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SRTM resample with short distance-low nugget kriging / C.H. Grohmann in International journal of geographical information science IJGIS, vol 22 n° 8-9 (august 2008)
[article]
Titre : SRTM resample with short distance-low nugget kriging Type de document : Article/Communication Auteurs : C.H. Grohmann, Auteur ; S.S. Steiner, Auteur Année de publication : 2008 Article en page(s) : pp 895 - 806 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] géostatistique
[Termes IGN] image radar moirée
[Termes IGN] image SRTM
[Termes IGN] interpolation
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] krigeage
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] radargrammétrie
[Termes IGN] rééchantillonnage
[Termes IGN] variogrammeRésumé : (Auteur) The shuttle radar topography mission (SRTM), was flow on the space shuttle Endeavour in February 2000, with the objective of acquiring a digital elevation model of all land between 60° north latitude and 56° south latitude, using interferometric synthetic aperture radar (InSAR) techniques. The SRTM data are distributed at horizontal resolution of 1 arc-second (?30 m) for areas within the USA and at 3 arc-second (?90 m) resolution for the rest of the world. A resolution of 90 m can be considered suitable for the small or medium-scale analysis, but it is too coarse for more detailed purposes. One alternative is to interpolate the SRTM data at a finer resolution; it will not increase the level of detail of the original digital elevation model (DEM), but it will lead to a surface where there is the coherence of angular properties (i.e. slope, aspect) between neighbouring pixels, which is an important characteristic when dealing with terrain analysis. This work intents to show how the proper adjustment of variogram and kriging parameters, namely the nugget effect and the maximum distance within which values are used in interpolation, can be set to achieve quality results on resampling SRTM data from 3” to 1”. We present for a test area in western USA, which includes different adjustment schemes (changes in nugget effect value and in the interpolation radius) and comparisons with the original 1” model of the area, with the national elevation dataset (NED) DEMs, and with other interpolation methods (splines and inverse distance weighted (IDW)). The basic concepts for using kriging to resample terrain data are: (i) working only with the immediate neighbourhood of the predicted point, due to the high spatial correlation of the topographic surface and omnidirectional behaviour of variogram in short distances; (ii) adding a very small random variation to the coordinates of the points prior to interpolation, to avoid punctual artifacts generated by predicted points with the same location than original data points and; (iii) using a small value of nugget effect, to avoid smoothing that can obliterate terrain features. Drainages derived from the surfaces interpolated by kriging and by splines have a good agreement with streams derived from the 1” NED, with correct identification of watersheds, even though a few differences occur in the positions of some rivers in flat areas. Although the 1” surfaces resampled by kriging and splines are very similar, we consider the results produced by kriging as superior, since the spline-interpolated surface still presented some noise and linear artifacts, which were removed by kriging. Copyright Taylor & Francis Numéro de notice : A2008-307 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 13658810701730152 En ligne : https://doi.org/10.1080/13658810701730152 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29300
in International journal of geographical information science IJGIS > vol 22 n° 8-9 (august 2008) . - pp 895 - 806[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-08051 RAB Revue Centre de documentation En réserve L003 Disponible 079-08052 RAB Revue Centre de documentation En réserve L003 Disponible Urban change detection based on coherence and intensity characteristics of SAR imagery / M. Liao in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 8 (August 2008)
[article]
Titre : Urban change detection based on coherence and intensity characteristics of SAR imagery Type de document : Article/Communication Auteurs : M. Liao, Auteur ; L. Jiang, Auteur ; H. Lin, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 999 - 1006 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse diachronique
[Termes IGN] cohérence (physique)
[Termes IGN] croissance urbaine
[Termes IGN] détection de changement
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image ERS-SAR
[Termes IGN] image multitemporelle
[Termes IGN] image radar moirée
[Termes IGN] intensité lumineuse
[Termes IGN] radargrammétrie
[Termes IGN] seuillage d'image
