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The use of remote sensing techniques and empirical tectonic models for inference of geological structures: bridging from regional to local scales / P.C. Fernandes Da Silva in Remote sensing of environment, vol 96 n° 1 (15/05/2005)
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Titre : The use of remote sensing techniques and empirical tectonic models for inference of geological structures: bridging from regional to local scales Type de document : Article/Communication Auteurs : P.C. Fernandes Da Silva, Auteur ; J.C. Cripps, Auteur ; S.M. Wise, Auteur Année de publication : 2005 Article en page(s) : pp 18 - 36 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] appariement de formes
[Termes IGN] détection de contours
[Termes IGN] estimation statistique
[Termes IGN] image Landsat-TM
[Termes IGN] jeu de données localisées
[Termes IGN] linéament
[Termes IGN] photo-interprétation
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] structure géologiqueRésumé : (Auteur) Practical and economie constraints prompt the need of obtaining structural geological information with reduced field effort. This paper prescrits a methodological strategy for deriving such information from remotely sensed (RS) images coupled with empirical tectonic models as a way of bridging from regional to local scales. The hypothesis that spatial organisation displayed by small-scale tectonic structures (and not only the large ones) could be correlated with the arrangement of natural linear features observed on RS imagery to allow inferences on the local geological structure was tested. Azimuth direction and subsidiarily length were found to be the most appropriate attributes for spatial characterisation and comparative analyses of line sets. Inferences made of tectonic structures and respective directional arrangements were based on a combination of qualitative (visual analysis of histograms) and statistical methods (non-parametric goodness-of-fit tests). The numerical evaluation of the results of tests expressed in terms of average degree of matching (91% to 95%) and errors (5% of omission errors and 31.2% of commission errors) showed a reasonable efficiency of the inferential approach in predicting the structural geological settings in lithological units as well as in mid-size areas (50 to 80 km 2 approximately). Potential applications of the inferential approach in terrain evaluation schemes, particularly for planning and engineering-related purposes, are envisaged. Numéro de notice : A2005-210 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.01.007 En ligne : https://doi.org/10.1016/j.rse.2005.01.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27347
in Remote sensing of environment > vol 96 n° 1 (15/05/2005) . - pp 18 - 36[article]Neural network model for standard PCA and its variants applied to remote sensing / S. Chitroub in International Journal of Remote Sensing IJRS, vol 26 n° 10 (May 2005)
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Titre : Neural network model for standard PCA and its variants applied to remote sensing Type de document : Article/Communication Auteurs : S. Chitroub, Auteur Année de publication : 2005 Article en page(s) : pp 2197 - 2218 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes principales
[Termes IGN] apprentissage automatique
[Termes IGN] extraction automatique
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] matrice de covariance
[Termes IGN] modèle topologique réseau
[Termes IGN] réseau neuronal artificiel
[Termes IGN] valeur propreRésumé : (Auteur) The conventional approach for principal component analysis (PCA) and its variants applied to remote sensing involves the computation of the input data covariance/correlation matrix and/or that of noise and application of diagonalization procedures for extracting the eigenvalues and corresponding eigenvectors. When the data dimension grows significantly, the matrix computations and manipulations become practically inefficient and inaccurate due to round-off errors. In addition, all the eigenvalues and their corresponding eigenvectors have to be evaluated. These deficiencies make the conventional scheme inefficient for remote sensing applications. For that we propose here a neural network model that performs the PCA and its variants directly from the original data without any additional non-neuronal computations or preliminary matrix estimation. Since the end user is usually not a neural network specialist, the neural network model as well as its execution are carefully designed in order to be automated as much as possible. This includes both the design of the network topology and the input/output representation as well as the design of the training algorithms. The global convergence of the model is studied. Its application has been realized on Landsat Thematic Mapper (TM) multispectral data. The obtained results show that the model performs well. Numéro de notice : A2005-260 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500075899 En ligne : https://doi.org/10.1080/01431160500075899 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27396
