IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) . vol 47 n° 2Mention de date : February 2009 Paru le : 01/02/2009 ISBN/ISSN/EAN : 0196-2892 |
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est un bulletin de IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) (1986 -)
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Ajouter le résultat dans votre panierPerformance of stereoradargrammetric methods applied to spaceborne monostatic-bistatic synthetic aperture radar / Alfredo Renga in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)
[article]
Titre : Performance of stereoradargrammetric methods applied to spaceborne monostatic-bistatic synthetic aperture radar Type de document : Article/Communication Auteurs : Alfredo Renga, Auteur ; Antonio Moccia, Auteur Année de publication : 2009 Article en page(s) : pp 544 - 560 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse de sensibilité
[Termes IGN] image satellite
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle stéréoscopique
[Termes IGN] radar à antenne synthétique
[Termes IGN] radargrammétrieRésumé : (Auteur) This paper aims to investigate the performance of stereoradargrammetric methods applied to spaceborne monostatic–bistatic synthetic aperture radar (SAR) data for digital elevation model (DEM) generation. Stereoradargrammetric techniques for robust DEM generation were successfully experienced on monostatic repeat-pass SIR-A, SIR-B, SIR-C/X-SAR, ERS1/2, JERS-1, and Radarsat data. However, novel configurations achievable by modern spacecraft flying in formation will allow for the attainment of very large baselines between the antennas in a single-pass bistatic geometry so that the height determination accuracy can benefit from both stereo effect and simultaneous acquisition. Five models for relief reconstruction by monostatic–bistatic SAR stereoradargrammetry are presented, and an error budget is assessed for each of them. Results of the sensitivity analysis exhibit metric accuracy, and therefore, the technique could be applied for height reconstruction as a methodology complementary to SAR interferometry. Copyright IEEE Numéro de notice : A2009-022 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2003184 En ligne : https://doi.org/10.1109/TGRS.2008.2003184 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29652
in IEEE Transactions on geoscience and remote sensing > vol 47 n° 2 (February 2009) . - pp 544 - 560[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-09021 RAB Revue Centre de documentation En réserve L003 Disponible Radiometric Calibration of LIDAR Intensity With Commercially Available Reference Targets / S. Kaasalainen in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)
[article]
Titre : Radiometric Calibration of LIDAR Intensity With Commercially Available Reference Targets Type de document : Article/Communication Auteurs : S. Kaasalainen, Auteur ; Juha Hyyppä, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 588 - 598 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection de cible
[Termes IGN] données lidar
[Termes IGN] étalonnage radiométrique
[Termes IGN] intensité lumineuse
[Termes IGN] Lidar
[Termes IGN] luminance lumineuse
[Termes IGN] objet géographique ponctuel
[Termes IGN] réflectance
[Termes IGN] rétrodiffusionRésumé : (Auteur) We present a new approach for radiometric calibration of light detection and ranging (LIDAR) intensity data and demonstrate an application of this method to natural targets. The method is based on 1) using commercially available sand and gravel as reference targets and 2) the calibration of these reference targets in the laboratory conditions to know their backscatter properties. We have investigated the target properties crucial for accurate and consistent reflectance calibration and present a set of ideal targets easily available for calibration purposes. The first results from LIDAR-based brightness measurement of grass and sand show that the gravel-based calibration approach works in practice, is cost effective, and produces statistically meaningful results: Comparison of results from two separate airborne laser scanning campaigns shows that the relative calibration produces repeatable reflectance values. Copyright IEEE Numéro de notice : A2009-023 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2003351 En ligne : https://doi.org/10.1109/TGRS.2008.2003351 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29653
in IEEE Transactions on geoscience and remote sensing > vol 47 n° 2 (February 2009) . - pp 588 - 598[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-09021 RAB Revue Centre de documentation En réserve L003 Disponible Qualitative spatial reasoning for high-resolution remote sensing image analysis / Jordi Inglada in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)
[article]
Titre : Qualitative spatial reasoning for high-resolution remote sensing image analysis Type de document : Article/Communication Auteurs : Jordi Inglada, Auteur ; Jérôme Michel, Auteur Année de publication : 2009 Article en page(s) : pp 599 - 612 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image numérique
[Termes IGN] appariement de graphes
[Termes IGN] connexité (graphes)
[Termes IGN] détection automatique
[Termes IGN] image à haute résolution
[Termes IGN] objet géographique complexe
[Termes IGN] raisonnement spatial
[Termes IGN] relation topologiqueRésumé : (Auteur) High-resolution (HR) remote-sensing images allow us to access new kinds of information. Classical techniques for image analysis, such as pixel-based classifications or region-based segmentations, do not allow to fully exploit the richness of this kind of images. Indeed, for many applications, we are interested in complex objects which can only be identified and analyzed by studying the relationships between the elementary objects which compose them. In this paper, the use of a spatial reasoning technique called region connection calculus for the analysis of HR remote-sensing images is presented. A graph-based representation of the spatial relationships between the regions of an image is used within a graph-matching procedure in order to implement an object detection algorithm. Numéro de notice : A2009-024 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2003435 En ligne : https://doi.org/10.1109/TGRS.2008.2003435 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29654
