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Cloud-free satellite image mosaics with regression trees and histogram matching / E.H. Helmert in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 9 (September 2005)
[article]
Titre : Cloud-free satellite image mosaics with regression trees and histogram matching Type de document : Article/Communication Auteurs : E.H. Helmert, Auteur ; B. Ruefenacht, Auteur Année de publication : 2005 Article en page(s) : pp 1079 - 1089 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement d'histogramme
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] détection de changement
[Termes IGN] histogramme
[Termes IGN] mosaïque d'images
[Termes IGN] nuage
[Termes IGN] ombre
[Termes IGN] régressionRésumé : (Auteur) Cloud-free optical satellite imagery simplifies remote sensing, but land-cover phenology limits existing solutions to persistent cloudiness to compositing temporally resolute, spatially coarser imagery. Here, a new strategy for developing cloud-free imagery at finer resolution permits simple automatic change detection. The strategy uses regression trees to predict pixel values underneath clouds and cloud shadows in reference scenes from other scene dates. It then applies improved histogram matching to adjacent scenes. In the study area, the islands of Puerto Rico, Vieques, and Culebra, Landsat image mosaics resulting from this strategy permit accurate detection of land development with only spectral data and maximum likelihood classification. Between about 1991 and 2000, urban/built-up lands increased by 7.2 percent in Puerto Rico and 49 percent in Vieques and Culebra. The regression tree modeling and histogram matching require no manual interpretation. Consequently, they can support large volume processing to distribute cloud-free imagery for simple change detections with common classifiers. Numéro de notice : A2005-391 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.9.1079 En ligne : https://doi.org/10.14358/PERS.71.9.1079 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27527
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 9 (September 2005) . - pp 1079 - 1089[article]Image misregistration error in change measurements / H. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 9 (September 2005)
[article]
Titre : Image misregistration error in change measurements Type de document : Article/Communication Auteurs : H. Wang, Auteur ; E.C. Ellis, Auteur Année de publication : 2005 Article en page(s) : pp 1037 - 1044 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] cartographie écologique
[Termes IGN] Chine
[Termes IGN] détection de changement
[Termes IGN] erreur de positionnement
[Termes IGN] Etats-Unis
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] orthophotographie
[Termes IGN] paysage rural
[Termes IGN] paysage urbain
[Termes IGN] planimétrie
[Termes IGN] précision de localisation
[Termes IGN] réalité de terrain
[Termes IGN] régressionRésumé : (Auteur) Planimetric positional error limits the accuracy of landscape change measurements based on features interpreted from high spatial resolution imagery ( Numéro de notice : A2005-389 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.9.1037 En ligne : https://doi.org/10.14358/PERS.71.9.1037 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27525
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 9 (September 2005) . - pp 1037 - 1044[article]Optimization approaches for generalization and data abstraction / Monika Sester in International journal of geographical information science IJGIS, vol 19 n° 8 - 9 (september 2005)
[article]
Titre : Optimization approaches for generalization and data abstraction Type de document : Article/Communication Auteurs : Monika Sester, Auteur Année de publication : 2005 Article en page(s) : pp 871 - 897 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte de Kohonen
[Termes IGN] déplacement d'objet géographique
[Termes IGN] données localisées numériques
[Termes IGN] extraction automatique
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] jeu de données localisées
[Termes IGN] méthode des moindres carrés
[Termes IGN] optimisation (mathématiques)
[Termes IGN] représentation des détails topographiques
[Termes IGN] typification
