Descripteur
Documents disponibles dans cette catégorie (1693)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
Etendre la recherche sur niveau(x) vers le bas
Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison / H. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)
![]()
[article]
Titre : Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison Type de document : Article/Communication Auteurs : H. Liu, Auteur ; Q. Zhou, Auteur Année de publication : 2004 Article en page(s) : pp 1037 - 1050 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification
[Termes IGN] détection de changement
[Termes IGN] estimation de précision
[Termes IGN] image multitemporelle
[Termes IGN] Kappa de Cohen
[Termes IGN] zone urbaineRésumé : (Auteur) Accuracy assessment for remote sensing classification is commonly based on using an error matrix, or confusion table, which needs reference, or 'ground truthing', data to support. When undertaking change detection using numerous multi-temporal images, it is often difficult to make the accuracy assessment by the 'traditional' method, which typically requires simultaneous collection of reference data. In this study, we propose a new approach by arguing change rationality with post-classification comparison. Multitemporal Landsat TM images were classified for land use in an urban fringe area of Beijing, China and the post-classification comparison of these classified images shows change trajectories through the time series. These change trajectories were then analysed by assessing their rationality against a set of logical rules to separate cases of 'real land use change' and possible classification errors. The analvsis results show that the overall accuracy for land use change in the urban fringe area was 86%, with a fuzziness of 7%. Although it is argued that the uncertainty, still exists on classification accuracy assessed by this method. It nevertheless provides an alternative approach for more reasonable assessment when ideal simultaneous 'ground truthing' is not available. Numéro de notice : A2004-081 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000150004 En ligne : https://doi.org/10.1080/0143116031000150004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26609
in International Journal of Remote Sensing IJRS > vol 25 n° 5 (March 2004) . - pp 1037 - 1050[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Automated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptative thresholding methods / H. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)
![]()
[article]
Titre : Automated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptative thresholding methods Type de document : Article/Communication Auteurs : H. Liu, Auteur ; K.C. Jezek, Auteur Année de publication : 2004 Article en page(s) : pp 937 - 958 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] courbe de Gauss
[Termes IGN] détection de contours
[Termes IGN] extraction automatique
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] image satellite
[Termes IGN] littoral
[Termes IGN] segmentation d'image
[Termes IGN] seuillage d'image
[Termes IGN] trait de côteRésumé : (Auteur) This paper presents a comprehensive approach to effectively and accurately extract coastlines from satellite imagery. It consists of a sequence of image processing algorithms, in which the key component is image segmentation based on a locally adaptive thresholding technique. Several technical innovations have been made to improve the accuracy and efficiency for determining the land/ water boundaries. The use of the Levenberg-Marquardt method and the Canny edge detector speeds up the convergence of iterative Gaussian curve fitting process and improves the accuracy of the bimodal Gaussian parameters. The result is increased reliability of local thresholds for image segmentation. A series of further image processing steps are applied to the segmented images. Particularly, grouping and labelling contiguous image regions into individual image objects enables us to utilize heuristic human knowledge about the size and continuity of the land and ocean masses to discriminate the true coastline from other object boundaries. The final product of our processing chain is a vector-based line coverage of the coastline, which can be readily incorporated into a GIS database. Our method has been applied to both radar and optical satellite images, and the positional precision of the resulting coastline is measured at the pixel level. Numéro de notice : A2004-077 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000139890 En ligne : https://doi.org/10.1080/0143116031000139890 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26605
in International Journal of Remote Sensing IJRS > vol 25 n° 5 (March 2004) . - pp 937 - 958[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt G-WMAP: a statistical speckle filter operating in the wavelet domain / S. Solbo in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)
![]()
[article]
Titre : G-WMAP: a statistical speckle filter operating in the wavelet domain Type de document : Article/Communication Auteurs : S. Solbo, Auteur ; T. Eltoft, Auteur Année de publication : 2004 Article en page(s) : pp 1019 - 1036 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] filtrage du rayonnement