in IEEE Transactions on geoscience and remote sensing > vol 47 n° 2 (February 2009) . - pp 599 - 612[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-09021 RAB Revue Centre de documentation En réserve L003 Disponible Efficient shadow detection of color aerial images based on successive thresholding scheme / K.L. Chung in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)
[article]
Titre : Efficient shadow detection of color aerial images based on successive thresholding scheme Type de document : Article/Communication Auteurs : K.L. Chung, Auteur ; Y. Lin, Auteur Année de publication : 2009 Article en page(s) : pp 671 - 682 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] détection d'ombre
[Termes IGN] image aérienne
[Termes IGN] image en couleur
[Termes IGN] seuillage d'image
[Termes IGN] teinteRésumé : (Auteur) Recently, Tsai presented an efficient algorithm which uses the ratio value of the hue over the intensity to construct the ratio map for detecting shadows of color aerial images. Instead of only using the global thresholding process in Tsai's algorithm, this paper presents a novel successive thresholding scheme (STS) to detect shadows more accurately. In our proposed STS, the modified ratio map, which is obtained by applying the exponential function to the ratio map proposed by Tsai, is presented to stretch the gap between the ratio values of shadow and nonshadow pixels. By performing the global thresholding process on the modified ratio map, a coarse-shadow map is constructed to classify the input color aerial image into the candidate shadow pixels and the nonshadow pixels. In order to detect the true shadow pixels from the candidate shadow pixels, the connected component process is first applied to the candidate shadow pixels for grouping the candidate shadow regions. For each candidate shadow region, the local thresholding process is performed iteratively to extract the true shadow pixels from the candidate shadow region. Finally, for the remaining candidate shadow regions, a fine-shadow determination process is applied to identify whether each remaining candidate shadow pixel is the true shadow pixel or not. Under six testing images, experimental results show that, for the first three testing images, both Tsai's and our proposed algorithms have better detection performance than that of the algorithm of Huang , and the shadow detection accuracy of our proposed STS-based algorithm is comparable to Tsai's algorithm. For the other three testing images, which contain some low brightness objects, our proposed algorithm has better shadow detection accuracy when compared with the previous two shadow detection algorithms proposed by Huang and Tsai. Copyright IEEE Numéro de notice : A2009-025 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2004629 En ligne : https://doi.org/10.1109/TGRS.2008.2004629 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29655
in IEEE Transactions on geoscience and remote sensing > vol 47 n° 2 (February 2009) . - pp 671 - 682[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-09021 RAB Revue Centre de documentation En réserve L003 Disponible Using ENVISAT ASAR global mode data for surface soil moisture retrieval over Oklahoma, USA / Carsten Pathe in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)
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Titre : Using ENVISAT ASAR global mode data for surface soil moisture retrieval over Oklahoma, USA Type de document : Article/Communication Auteurs : Carsten Pathe, Auteur ; W. Wagner, Auteur ; D. Sabel, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 468 - 480 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] bande C
[Termes IGN] bruit (théorie du signal)
[Termes IGN] diffusométrie
[Termes IGN] filtrage du bruit
[Termes IGN] humidité du sol
[Termes IGN] image Envisat-ASAR
[Termes IGN] image ERS-SAR
[Termes IGN] Oklahoma (Etats-Unis)Résumé : (Auteur) The advanced synthetic aperture radar (ASAR) onboard of the satellite ENVISAT can be operated in global monitoring (GM) mode. ASAR GM mode has delivered the first global multiyear C-band backscatter data set in HH polarization at a spatial resolution of 1 km. This paper investigates if ASAR GM can be used for retrieving soil moisture using a change detection approach over large regions. A method previously developed for the European Remote Sensing (ERS) scatterometer is adapted for use with ASAR GM and tested over Oklahoma, USA. The ASAR-GM-derived relative soil moisture index is compared to 50-km ERS soil moisture data and pointlike in situ measurements from the Oklahoma MESONET. Even though the scale gap from ASAR GM to the in situ measurements is less pronounced than in the case of the ERS scatterometer, the correlation for ASAR against the in situ measurements is, in general, somewhat weaker than for the ERS scatterometer. The analysis suggests that this is mainly due to the much higher noise level of ASAR GM compared to the ERS scatterometer. Therefore, some spatial averaging to 3-10 km is recommended to reduce the noise of the ASAR GM soil moisture images. Nevertheless, the study demonstrates that ASAR GM allows resolving spatial details in the soil moisture patterns not observable in the ERS scatterometer measurements while still retaining the basic capability of the ERS scatterometer to capture temporal trends over large areas. Copyright IEEE Numéro de notice : A2009-148 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2004711 En ligne : https://doi.org/10.1109/TGRS.2008.2004711 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29778
in IEEE Transactions on geoscience and remote sensing > vol 47 n° 2 (February 2009) . - pp 468 - 480[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-09021 RAB Revue Centre de documentation En réserve L003 Disponible