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) The availability of methods for abstracting and generalizing spatial data is vital for understanding and communicating spatial information. Spatial analysis using maps at different scales is a good example of this. Such methods are needed not only for analogue spatial data sets but even more so for digital data. In order to automate the process of generating different levels of detail of a spatial data set, generalization operations are used. The paper first gives an overview on current approaches for the automation of generalization and data abstraction, and then presents solutions for three generalization problems based on optimization techniques. Least-Squares Adjustment is used for displacement and shape simplification (here, building groundplans), and Self-Organizing Maps, a Neural Network technique, is applied for typification, i.e. a density preserving reduction of objects. The methods are validated with several examples and evaluated according to their advantages and disadvantages. Finally, a scenario describes how these methods can be combined to automatically yield a satisfying result for integrating two data sets of different scales. Numéro de notice : A2005-405 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500161179 En ligne : https://doi.org/10.1080/13658810500161179 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27541
in International journal of geographical information science IJGIS > vol 19 n° 8 - 9 (september 2005) . - pp 871 - 897[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-05081 RAB Revue Centre de documentation En réserve L003 Disponible 079-05082 RAB Revue Centre de documentation En réserve L003 Disponible Remote sensing of water quality for Burullus lake, Egypt / Kh. M. Dewidar in Geocarto international, vol 20 n° 3 (September - November 2005)
[article]
Titre : Remote sensing of water quality for Burullus lake, Egypt Type de document : Article/Communication Auteurs : Kh. M. Dewidar, Auteur ; A.A. Khedr, Auteur Année de publication : 2005 Article en page(s) : pp 43 - 49 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] appariement d'images
[Termes IGN] carte thématique
[Termes IGN] composition chimique
[Termes IGN] données de terrain
[Termes IGN] Egypte
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] lac
[Termes IGN] qualité des eaux
[Termes IGN] radiance
[Termes IGN] régression multipleRésumé : (Auteur) The objective of this study was to use Landsat Thematic Mapper TM data combined with surface measurements for mapping water quality parameters of Burullus Lake. Water samples were collected in the field at the same time of satellite image acquisition (April, 1997). TM bands 1, 2, 3, 4, 5, 7 and band ratios 1/4, 3/2, 2/1, 4/2, 4/3, 3/4, 7/5 and principal components of TM bands 1-4 (PC1 and PC2) were compared with in situ measurements and laboratory analysis of water samples. The water quality of interest included, Cl-, K+, Na+, soluble reactive phosphorus (SRP) dissolved inorganic nitrogen (DIN), dissolved oxygen (DO), pH, Salinity, Secchi disc and water depth. Also, the percentage of organic matter in bottom sediments and texture (sand, silt, clay) analyses are used in the evaluation processes. Correlation and regression models were developed between each of the water quality parameter measurements and the radiance of image data. Some water quality parameters were significantly correlated with TM radiance data. Subsequently, multiple linear regression models were used to prepare digital cartographic products depicting the water quality over the entire study area. Numéro de notice : A2005-446 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040508542354 Date de publication en ligne : 02/01/2008 En ligne : https://doi.org/10.1080/10106040508542354 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27582
in Geocarto international > vol 20 n° 3 (September - November 2005) . - pp 43 - 49[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-05031 RAB Revue Centre de documentation En réserve L003 Disponible A statistical self-organizing learning system for remote sensing classification / H.M. Chi in IEEE Transactions on geoscience and remote sensing, vol 43 n° 8 (August 2005)
[article]
Titre : A statistical self-organizing learning system for remote sensing classification Type de document : Article/Communication Auteurs : H.M. Chi, Auteur ; O.K. Ersoy, Auteur Année de publication : 2005 Article en page(s) : pp 1890 - 1900 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage automatique
[Termes IGN] carte de Kohonen
[Termes IGN] classification par réseau neuronal
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image hyperspectrale
[Termes IGN] méthode des moindres carrés
[Termes IGN] noeud
[Termes IGN] système expert
