mad). Very high spatial resolution images of drained, managed wetland ponds were used to compare the proposed OB-MAD method with three commonly used classification methods in terms of minimizing the influence of mis-registration and shadow on the change detection analysis: (a) the traditional mad method with thresholds (Threshold-MAD), (b) a pixel-based post-classification of mad components with decision tree analysis (PB-MAD), and (c) a traditional object-based post-classification method (OB-traditional). The OB-MAD method, which utilizes shape and textural information of objects derived from MAD components, produced the highest accuracy with respect to wetland change detection and successfully minimized the influence from the geometric distortion and shadow on the changed area. Numéro de notice : A2011-127 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.4.325 En ligne : https://doi.org/10.14358/PERS.77.4.325 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30906
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 4 (April 2011) . - pp 325 - 334[article]A genetic algorithm approach to moving threshold optimization for binary change detection / J. Im in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)
[article]
Titre : A genetic algorithm approach to moving threshold optimization for binary change detection Type de document : Article/Communication Auteurs : J. Im, Auteur ; Zhong Lu, Auteur ; J. Jensen, Auteur Année de publication : 2011 Article en page(s) : pp 167 - 180 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme génétique
[Termes IGN] détection de changement
[Termes IGN] image Quickbird
[Termes IGN] seuillage d'imageRésumé : (Auteur) This study investigated the use of a genetic algorithm (GA) approach, a widely used optimization method, to identify optimum thresholds for remote sensing-based binary change detection. Automated GA-based calibration models using a moving threshold window (MTW) were developed and tested using a case study. Two sets of the bi-temporal QuickBird imagery were used to evaluate the new optimization models. The GA-based models using MTW were free from the assumption of symmetry of thresholds for difference- or ratio-type of change-enhanced images, unlike traditional binary change detection methods, allowing more flexibility and efficiency in selecting optimum thresholds. Exhaustive search techniques using symmetric threshold window (STW) and MTW were evaluated for comparison. The stability of the GA-based models in terms of accuracy variation was also examined. The GA-based calibration models successfully identified optimum thresholds without a significant decrease in accuracy. The GA-based models using MTW outperformed the GA-based model using STW in both calibration and validation, revealing that optimum thresholds tended to be asymmetric. Multiple change-enhanced images generally resulted in better performance than single change-enhanced images based on the GA-based models. Numéro de notice : A2011-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.2.167 En ligne : https://doi.org/10.14358/PERS.77.2.167 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30828
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 2 (February 2011) . - pp 167 - 180[article]2D change detection from satellite imagery: Performance analysis and impact of the spatial resolution of input images / Nicolas Champion (2011)
Titre : 2D change detection from satellite imagery: Performance analysis and impact of the spatial resolution of input images Type de document : Article/Communication Auteurs : Nicolas Champion , Auteur ; Didier Boldo , Auteur ; Marc Pierrot-Deseilligny , Auteur ; Georges Stamon, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2011 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : IGARSS 2011, IEEE International Geoscience And Remote Sensing Symposium 24/07/2011 29/07/2011 Vancouver Colombie britannique - Canada Proceedings IEEE Importance : pp 1421 -1424 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection de changement
[Termes IGN] image satellite
[Termes IGN] limite de résolution géométrique
[Termes IGN] test de performanceRésumé : (auteur) In the past few years, many change detection methods have been proposed in the GIS community to support the update of existing building databases. If most of these methods use images to settle the problem, only a few of them analyse the optimal resolution to use for input images. The main goal of this paper - that focuses on the use of satellite images - is to provide possible answers to this question. For that purpose, a change detection method is tested on several test areas, for which input images are available at different resolutions (50 cm and 70 cm). The outcomes of the method are then evaluated and analysed in order to highlight the impact of the spatial resolution of input images on the system's efficiency. Numéro de notice : C2011-047 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2011.6049332 Date de publication en ligne : 20/10/2011 En ligne : https://doi.org/10.1109/IGARSS.2011.6049332 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97498 Change detection in a topographic building database using submetric satellite images / Arnaud Le Bris (2011)PermalinkDétection de changement 2D à partir d’imagerie satellitaire : Application à la mise à jour des bases de données géographiques / Nicolas Champion (2011)PermalinkGeographic 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)PermalinkEffect of SRTM resolution on morphometric feature identification using neural network - self organizing map / A. Ehsani in Geoinformatica, vol 14 n° 4 (October 2010)PermalinkApplication of remote sensing and geographic information system in change detection of the Netravati and Gurpur river channels, Karnataka, India / A. Kumar in Geocarto international, vol 25 n° 5 (August 2010)PermalinkRule-based classification of a very high resolution image in an urban environment using multispectral segmentation by cartographic data / M. Bouziani in IEEE Transactions on geoscience and remote sensing, vol 48 n° 8 (August 2010)PermalinkSemisupervised one-class support vector machine for classification of remote sensing data / Jordi Munoz-Mari in IEEE Transactions on geoscience and remote sensing, vol 48 n° 8 (August 2010)Permalink2D building change detection from high resolution satellite imagery: A two-step hierarchical method based on 3D invariant primitives / Nicolas Champion in Pattern recognition letters, vol 31 n° 10 (15 July 2010)Permalinkvol 31 n° 13 - July /2010 - Special issue : Satellite observations of the Wenchuan earthquake of 12 may 2008 (Bulletin de International Journal of Remote Sensing IJRS) / Ranjit SinghPermalinkAn object-based conceptual framework and computational method for representing and analyzing coastal morphological changes / H. Liu in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)Permalink