in International Journal of Remote Sensing IJRS > vol 26 n° 10 (May 2005) . - pp 2197 - 2218[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-05101 RAB Revue Centre de documentation En réserve L003 Disponible A robust technique for precise registration of radar and optical satellite images / T.D. Hong in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 5 (May 2005)
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Titre : A robust technique for precise registration of radar and optical satellite images Type de document : Article/Communication Auteurs : T.D. Hong, Auteur ; R.A. Schowengerdt, Auteur Année de publication : 2005 Article en page(s) : pp 585 - 593 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] contour
[Termes IGN] fusion de données
[Termes IGN] gradient
[Termes IGN] image ERS-SAR
[Termes IGN] image Landsat-TM
[Termes IGN] image multicapteur
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] intégration de données
[Termes IGN] méthode robuste
[Termes IGN] point de canevas
[Termes IGN] précision des données
[Termes IGN] scène
[Termes IGN] superposition d'imagesRésumé : (Auteur) Combining data from different sensors for visual or classification analysis is a common task in remote sensing. The first step is normally to register the images which may be considered geometric integration; the accuracy of this step is important to create a valuable final hybrid image. This paper addresses geometric integration and introduces a new method for automatically registering two dissimilar images, such as, a radar image and an optical image with high accuracy. Pre-registration of the two images to within a specified tolerance is required. In our examples, this tolerance is up to 17 pixels (at the scale of the higher resolution image) and may be achieved by, for example, visually located control points. The described approach then uses large-scale edge gradient contours in a process that automatically locates candidate control points on the contours. The points are selected using a cost function that measures the degree of match between all possible pairs of points. Numerous control points (typically around 50 pairs) are found from matched pairs of gradient contours and use in a global, rubber sheet, polynomial warp to refine the registration. This approach is applied to register a Synthetic Aperture Radar (SAR) image (ERS2, 12.5 m pixels) and a Thematic Mapper (TM) optical image (Landsat-5, 28.5 m pixels) automatically. Several examples with different scene content are shown to validate the approach and discussed in terms of residual registration error and processing efficiency. Numéro de notice : A2005-181 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : https://doi.org/10.14358/PERS.71.5.585 En ligne : https://doi.org/10.14358/PERS.71.5.585 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27318
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 5 (May 2005) . - pp 585 - 593[article]A comparison of local variance, fractal dimension, and Moran's index as aids to multispectral image classification / C.W. Emerson in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
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Titre : A comparison of local variance, fractal dimension, and Moran's index as aids to multispectral image classification Type de document : Article/Communication Auteurs : C.W. Emerson, Auteur ; N. Siu-Ngan Lam, Auteur ; D.A. Quattrochi, Auteur Année de publication : 2005 Article en page(s) : pp 1575 - 1588 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] Atlanta (Géorgie)
[Termes IGN] autocorrélation spatiale
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] ERDAS Imagine
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] segmentation d'image
[Termes IGN] texture d'imageRésumé : (Auteur) The accuracy of traditional multispectral maximum-likelihood image classification is limited by the multi-modal statistical distributions of digital numbers from the complex, heterogenous mixture of land cover types in urban areas. This work examines the utility of local variance, fractal dimension and Moran's I index of spatial autocorrelation in segmenting multispectral satellite imagery with the goal of improving urban land cover classification accuracy. Tools available in the ERDAS Imagine™ software package and the Image Characterization and Modeling System (ICAMS) were used to analyse Landsat ETM+ imagery of Atlanta, Georgia. Images were created from the ETM+ panchromatic band using the three texture indices. These texture images were added to the stack of multispectral bands and classified using a supervised, maximum likelihood technique. Although each texture band improved the classification accuracy over a multispectral only effort, the addition of fractal dimension measures is particularly effective at resolving land cover classes within urbanized areas, as compared to per-pixel spectral classification techniques. Numéro de notice : A2005-204 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331326765 En ligne : https://doi.org/10.1080/01431160512331326765 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27341