[Termes IGN] Shanghai (Chine)Résumé : (Auteur) In this paper, an unsupervised change-detection approach was proposed to detect new urban areas from multi-temporal SAR images. The novelty of the proposed approach is the joint use of coherence and intensity characteristics of SAR imagery. The approach involves two main steps: (a) the extraction of difference feature containing information on changed areas, and (b) the unsupervised two-dimensional (2D) thresholding. First, two difference features based on the concepts of long-term coherence and backscattering temporal variability are extracted from a series of multitemporal SAR images. Then, the resulting features that represent the INSAR signal temporal variability of changed areas are merged, and a 2D thresholding technique based on the maximum 2D Renyi’s entropy criterion is developed to obtain the change-detection results. The effectiveness of the proposed approach is confirmed with experimental results obtained from a set of six ERS-1/2 SLC SAR images acquired in Shanghai, China. Copyright ASPRS Numéro de notice : A2008-329 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.8.999 En ligne : https://doi.org/10.14358/PERS.74.8.999 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29322
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 8 (August 2008) . - pp 999 - 1006[article]Uplift and subsidence due to the 26 December 2004 Indonesian earthquake detected by SAR data / Marco Chini in International Journal of Remote Sensing IJRS, vol 29 n°13-14 (July 2008)
[article]
Titre : Uplift and subsidence due to the 26 December 2004 Indonesian earthquake detected by SAR data Type de document : Article/Communication Auteurs : Marco Chini, Auteur ; C. Bignami, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 3891 - 3910 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] déformation verticale de la croute terrestre
[Termes IGN] dommage matériel
[Termes IGN] données GPS
[Termes IGN] image Envisat-ASAR
[Termes IGN] image ERS-SAR
[Termes IGN] image radar
[Termes IGN] Indonésie
[Termes IGN] radargrammétrie
[Termes IGN] séisme
[Termes IGN] subsidenceRésumé : (Auteur) The Indonesian earthquake took place on 26 December 2004 at 00:58 GMT (moment magnitude 9.3) in the Indian Ocean, offshore the west coast of Sumatra, at a depth of about 30km. This earthquake is one of the largest of the past 100 years, comparable only with those in Chile (1960) and Alaska (1964). The earthquake originated in the subduction zone of the Indian and Burma plates, moving at a relative velocity of 6 cm/year. The aftershocks were distributed along a plate boundary of about 1000-1300 km between Sumatra and the Andaman Islands. Some hours after the earthquake a destructive tsunami followed and hit the coastlines of the surrounding regions, causing widespread destruction in Indonesia, India, Thailand and Sri Lanka. The European Space Agency (ESA) made available a data package composed of European Remote Sensing Satellite Synthetic Aperture Radar (ERS-SAR) and Environment Satellite Advanced SAR (ENVISAT-ASAR) data covering the affected area, acquired before (four acquisition dates) and after (five acquisition dates) the earthquake. A total of 26 frames were analysed. We used this dataset to evaluate the effects of the earthquake and tsunami on the human settlements and the physiographic conditions along the coast. The proposed method is based on a visual comparison between pre- and post-seismic SAR intensity images, and on an analysis of their correlation coefficients. No complex data were made available by the ESA to exploit phase coherence. Analysis of pre- and post-earthquake SAR backscattering showed wide uplift areas between the Andaman Islands and Simeulue Island, and large modifications of the coastline of Sumatra. Subsiding areas were detected along the southeast coast of Andaman up to the west coast of Nicobar Island. Tidal effects were filtered out of the SAR images to identify the consequences of the earthquake. Global Positioning System (GPS) stations in the Andaman provided results confirming the surface displacement pattern detected by SAR. The analysis enabled us to draw a boundary line separating the uplift and subsidence. Copyright Taylor & Francis Numéro de notice : A2008-533 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701871112 En ligne : https://doi.org/10.1080/01431160701871112 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29603
in International Journal of Remote Sensing IJRS > vol 29 n°13-14 (July 2008) . - pp 3891 - 3910[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-08091 RAB Revue Centre de documentation En réserve L003 Disponible Retrieval of surface roughness using multi-polarized Envisat-1 ASAR data / H.s Srivastava in Geocarto international, vol 23 n° 1 (February - March 2008)
[article]
Titre : Retrieval of surface roughness using multi-polarized Envisat-1 ASAR data Type de document : Article/Communication Auteurs : H.s Srivastava, Auteur ; P. Patel, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 67 - 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] distribution spatiale
[Termes IGN] données polarimétriques
[Termes IGN] image Envisat-ASAR
[Termes IGN] polarimétrie radar
[Termes IGN] polarisation
[Termes IGN] radargrammétrie
[Termes IGN] rétrodiffusion