[Termes IGN] transformation non linéaireRésumé : (Auteur) A new learning system called a statistical self-organizing learning system (SSOLS), combining functional-link neural networks, statistical hypothesis testing, and self-organization of a number of enhancement nodes, is introduced for remote sensing applications. Its structure consists of two stages, a mapping stage and a learning stage. The input training vectors are initially mapped to the enhancement vectors in the mapping stage by multiplying with a random matrix, followed by pointwise nonlinear transformations. Starting with only one enhancement node, the enhancement layer incrementally adds an extra node in each iteration. The optimum dimension of the enhancement layer is determined by using an efficient leave-one-out cross-validation method. In this way, the number of enhancement nodes is also learned automatically. A t-test algorithm can also be applied to the mapping stage to mitigate the effect of overfitting and to further reduce the number of enhancement nodes required, resulting in a more compact network. In the learning stage, both the input vectors and the enhancement vectors are fed into a least squares learning module to obtain the estimated output vectors. This is made possible by choosing the output layer linear. In addition, several SSOLSs can be trained independently in parallel to form a consensual SSOLS, whose final output is a linear combination of the outputs of each SSOLS module. The SSOLS is simple, fast to compute, and suitable for remote sensing applications, especially with hyperspectral image data of high dimensionality. Numéro de notice : A2005-393 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.851188 En ligne : https://doi.org/10.1109/TGRS.2005.851188 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27529
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 8 (August 2005) . - pp 1890 - 1900[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05081 RAB Revue Centre de documentation En réserve L003 Disponible Analyse spatiale de la susceptibilité des versants aux glissements de terrains : comparaison de deux approches spatialisées par SIG / Yannick Thiery in Revue internationale de géomatique, vol 15 n° 2 (juin – août 2005)PermalinkRéduction de la variance dans les sondages en présence d'information auxiliaire : une approche non paramétrique par splines de régression / Camélia Goga in Canadian journal of statistics (The), vol 33 n° 2 (June - August 2005)PermalinkCalculating NDVI for NOAA/AVHRR data after atmospheric correction for extensive images using 6S code: a case study in the Marsabit district Kenya / K. Tachiiri in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)PermalinkLeast squares 3D surface and curve matching / Armin W. Gruen in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)PermalinkA method for detecting large-scale forest covers change using coarse spatial resolution imagery / R.H. Fraser in Remote sensing of environment, vol 95 n° 4 (30/04/2005)PermalinkLandsat-7 ETM+ radiometric normalization comparison for northern mapping application / I. Olthof in Remote sensing of environment, vol 95 n° 3 (15/04/2005)PermalinkEstimating tropical pasture quality at canopy level using band depth analysis with continuum removal in the visible domain / Onisimo Mutanga in International Journal of Remote Sensing IJRS, vol 26 n° 6 (March 2005)PermalinkA land cover distribution composite image from coarse spatial resolution images using an unmixing method / T.M. Uenishi in International Journal of Remote Sensing IJRS, vol 26 n° 5 (March 2005)PermalinkAnalysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe / K.P. Overmars in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)PermalinkA least squares-based method for adjusting the boundaries of area objects / X. Tong-Tong in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 2 (February 2005)PermalinkPredicting riparian evapotranspiration from MODIS vegetation indices and meteorological data / P. Nagler in Remote sensing of environment, vol 94 n° 1 (15/01/2005)PermalinkAnalyse des stochastischen Modells von GPS-Trägerphasenbeobachtungen / J. Howind (2005)PermalinkCalcul de l'allongement troposphérique via l'utilisation de cartes de l'ECMWF / Samuel Nahmani (2005)PermalinkClustérisation des calculs quotidiens du réseau GPS permanent, Volume 1. Rapport de stage / Yannick Carré (2005)PermalinkEstimation des paramètres de transformation entre différentes versions de l'ITRF / P. Nouaille-Degorce (2005)PermalinkNicht-lineare Sensitivitätsanalyse gezeigt an Beispielen zu bewegten Objekten / Volker Schwieger (2005)PermalinkQuantification de la vapeur d'eau troposphérique par GPS (modèles 2D et tomographies 3D) - Application aux précipitations intenses / Cédric Champollion (2005)PermalinkRobust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data / Lorenzo Bruzzone in IEEE Transactions on geoscience and remote sensing, vol 43 n° 1 (January 2005)PermalinkPermalinkA robust method for semi-automatic extraction of road centrelines using a piecewise parabolic model and least square template matching / Xiangyun Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)Permalink