in International Journal of Remote Sensing IJRS > vol 26 n° 8 (April 2005) . - pp 1575 - 1588[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Landsat-7 ETM+ radiometric normalization comparison for northern mapping application / I. Olthof in Remote sensing of environment, vol 95 n° 3 (15/04/2005)
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Titre : Landsat-7 ETM+ radiometric normalization comparison for northern mapping application Type de document : Article/Communication Auteurs : I. Olthof, Auteur ; D. Pouliot, Auteur ; R. Fernandes, Auteur ; R. Latifovic, Auteur Année de publication : 2005 Article en page(s) : pp 388 - 398 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] cartographie numérique
[Termes IGN] correction radiométrique
[Termes IGN] image Landsat-ETM+
[Termes IGN] image SPOT-Végétation
[Termes IGN] méthode robuste
[Termes IGN] mosaïque d'images
[Termes IGN] propagation d'erreur
[Termes IGN] régressionRésumé : (Auteur) Relative radiometric normalization has long been performed to generate consistency among individual Landsat scenes for production of composites containing multiple scenes. Normalization methods have relied on matching identical and assumed invariant features in both images of an overlapping pair, or on invariant targets that are not necessarily the same features. Problems with overlap normalization methods include sensitivity to outliers in overlap data caused by atmospheric or land cover change between scenes, which can lead to radiometric error propagation across a mosaic caused by a normalized scene becoming a reference for the subsequent scene entered into the mosaic. Solutions to such problems include interactive outlier removal to generate a normalization function using a 'no change' data set and methods that are robust against outliers to automatically generate normalization functions with minimal user input. This paper compares two normalization methods that use a robust regression technique called Theil-Sen with an established overlap normalization method. The first method uses Theil-Sen regression to generate a normalization function between overlap regions, while the second uses Theil-Sen to normalize to coarse-resolution composite reflectance data from the SPOT VEGETATION (VGT) sensor. The results of the normalizations were evaluated in two ways: (1) using statistics generated between overlap regions; and (2) separately using coarse-resolution data as a reference. Both overlap normalization methods performed almost identically; however, Theil-Sen was faster and easier to implement than its traditional counterpart due to its insensitivity to outliers and capability for full automation. While overlap and coarse-resolution normalizations each outperformed the other when evaluated against its calibration set, error propagation caused by outliers in overlap samples was avoided in the normalization to coarse-resolution imagery. Advantages offered by normalization to coarse-resolution data using robust regression, including full automation, make this method particularly attractive for generation of large area mosaics containing 100 Landsat scenes or more. Numéro de notice : A2005-171 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.06.024 En ligne : https://doi.org/10.1016/j.rse.2004.06.024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27309
in Remote sensing of environment > vol 95 n° 3 (15/04/2005) . - pp 388 - 398[article]Signature extension through space for northern landcover classification: a comparison of radiometric correction methods / I. Olthof in Remote sensing of environment, vol 95 n° 3 (15/04/2005)
PermalinkApplication of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data / S. Lee in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)
PermalinkExtension of retrospective datasets using multiple sensors: an approach to radiometric intercalibration of Landsat TM and MSS data / Arno Röder in Remote sensing of environment, vol 95 n° 2 (30/03/2005)
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)
PermalinkApport du Short Waves InfraRed (SWIR) de Landsat pour la cartographie géologique en zone aride : exemple de l'Androy (Sud de Madagascar) / J.P. Deroin in Photo interprétation, vol 41 n° 1 (Mars 2005)
PermalinkMapping tropical forest structure in south-eastern Madagascar using remote sensing and artificial neural networks / J.C. Ingram in Remote sensing of environment, vol 94 n° 4 (28/02/2005)
PermalinkA global analysis urban reflectance / C. Small in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 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)
PermalinkPerformance of different spectral and textural photograph features in multi-source forest inventory / Sakari Tuominen in Remote sensing of environment, vol 94 n° 2 (30/01/2005)
PermalinkClassifying depth-layered geological structures on Landsat TM images by gravity data: a case study of the western slope of Songliao Basin, northeast China / Shuli Chen in International Journal of Remote Sensing IJRS, vol 26 n° 2 (January 2005)
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