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Automatic change detection by evidential fusion of change indices / Sylvie Le Hégarat-Mascle in Remote sensing of environment, vol 91 n° 3 (30/06/2004)
[article]
Titre : Automatic change detection by evidential fusion of change indices Type de document : Article/Communication Auteurs : Sylvie Le Hégarat-Mascle, Auteur ; R. Seltzer, Auteur Année de publication : 2004 Article en page(s) : pp 390 - 404 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse texturale
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] fusion de données
[Termes IGN] image optique
[Termes IGN] incendie de forêt
[Termes IGN] théorie de Dempster-Shafer
[Termes IGN] valeur radiométriqueRésumé : (Auteur) The detection of changes affecting continental surfaces has important applications in hydrological, meteorological, and climatic modeling. We propose a way to improve mono-index change detection by a fusion of multi-index change detection results. This fusion is performed in the framework of the Dempster-Shafer evidence theory, which is particularly suited to the representation of imprecision and ignorance at the "no change"/" change" class border. Depending on the change detection index considered, we also need to determine the class number and features. This is done using the a contrario theory approach rather than classical statistical tests. The proposed algorithm is applied to forest fire damage evaluation based on three popular change indices: normalized difference values, texture evolution, and mutual information (MI). We find that change index fusion is effective at reducing both false alarm and misdetection levels, due to the complementary nature of these indices. Numéro de notice : A2004-281 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.04.001 En ligne : https://doi.org/10.1016/j.rse.2004.04.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26808
in Remote sensing of environment > vol 91 n° 3 (30/06/2004) . - pp 390 - 404[article]Cloud screening in IRS-P4 OCM satellite data: potential of spatial coherence method in the absence of thermal channel information / S.K. Nair in Remote sensing of environment, vol 90 n° 2 (30/03/2004)
[article]
Titre : Cloud screening in IRS-P4 OCM satellite data: potential of spatial coherence method in the absence of thermal channel information Type de document : Article/Communication Auteurs : S.K. Nair, Auteur ; K. Rajeev, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 259 - 267 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bande visible
[Termes IGN] détection
[Termes IGN] image IRS-OCM
[Termes IGN] image optique
[Termes IGN] image Seawifs
[Termes IGN] nébulosité
[Termes IGN] pixel
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] seuillage d'imageRésumé : (Auteur) Cloud screening of satellite data for the remote sensing of atmospheric aerosols, ocean sediments, chlorophyll, and phytoplankton in the marine environment is a major probleme in the absence of information from thermal channel. This is particularly the case with the data from some of the highly potential satellite sensors such as the Ocean Colour Monitor (OCM-on broad the Indian Remote Sensing Satellite, IRS-P4) and the SeaWiFS. Two main tests conventionally used for cloud screening of data from such satellite sensors are the threshold method applied to visible and near-IR bands and the visible to near-IR channel ratio method. These methods do not have the potential to eliminate the pixels with a small cloud fractions, leading to overestimation of the aerosol optical depth (AOD) derived from satellite data, and might also identify the pixels with high values of AOD as cloudy. The purpose of this paper is to study the potential of Spatial Coherence Tests (SCT) applied to the data from the near-IR bands for cloud screening of satellite data over the oceanic environment. We use here the data from IRS-P4 OCM. Though more computationally intensive, the SCT does not suffer from the serious limitations of the threshold and channel ratio methods and is found to be superior in identifying the clear sky pixels that are not affected by clouds. Although the SCT applied to near-IR channel data may be overestimating the number of cloud affected pixels, it neither leads to overestimation of AOD nor identifies the pixels with high AOD values as cloudy. Numéro de notice : A2004-143 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.12.010 En ligne : https://doi.org/10.1016/j.rse.2003.12.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26670
in Remote sensing of environment > vol 90 n° 2 (30/03/2004) . - pp 259 - 267[article]A basis for estimating digital camera parameters / D. Light in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 3 (March 2004)
[article]
Titre : A basis for estimating digital camera parameters Type de document : Article/Communication Auteurs : D. Light, Auteur Année de publication : 2004 Article en page(s) : pp 297 - 300 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] caméra numérique
[Termes IGN] diffraction
[Termes IGN] échantillonnage d'image
[Termes IGN] pas d'échantillonnage au sol
[Termes IGN] pixelRésumé : (Auteur) Matching the diffraction -limited optical resolution with the appropriate detector size is a fundamental design requirement for digital imaging systems. A useful Design Function based on the Airy disk is lF/p = 0.82. Where is the average wavelength, F is the camera F-number, and p is the detector sampling pitch (pixel size). A second metric, attributed to Schade and reported by Holst (1999), produces an often used Design Function: lF1p = 1. Examples demonstrate the use of the Design Functions to determine basic parameters, F-number, focal length, aperture diameter, and pixel size for an imaging system. Pixel size is selected from commercially available arrays and the other parameters are estimated given the required ground sampled distance (GSD) with either of the two Design Functions. One of the primary uses for the Design Functions is to provide optical systems engineers with a simple, fast, and proven means of arriving at first-order estimates -for electro-optical camera designs. It follows that estimating costs for building large space camera systems should be less complicated. Numéro de notice : A2004-102 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.3.297 En ligne : http://dx.doi.org/10.14358/PERS.70.3.297 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26629
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 3 (March 2004) . - pp 297 - 300[article]A double continuous approach to visualization and analysis of categorial maps / T. Hengl in International journal of geographical information science IJGIS, vol 18 n° 2 (march 2004)
[article]
Titre : A double continuous approach to visualization and analysis of categorial maps Type de document : Article/Communication Auteurs : T. Hengl, Auteur ; D.J.J. Walvoort, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 183 - 202 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse factorielle
[Termes IGN] carte thématique
