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An automatic nonlinear correlation approach for processing of hyperspectral images / R.N. Ingram in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)
[article]
Titre : An automatic nonlinear correlation approach for processing of hyperspectral images Type de document : Article/Communication Auteurs : R.N. Ingram, Auteur ; A.S. Lewis, Auteur ; R.L. Tutwiler, Auteur Année de publication : 2004 Article en page(s) : pp 4981 - 4998 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] corrélation automatique de points homologues
[Termes IGN] équation non linéaire
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] méthode robuste
[Termes IGN] traitement parallèleRésumé : (Auteur) Hyperspectral imaging technology demands sophisticated processing techniques that offer precise characterizations of complex spectral signatures. A nonlinear correlator structure is implemented for interference mitigation and object recognition. A key asset is the correlator's applicability to both the spatial (two-dimensional) and spectral (one-dimensional) domains, thus ideal for hyperspectral processing. The process consists of a standard convolution summed with a nonlinear adaptive term. The premise is the same in each case but the mathematical implementation is different. By performing the correlation calculations in the frequency domain, the processing algorithm is efficient, robust, and well suited for implementation on a parallel processing computational architecture. The nonlinear correlator depends on two parameters and an algorithm to determine these parameters based only on the input image (two-dimensional) or spectral signature (one-dimensional) is presented. Based on the results with the selected spatial and spectral templates, a target is identified and the spatial coordinates as well as the spectral signature are input to the final fusion stage, which analyses both spectral and spatial signatures for a correct target identification. Several examples are given and insights to template (mask) selection are provided. Numéro de notice : A2004-489 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160410001680455 En ligne : https://doi.org/10.1080/01431160410001680455 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27007
in International Journal of Remote Sensing IJRS > vol 25 n° 22 (November 2004) . - pp 4981 - 4998[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04201 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Automated detection of thermal features of active volcanoes by means of infrared AVHRR records / N. Pergola in Remote sensing of environment, vol 93 n° 3 (15/11/2004)
[article]
Titre : Automated detection of thermal features of active volcanoes by means of infrared AVHRR records Type de document : Article/Communication Auteurs : N. Pergola, Auteur ; F. Marchese, Auteur ; V. Tramutoli, Auteur Année de publication : 2004 Article en page(s) : pp 311 - 327 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse diachronique
[Termes IGN] anomalie thermique
[Termes IGN] détection automatique
[Termes IGN] éruption volcanique
[Termes IGN] Etna (volcan)
[Termes IGN] fiabilité des données
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image thermique
[Termes IGN] image TIROS-AVHRR
[Termes IGN] méthode robuste
[Termes IGN] prévention des risques
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] Stromboli (volcan)
[Termes IGN] surveillance géologique
[Termes IGN] tâche claire
[Termes IGN] test de performance
[Termes IGN] volcanRésumé : (Auteur) An innovative, Advanced Very High Resolution Radiometer (AVHRR)-based technique for improved automatic detection of volcanic Hotspots and thermal anomalies is proposed in this paper. It is mainly based on a multitemporal analysis of historical, long-term satellite records. Such a technique basically rests on the Robust AVHRR Techniques (RAT) approach, which has been already successfully applied to sevreral natural and environmental emergencies (e.g., fires, floods, earthquakes). In this work, the proposed technique has been tested on an extended set of eruptive events of Mt. Etna and Stromboli volcanoes. Results achieved, in terms of reliability (low false alarm rate) as well as of effectiveness (detection sensitivity), are described in detail. Moreover, the potential in low-level thermal anomaly detection, as possible pre-eruptive thermal signs, is also addressed and preliminary results obtained for a couple of events, discussed. The study cases here presented show the benefits of such a technique especially when different observational conditions (time/season of pass, atmospheric moisture content, solar illumination, satellite angles of view, etc.) are considered, making such a method globally applicable. The future prospects, also in terms of possible operational scenarios, coming from the implementation of such an approach on the new generation of satellite sensors (such as SEVIRI aboard Meteosat Second Generation) are also discussed. Numéro de notice : A2004-439 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.07.010 En ligne : https://doi.org/10.1016/j.rse.2004.07.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26959
