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Spatial resolution imagery requirements for identifying structure damage in a hurricane disaster: A cognitive approach / S. Battersby in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 6 (June 2012)
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Titre : Spatial resolution imagery requirements for identifying structure damage in a hurricane disaster: A cognitive approach Type de document : Article/Communication Auteurs : S. Battersby, Auteur ; M. Hodgson, Auteur ; Jing Wang, Auteur Année de publication : 2012 Article en page(s) : pp 625 - 635 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse visuelle
[Termes IGN] classification à base de connaissances
[Termes IGN] cognition
[Termes IGN] dommage matériel
[Termes IGN] pouvoir de résolution géométrique
[Termes IGN] risque naturel
[Termes IGN] seuillage d'image
[Termes IGN] tempête
[Termes IGN] zone sinistréeRésumé : (Auteur) In disaster response, timely collection and exploitation of remotely sensed imagery is of increasing importance. Image exploitation approaches during the immediate (first few days) aftermath of a disaster are predominantly through visual analysis rather than automated classification methods. While the temporal needs for obtaining the imagery are fairly clear (within a one- to three-day window), there have only been educated guesses about the spatial resolution requirements necessary for the imagery for visual analysis. In this paper, we report results from an empirical study to identify the coarsest spatial resolution that is adequate for tasks required immediately following a major disaster. The study was conducted using cognitive science experimental methods and evaluated the performance of individuals with varying image interpretation skills in the task of mapping hurricane-related residential structural damage. Through this study, we found 1.5 m as a threshold for the coarsest spatial resolution imagery that can successfully be used for this task. The results of the study are discussed in terms of the likelihood of collection of this type of imagery within the temporal window required for emergency management operations. Numéro de notice : A2012-250 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.6.625 En ligne : https://doi.org/10.14358/PERS.78.6.625 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31696
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 6 (June 2012) . - pp 625 - 635[article]A multispectral and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)
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Titre : A multispectral and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery Type de document : Article/Communication Auteurs : X. Huang, Auteur ; L. Zhang, Auteur Année de publication : 2011 Article en page(s) : pp 721 - 732 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection du bâti
[Termes IGN] extraction automatique
[Termes IGN] image Geoeye
[Termes IGN] image multibande
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] seuillage d'image
[Termes IGN] Wuhan (Chine)Résumé : (Auteur) This study proposes a novel morphological building index (MBl) for automatic building extraction from high-resolu-tion remotely sensed imagery. The basic idea of MBl is to build a relationship between the implicit characteristics of buildings (e.g., brightness, size, and contrast) and the properties of morphological operators (e.g., reconstruction, granulometry, and directionality). Buildings are extracted by performing a threshold on the MBl feature image. Subsequently, the shape features, such as area and length width ratio, are used to refine the binary building map. In order to validate the proposed algorithm, a comparative study was performed between MBl, a recently developed texture-derived built-up presence index (PanTex), and the widely used object-based approach. Experiments were conducted on a multispectral GeoEye-1 image, covering a study area of 5.5 km by 5.3 km in Hongshan district of Wuhan, central China. In experiments, MBl achieved satisfactory results and outperformed other algorithms in terms of both accuracies and visual inspection. The effect: of parameters of mbi were also analyzed in detail, includ-ing directions, sizes and the binaryzation threshold. Numéro de notice : A2011-314 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.7.721 En ligne : https://doi.org/10.14358/PERS.77.7.721 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31093
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 7 (July 2011) . - pp 721 - 732[article]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)
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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)
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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]Noise-signal index threshold: a new noise-reduction technique for generation of reference spectra and efficient hyperspectral image classification / K. Kusuma in Geocarto international, vol 25 n° 7 (November 2010)
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Titre : Noise-signal index threshold: a new noise-reduction technique for generation of reference spectra and efficient hyperspectral image classification Type de document : Article/Communication Auteurs : K. Kusuma, Auteur ; D. Ramakrishnan, Auteur ; H. Pandalai, Auteur ; G. Kailash, Auteur Année de publication : 2010 Article en page(s) : pp 569 - 580 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] bruit blanc
[Termes IGN] classification spectrale
[Termes IGN] correction radiométrique
[Termes IGN] filtrage du bruit
[Termes IGN] modèle empirique
[Termes IGN] réponse spectrale
[Termes IGN] seuillage d'imageRésumé : (Auteur) Reference spectra of terrestrial targets are usually collected using field spectro-radiometers for mineral abundance mapping and target detection. These spectra often have noise that masks characteristic absorption and reflection features and affects the efficiency of material mapping. This work aims at obtaining an empirical technique for reduction of high-frequency noise from field spectra. The proposed noise correction technique uses a 'normalized' measure Rn, where Rn = (Ln - Fn)/Ln for each band (n) calculated from field and laboratory spectra of test material, with Fn and Ln being the depth of the absorption feature in field and laboratory spectra, respectively. On the basis of the assumption of the constancy of this ratio in neighbouring bands, an empirical algorithm that approximates the ratio Rn of a noisy band to the corrected ratio of an adjacent band is used to obtain the noise-corrected field spectra. The classification accuracy increases significantly when noise reduced field spectra are used as reference spectra. Numéro de notice : A2010-471 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2010.510582 Date de publication en ligne : 16/09/2010 En ligne : https://doi.org/10.1080/10106049.2010.510582 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30664
in Geocarto international > vol 25 n° 7 (November 2010) . - pp 569 - 580[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2010071 RAB Revue Centre de documentation En réserve L003 Disponible Automatic detection of residential building using LIDAR data and multispectral imagery / M. Awrangjeb in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)
PermalinkShoreline extraction from RADARSAT-2 intensity imagery using a narrow band level set segmentation approach / Y. Shu in Marine geodesy, vol 33 n° 2-3 (April - September 2010)
PermalinkAutomated image-to-map discrepancy detection using iterative trimming / J. Radoux in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 2 (February 2010)
PermalinkAn adaptive thresholding multiple classifiers system for remote sensing image classification / Y. Tzeng in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 6 (June 2009)
PermalinkEfficient shadow detection of color aerial images based on successive thresholding scheme / K.L. Chung in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)
PermalinkA knowledge-based approach to urban feature classification using aerial imagery with Lidar data / M. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
PermalinkUrban change detection based on coherence and intensity characteristics of SAR imagery / M. Liao in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 8 (August 2008)
PermalinkPermalinkImproving land-cover classification using recognition threshold neural networks / M.J. Aitkenhead in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 4 (April 2007)
PermalinkEvaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm / M. Momeni in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
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