[Termes IGN] classification barycentrique
[Termes IGN] classification floue
[Termes IGN] cohérence des couleurs
[Termes IGN] pixel
[Termes IGN] système d'information géographique
[Termes IGN] taxinomie
[Termes IGN] traitement d'image
[Termes IGN] transformation intensité-teinte-saturation
[Termes IGN] visualisation cartographiqueRésumé : (Auteur) A method to visualize multiple membership maps, called 'Colour mixture' (CM) is described and compared with alternative techniques: defuzzification and Pixel mixture. Six landform parameters were used to derive the landform classes using supervised fuzzy k-means classification. The continuous categorical map is derived by GIS calculations with colours, where colour values are considered to represent the taxonomic space spanned by the attribute variables. Coordinates of the nine class centres (landform facets) were first transformed from multivariate to two-dimensional attribute space using factor analysis, and then projected on the Hue Saturation Intensity (HSI) colourwheel. The taxonomic value was coded with the Hue and confusion with Saturation. To improve visual impression, saturation was replaced with whiteness. Classes that were closer in attribute space were merged into similar generic colours. The CM technique limits the derived mixed-colour map to seven generic hues independently of the total number of classes, which provides a basis for automated generalization. The confusion index derived from the mixed-colour map was used to derive primary boundaries and to locate areas of higher taxonomic confusion. Numéro de notice : A2004-042 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810310001620924 En ligne : https://doi.org/10.1080/13658810310001620924 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26570
in International journal of geographical information science IJGIS > vol 18 n° 2 (march 2004) . - pp 183 - 202[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-04021 RAB Revue Centre de documentation En réserve L003 Disponible Within-field wheat yield prediction from Ikonos data: a new matrix approach / E.A. Enclona in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)
[article]
Titre : Within-field wheat yield prediction from Ikonos data: a new matrix approach Type de document : Article/Communication Auteurs : E.A. Enclona, Auteur ; Prasad S. Thenkabail, Auteur ; D. Celis, Auteur ; J. Diekmann, Auteur Année de publication : 2004 Article en page(s) : pp 377 - 388 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture de précision
[Termes IGN] blé (céréale)
[Termes IGN] carte agricole
[Termes IGN] image Ikonos
[Termes IGN] pixel
[Termes IGN] rendement agricoleRésumé : (Auteur) This study demonstrates a unique matrix approach to determine within-field variability in wheat yields using fine spatial resolution 4 m IKONOS data. The matrix approach involves solving a system of simultaneous equations based on IKONOS data and post-harvest yields available at entire field scale. This approach was compared with a regression-based modelling approach involving field-sensor measured yields and the corresponding IKONOS measured indices and wavebands. The IKONOS data explained 74-78% variability in wheat yield. This is a significant result since the finer spatial resolution leads to capturing greater spatial variability and detail in landscape relative to coarser spatial resolution data. A pixel-by-pixel mapping of wheat yield variability highlights the fine spatial detail provided by IKONOS data for precision farming applications. Numéro de notice : A2004-056 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000102485 En ligne : https://doi.org/10.1080/0143116031000102485 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26584
in International Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) . - pp 377 - 388[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04021 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery / D.A. Clausi in IEEE Transactions on geoscience and remote sensing, vol 42 n° 1 (January 2004)PermalinkDetecting building changes from multitemporal aerial stereopairs / Franck Jung in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 3-4 (January - June 2004)PermalinkRecalage vectoriel 3D de contours de bâtiments à partir d'un couple d'images aériennes stéréoscopiques / D. Rambourg (2004)PermalinkStudy of urban spatial patterns from SPOT panchromatic imagery using textural analysis / Qian Zhang in International Journal of Remote Sensing IJRS, vol 24 n° 21 (November 2003)PermalinkMeasuring the physical composition of urban morphology using multiple endmember spectral mixture models / T. Rashed in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)PermalinkUrban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data / L. Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)PermalinkFusion of spectral and shape features for identification of urban surface cover types using reflective and thermal hyperspectral data / Karl Segl in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)PermalinkComparison of gray-level reduction and different texture spectrum encoding methods for land-use classification using a panchromatic Ikonos image / B. Xu in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 5 (May 2003)PermalinkFuzzy set approach to assessing similarity of categorical maps / Alex Hagen-Zanker in International journal of geographical information science IJGIS, vol 17 n° 3 (may 2003)PermalinkComparing texture analysis methods through classification / P. Maillard in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 4 (April 2003)PermalinkExtracting 3D free-form surface boundaries of man-made objects from multiple calibrated images : a robust, accurate and high resolving power edgel matching and chaining approach / Franck Jung (2003)PermalinkClassification of GIS-objects for change detection / Volker Walter in GIS Geo-Informations-Systeme, vol 2002 n° 12 (Dezember 2002)PermalinkBayesian soft classification for sub-pixel analysis: a critical evaluation / J. Ronald Eastman in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 11 (November 2002)PermalinkThe effect of training strategies on supervised classification at different spatial resolutions / D.M. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 11 (November 2002)PermalinkImpact of contextual information integration on pixel fusion / Sophie Fabre in IEEE Transactions on geoscience and remote sensing, vol 40 n° 9 (September 2002)PermalinkVisualizing topography by openness: a new application of image processing to digital elevation models / R. Yokoyama in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)PermalinkPermalinkvol 68 n° 1 - January 2002 - The national elevation dataset (Bulletin de Photogrammetric Engineering & Remote Sensing, PERS) / American society for photogrammetry and remote sensingPermalinkLes caméras numériques aéroportées / Michel Kasser in Géomètre, vol 2001 n° 11 (novembre 2001)PermalinkLa numérisation des photographies aériennes / Michel Kasser in Géomètre, vol 2001 n° 11 (novembre 2001)Permalink