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Auteur R.S. Fletcher |
Documents disponibles écrits par cet auteur (3)



Evaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas gulf coast / C. Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)
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Titre : Evaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas gulf coast Type de document : Article/Communication Auteurs : C. Yang, Auteur ; James H. Everitt, Auteur ; R.S. Fletcher, Auteur Année de publication : 2009 Article en page(s) : pp 425 - 435 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte de la végétation
[Termes IGN] classification barycentrique
[Termes IGN] classification par la distance de Mahalanobis
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification spectrale
[Termes IGN] image aérienne
[Termes IGN] image AISA+
[Termes IGN] image hyperspectrale
[Termes IGN] Kappa de Cohen
[Termes IGN] littoral
[Termes IGN] mangrove
[Termes IGN] Mexique (golfe du)Résumé : (Auteur) Mangrove wetlands are economically and ecologically important ecosystems and accurate assessment of these wetlands with remote sensing can assist in their management and conservation. This study was conducted to evaluate airborne AISA+ hyperspectral imagery and image transformation and classification techniques for mapping black mangrove populations on the south Texas Gulf coast. AISA+ hyperspectral imagery was acquired from two study sites and both minimum noise fraction (MNF) and inverse MNF transforms were performed. Four classification methods, including minimum distance, Mahalanobis distance, maximum likelihood, and spectral angle mapper (SAM), were applied to the noise-reduced hyperspectral imagery and to the band-reduced MNF imagery for distinguishing black mangrove from associated plant species and other cover types. Accuracy assessment showed that overall accuracy varied from 84 percent to 95 percent for site 1 and from 69 percent to 91 percent for site 2 among the eight classifications for each site. The MNF images provided similar or better classification results compared with the hyperspectral images among the four classifiers. Kappa analysis showed that there were no significant differences among the four classifiers with the MNF imagery, though maximum likelihood provided excellent overall and class accuracies for both sites. Producer’s and user’s accuracies for black mangrove were 91 percent and 94 percent, respectively, for site 1 and both 91 percent for site 2 based on maximum likelihood applied to the MNF imagery. These results indicate that airborne hyperspectral imagery combined with image transformation and classification techniques can be a useful tool for monitoring and mapping black mangrove distributions in coastal environments. Copyright ASPRS Numéro de notice : A2009-107 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.75.4.425 En ligne : https://doi.org/10.14358/PERS.75.4.425 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29737
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 4 (April 2009) . - pp 425 - 435[article]A six-camera digital video imaging system sensitive to visible, red edge, near-infrared, and mid-infrared wavelengths / R.S. Fletcher in Geocarto international, vol 22 n° 2 (June - August 2007)
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Titre : A six-camera digital video imaging system sensitive to visible, red edge, near-infrared, and mid-infrared wavelengths Type de document : Article/Communication Auteurs : R.S. Fletcher, Auteur ; James H. Everitt, Auteur Année de publication : 2007 Article en page(s) : pp 75 - 86 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] caméra numérique
[Termes IGN] capteur imageur
[Termes IGN] image multibande
[Termes IGN] image vidéo
[Termes IGN] rayonnement infrarouge
[Termes IGN] rayonnement lumineux
[Termes IGN] vidéo numériqueRésumé : (Auteur) This paper describes a six-camera multispectral digital video imaging system designed for natural resource assessment and shows its potential as a research tool. It has five visible to near-infrared light sensitive cameras, one near-infrared to mid-infrared light sensitive camera, a monitor, a computer with a multichannel digitizing board, a keyboard, a power distributor, an amplifier, and a mouse. Each camera is fitted with a narrowband interference filter, allowing the system to obtain imagery in the blue (447 - 455 nm), green (555 - 565 nm), red (625 - 635 nm), red edge (704 - 716 nm), near-infrared (814-826 nm), and mid-infrared (1631 - 1676 nm) regions of the electromagnetic spectrum. Analogue video acquired by this system is converted to digital format. Radiometric resolution of the imagery is 8-bit (pixel values range 0 - 255). Images obtained by the system can be evaluated individually and/or in combination with each other to assess natural resources. Copyright Taylor & Francis Numéro de notice : A2007-458 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701201608 Date de publication en ligne : 18/06/2007 En ligne : https://doi.org/10.1080/10106040701201608 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28821
in Geocarto international > vol 22 n° 2 (June - August 2007) . - pp 75 - 86[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-07021 RAB Revue Centre de documentation En réserve L003 Disponible Relationship between plant spectral reflectances and their image tonal responses on aerial photographs / D.E. Escobar in Geocarto international, vol 17 n° 2 (June - August 2002)
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Titre : Relationship between plant spectral reflectances and their image tonal responses on aerial photographs Type de document : Article/Communication Auteurs : D.E. Escobar, Auteur ; James H. Everitt, Auteur ; M.R. Davis, Auteur ; R.S. Fletcher, Auteur ; C. Yang, Auteur Année de publication : 2002 Article en page(s) : pp 63 - 74 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] émulsion photographique
[Termes IGN] photographie aérienne
[Termes IGN] photographie en couleur
[Termes IGN] photographie infrarouge
[Termes IGN] réflectance spectrale
[Termes IGN] réflectance végétale
[Termes IGN] réponse spectrale
[Termes IGN] végétationRésumé : (Auteur) Conventional color (CC) and colorinfrared (CIR) photography have been used in a widerange of remote sensing applications. Many users, however, do not fully understand or know how to interpret it. Published plant photography / reflectance studies make little effort to help the layreader understand the relationship of plant spectral reflectance with their color tonal response on color photographic film. The objective of this paper is to describe the relationship of how spectral reflectances of plant species are registered on photographic film and how the resultant color tonal responses of the plants are produced in relation to their spectral reflectance. Illustrations are presented which simplify the interpretation of the interaction between plant canopy reflectance and CC/CIR photographic film emulsion layers, including the resultant color tones of the plants. Research studies addressing both plant photography and reflectance data can be more meaningful and better appreciated if one has a general understanding of these relationships. Numéro de notice : A2002-227 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542237 En ligne : https://doi.org/10.1080/10106040208542237 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22141
in Geocarto international > vol 17 n° 2 (June - August 2002) . - pp 63 - 74[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-02021 RAB Revue Centre de documentation En réserve L003 Disponible