[Termes IGN] rugosité du solRésumé : (Auteur) Spatial distribution of surface roughness is very critical information for many application areas. Surface roughness is often characterized using statistical distribution. However, due to the huge complexity associated with spatial soil surfaces it is difficult to accurately characterize surface roughness over large areas using statistical distribution. Surface roughness influences SAR backscatter significantly and therefore for bare soil surfaces, surface roughness plays a critical role in determining the degree of depolarization of the SAR signal. In this paper, surface roughness is retrieved using multi-polarized Envisat-1 ASAR data. The depolarization ratio [ó°VH - ó°VV] has been found to be very sensitive to surface roughness. This study demonstrates an approach that can be used to retrieve quantitative surface roughness values from a space platform without making any assumptions regarding distribution of surface roughness on the ground. Copyright Taylor & Francis Numéro de notice : A2008-022 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701538157 Date de publication en ligne : 06/12/2007 En ligne : https://doi.org/10.1080/10106040701538157 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29017
in Geocarto international > vol 23 n° 1 (February - March 2008) . - pp 67 - 77[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-08011 RAB Revue Centre de documentation En réserve L003 Disponible Detection and discrimination between oil spills and look-alike phenomena through neural networks / Konstantinos Topouzelis in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)
[article]
Titre : Detection and discrimination between oil spills and look-alike phenomena through neural networks Type de document : Article/Communication Auteurs : Konstantinos Topouzelis, Auteur ; V. Karathanassi, Auteur ; P. Pavlakis, Auteur ; D. Rokos, Auteur Année de publication : 2007 Article en page(s) : pp 264 - 270 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse discriminante
[Termes IGN] classification par réseau neuronal
[Termes IGN] détection automatique
[Termes IGN] image radar moirée
[Termes IGN] marée noire
[Termes IGN] radargrammétrieRésumé : (Auteur) Synthetic Aperture Radar (SAR) images are extensively used for dark formation detection in the marine environment, as their recording is independent of clouds and weather. Dark formations can be caused by man made actions (e.g. oil spill discharging) or natural ocean phenomena (e.g. natural slicks, wind front areas). Radar backscatter values for oil spills are very similar to backscatter values for very calm sea areas and other ocean phenomena because they damp the capillary and short gravity sea waves. The ability of neural networks to detect dark formations in high resolution SAR images and to discriminate oil spills from look-alike phenomena simultaneously was examined. Two different neural networks are used; one to detect dark formations and the second one to perform a classification to oil spills or look-alikes. The proposed method is very promising in detecting dark formations and discriminating oil spills from look-alikes as it detects with an overall accuracy of 94% the dark formations and discriminate correctly 89% of examined cases. Numéro de notice : A2007-428 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.05.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.05.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28791
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 4 (September 2007) . - pp 264 - 270[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-07061 SL Revue Centre de documentation Revues en salle Disponible PALSAR data without ground control points / Penggen Cheng in Geoinformatics, vol 10 n° 6 (01/09/2007)PermalinkQuality assessment of SRTM C- and X-band interferometric data: Implications for the retrieval of vegetation canopy height / W.S. Walker in Remote sensing of environment, vol 106 n° 4 (28/02/2007)PermalinkArcheology and GIS in Jordan / R. Al-Ruzouq in GIM international, vol 21 n° 1 (January 2007)PermalinkChamps de Markov sur graphes pour le traitement des images radar / Florence Tupin (2007)PermalinkAnalysis of ground moving objects using SRTM/X-SAR data / S. Suchandt in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 3-4 (December 2006)PermalinkExtraction of ground control points (GCPs) from synthetic aperture radar images and SRTM DEM / S.H. Hong in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)PermalinkExploring the generation of digital elevation from same-side ERS SAR images: topographic and temporal effects / Z. Li in Photogrammetric record, vol 21 n° 114 (June - August 2006)PermalinkThe absolute positioning of spaceborne InSAR data using the integer ambiguity method / A. Swoter in Photogrammetric record, vol 21 n° 113 (March - May 2006)PermalinkElaboration de MNT par extraction de pentes topographiques de données polarimétriques / Yohann Ly (2006)PermalinkRectangular building extraction from stereoscopic airborne Radar images / Elisabeth Simonetto in IEEE Transactions on geoscience and remote sensing, vol 43 n° 10 (October 2005)Permalink