[Termes IGN] filtre de déchatoiement
[Termes IGN] image Radarsat
[Termes IGN] ondelette
[Termes IGN] radar à antenne synthétiqueRésumé : (Auteur) In this paper we introduce the g-WMAP filter. a wa~elet based equivalent to the classical g-MAP filter. We model speckle as additive signaldependent noise, and propose to use the normal inverse Gaussian (NIG) distribution as a statistical model for the wavelet coefficients of both the reflectance image and the noise image. A method for estimating the parameters of the proposed statistical models is presented, and we show that the NIG distribution makes excellent fits to the distributions of the wavelet coefficients of single-look synthetic aperture radar (SAR) images. The performance of the g-WMAP filter is tested on three single-look SAR images. We find that when the filter is used in a global mode it may severely blur the image. However, when applied in a local, adaptive mode the new algorithm has excellent de-speckling performance. Visual comparisons with the g-MAP filter show that g-WMAP tends to give better de-speckling. Quantitative comparisons in homogeneous regions using both the equivalent number of looks and the log standard deviation as measures definitely show that the g-WMAP gives better speckle filtering. Numéro de notice : A2004-080 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000150040 En ligne : https://doi.org/10.1080/0143116031000150040 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26608
in International Journal of Remote Sensing IJRS > vol 25 n° 5 (March 2004) . - pp 1019 - 1036[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt vol 66 n° 2 - March 2004 (Bulletin de Graphical models)
[n° ou bulletin]
Titre : vol 66 n° 2 - March 2004 Type de document : Périodique Année de publication : 2004 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image Numéro de notice : 095-0402 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=14358 [n° ou bulletin]Automated classification of aerial photographs: detection of forest borders and single trees / André Dufour in Geoinformatics, vol 7 n° 2 (01/03/2004)
[article]
Titre : Automated classification of aerial photographs: detection of forest borders and single trees Type de document : Article/Communication Auteurs : André Dufour, Auteur ; Y. Lopez, Auteur ; J. Lamas, Auteur ; V. Barbezat, Auteur ; J. Jacot, Auteur Année de publication : 2004 Article en page(s) : pp 8 - 11 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] arbre (flore)
[Termes IGN] détection de changement
[Termes IGN] détection de contours
[Termes IGN] forêt
[Termes IGN] Jura, massif du
[Termes IGN] photographie aérienne
[Termes IGN] photographie numérique
[Termes IGN] SuisseRésumé : (Auteur) Aerial photographs are often used in forestry for stand mapping and spatio-temporal landscape dynamics analysis with management perspective. They are preferred to satellite imagery because they are available in time series and are high-resotufion data, more easily accessible to forest managers. Up to now aerial photographs have been analysed by photo-interpreters. This is a time-consuming, laborious, expensive task and repticability of the method depends on the operator. The Swiss Federal Research Institute WSL and the Laboratoire de Production Microtechnique-EPFL are working on aerial photograph analysis automation with the aim to develop a software detecting forest outlines and recognising single-tree location and size on digitised aerial photographs. Numerous applications appear possible : calculating forest cover percentage, monitoring spatio-temporal changes of forest areas or the evolution of single tree radius classes. We explain how the software DENDROS works, and present an application in the Jura Mountains in Switzerland. Numéro de notice : A2004-118 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26645
in Geoinformatics > vol 7 n° 2 (01/03/2004) . - pp 8 - 11[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 262-04021 SL Revue Centre de documentation Revues en salle Disponible Automating the analysis of remotely sensed data / C. Skelsey in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 3 (March 2004)
PermalinkA 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)
PermalinkPermalinkEffets radiométriques en milieu urbain à grande échelle et correction des ombres / Gilles Martinoty in Géomatique expert, n° 32 (01/03/2004)
PermalinkKaiser filter for antialiasing in digital photogrammetry / Kourosh Khoshelham in Photogrammetric record, vol 19 n° 105 (March - May 2004)
PermalinkUsing maximum likelihood (ML) and maximum a prior probability (MAP) in iterative self-organizing data (Isodata) / Hassan A. Karimi in Geocarto international, vol 19 n° 1 (March - May 2004)
PermalinkEffect of grain size on remotely sensed spectral reflectance of sandy desert surfaces / G.S. Okin in Remote sensing of environment, vol 89 n° 3 (15/02/2004)
PermalinkAn artificial neural network approach for landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas / M.K. Arora in International Journal of Remote Sensing IJRS, vol 25 n° 3 (February 2004)
Permalinkvol 66 n° 1 - January 2004 (Bulletin de Graphical models)
PermalinkComparing 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)
Permalink