in Remote sensing of environment > vol 93 n° 3 (15/11/2004) . - pp 311 - 327[article]Semiautomated matching for network database integration / D. Xiong in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 1-2 (August 2004 - April 2005)
[article]
Titre : Semiautomated matching for network database integration Type de document : Article/Communication Auteurs : D. Xiong, Auteur ; J. Sperling, Auteur Année de publication : 2004 Article en page(s) : pp 35 - 46 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement de réseaux
[Termes IGN] image à haute résolution
[Termes IGN] intégration de données
[Termes IGN] méthode robuste
[Termes IGN] réseau routier
[Termes IGN] système d'information géographique
[Termes IGN] traitement interactifRésumé : (Auteur) High-resolution imagery is now routinely utilized to acquire geometric and attribute data for road networks. Frequently, these data must be integrated with data from other sources to meet application requirements. A critical first step in this process at data integration is to identify the correspondences between networks, so that data can be merged or transferred from one network to another. This paper introduces a semiautomated method that combines an automated algorithm and an interactive procedure to match networks that are represented differently. The automated algorithm establishes robust correspondences for nodes edges, and segments between two networks using a cluster-based matching mechanism. The interactive procedure allows a user to visually check and correct correspondences that are mismatched by the automated algorithm. Two matching examples are presented in the paper to demonstrate the applicability of the proposed method. The results of these two matching examples illustrate that this semiautomated method is highly effective and can meet the needs of real-world applications. The automated algorithm is capable of generating reliable matching measures, resolving difficult matches, and in both cases, correctly identifying the overwhelming majority of the matching counterparts. The interactive procedure, on the other hand, is useful for checking and correcting mismatched counterparts during the early stage of the matching process, which significantly improves performance and reliability. Copyright ISPRS Numéro de notice : A2004-313 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2003.12.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2003.12.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26840
in ISPRS Journal of photogrammetry and remote sensing > vol 59 n° 1-2 (August 2004 - April 2005) . - pp 35 - 46[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-04031 RAB Revue Centre de documentation En réserve L003 Disponible Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices / A.S. Rogers in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)
[article]
Titre : Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices Type de document : Article/Communication Auteurs : A.S. Rogers, Auteur ; M.S. Kearney, Auteur Année de publication : 2004 Article en page(s) : pp 2317 - 2335 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] grande échelle
[Termes IGN] image Landsat-TM
[Termes IGN] interprétation automatique
[Termes IGN] littoral
[Termes IGN] marais
[Termes IGN] méthode robuste
[Termes IGN] réflectance
[Termes IGN] sédiment
[Termes IGN] signature spectrale
[Termes IGN] zone humideRésumé : (Auteur) Evidence of the rapid losses of coastal marshes calls for the application of remote sensing data. Nonetheless, many features indicative of incipient marsh loss, such as widening of tidal creeks and formation of small ponds, are often not readily detectable at the nominal 30 a x 30 m resolution of Thematic Mapper (TM) imagery, the general source for conventional satellite sensor-based data on wetlands. Spectral mixture modelling, where the proportional representation of land cover types can be estimated within pixels, offers a potential solution to the problem of assessing initial indications of loss in coastal marshes. Nevertheless, the simple linear mixture models most commonly employed can be subject to significant errors when applied to marshes due to the considerable variety of soil/sediment types in these environments. A new method is presented here which not only successfully reduces the spectral variability of soils, but also in the other principal components of vegetation and water, to a three-endmember model for estimating their fractional representation in TM data. Fractional representations for these variables in this method yield more reliable results than those obtained from unmixing corrected reflectance data. Though unmixing individual scenes may still be best achieved by extensive ground-referencing and image analysis, this technique is a robust approach for large-scale, semi-automated processing of many scenes in investigations of marsh surface condition. Numéro de notice : A2004-222 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618103 En ligne : https://doi.org/10.1080/01431160310001618103 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26749
in International Journal of Remote Sensing IJRS > vol 25 n° 12 (June 2004) . - pp 2317 - 2335[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-04101 RAB Revue Centre de documentation En réserve L003 Disponible Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed data - part 2: implementation and performance issues / Y.V. Shkvarko in IEEE Transactions on geoscience and remote sensing, vol 42 n° 5 (May 2004)
[article]
Titre : Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed data - part 2: implementation and performance issues Type de document : Article/Communication Auteurs : Y.V. Shkvarko, Auteur Année de publication : 2004 Article en page(s) : pp 932 - 940 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] entropie
[Termes IGN] équation non linéaire
[Termes IGN] estimation bayesienne
[Termes IGN] image ERS-SAR
[Termes IGN] implémentation (informatique)
[Termes IGN] inversion
[Termes IGN] méthode robusteRésumé : (Auteur) The fused Bayesian-regularization (FBR) method from a companion paper provides a rigorous theoretical formalism for optimal estimation of the power spatial spectrum pattern (SSP) of the wave field scattered from the probing surface as it is required for enhanced radar imaging of the remotely sensed scenes. Being nonlinear and solution-dependent, the optimal FBR method requires extremely complex nonlinear solution-dependent operator inversions and, therefore, cannot be recommended as a numerically realizable estimator of the SSP. Here, we design a family of robust easy-to-implement FBR algorithms, provide the relevant computational recipes, and discuss their performances. We comment on the practical aspects of the robustified FBR estimators, such as numerical implementation and improvement in the output SNR. The advantage in using the proposed robust FBR method is demonstrated through simulations of enhancing the SAR images formed using the conventional matched filtering of the trajectory signal. Numéro de notice : A2004-194 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.823279 En ligne : https://doi.org/10.1109/TGRS.2003.823279 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26721
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 5 (May 2004) . - pp 932 - 940[article]Voir aussiRéservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04051 RAB Revue Centre de documentation En réserve L003 Disponible Classifying land development in high-resolution panchromatic satellite images using straight-line statistics / C. Unsalan in IEEE Transactions on geoscience and remote sensing, vol 42 n° 4 (April 2004)PermalinkLine-based modified iterated Hough transform for automatic registration of multi-source imagery / A.F. Habib in Photogrammetric record, vol 19 n° 105 (March - May 2004)PermalinkEstimating fractional snow cover from MODIS using the normalized difference snow index / V.V. Salomonson in Remote sensing of environment, vol 89 n° 3 (15/02/2004)PermalinkA Markov random field approach to spatio-temporal contextual image classification / F. Melgani in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)PermalinkAutonomous space resection using point- and line-based representation of free-form control linear features / A. Habib in Photogrammetric record, vol 18 n° 103 (September - November 2003)PermalinkMeasuring the physical composition of urban morphology using multiple endmember spectral mixture models / T. Rashed in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)PermalinkPractical experiences with automatic aerial triangulation using different software packages / G. Buyuksalih in Photogrammetric record, vol 18 n° 102 (June - August 2003)PermalinkRoof boundary extraction using multiple images / Ahmed F. Elaksher in Photogrammetric record, vol 18 n° 101 (March - May 2003)PermalinkRobust reconstruction of building models from three-dimensional line segments / Jiann-Yeou Rau in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 2 (February /2003)PermalinkPermalinkExtracting 3D free-form surface boundaries of man-made objects from multiple calibrated images : a robust, accurate and high resolving power edgel matching and chaining approach / Franck Jung (2003)PermalinkHierarchical real-time recognition of compound objects in images / M. Ulrich (2003)PermalinkSchätzung von Vegetationsparametern aus multispektralen Fernerkundungsdaten / F. Kurz (2003)PermalinkSAR interferometry and statistical topography / A.M. Guarnieri in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)PermalinkA robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction / B.C. Kuo in IEEE Transactions on geoscience and remote sensing, vol 40 n° 11 (November 2002)PermalinkAutomatic surface reconstruction based on the fusion of fuzzy logic and robust estimation techniques / F. Samadzadegan in Photogrammetric record, vol 17 n° 100 (October 2002 - March 2003)PermalinkDual grid: a new approach for robust spatial algebra implementation / J.A. Cotelo Lema in Geoinformatica, vol 6 n° 1 (March - May 2002)PermalinkA framework for automatic recognition of spatial features from mobile mapping imagery / Z. Tu in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)PermalinkPermalinkPermalink