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Object detection using transformed signatures in multitemporal hyperspectral imagery / R. Mayer in IEEE Transactions on geoscience and remote sensing, vol 40 n° 4 (April 2002)
[article]
Titre : Object detection using transformed signatures in multitemporal hyperspectral imagery Type de document : Article/Communication Auteurs : R. Mayer, Auteur ; R. Priest, Auteur Année de publication : 2002 Article en page(s) : pp 831 - 840 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image hyperspectrale
[Termes IGN] image multitemporelle
[Termes IGN] recouvrement d'images
[Termes IGN] signature spectrale
[Termes IGN] superposition d'imagesRésumé : (Auteur) Changes in atmosphere, ground conditions, and sensor response between multitemporal airborne imaging sessions have limited the use of fixed target hyperspectral libraries in helping to identify targets in heterogeneous (cluttered) backgrounds. This hyperspectral target signature instability has resulted in using anomaly detection algorithms to detect targets in real time applications. The anomaly detection algorithms, however, have not detected targets at sufficiently low false alarm rates. This study examines mathematical transforms of target spectral signatures. Specifically this study uses statistical information regarding background clutter taken from one long-wave infrared (LWIR) hyperspectral (8-12jum) airborne imagery flown on one day, to find the target spectral signature flown on another day (with significantly dissimilar weather conditions). The transforms use overlapping regions in the two data sets but without subpixel level registration. This work analyzes image cubes collected during the November 1998 Hyperspectral Day/Night Radiometry Assessment (HYDRA) data collect. The transformed signatures used in matched filter searches successfully find targets (even targets nearly covered) with low false alarm rates ( Numéro de notice : A2002-178 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.1006361 En ligne : https://doi.org/10.1109/TGRS.2002.1006361 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22093
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 4 (April 2002) . - pp 831 - 840[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02041 RAB Revue Centre de documentation En réserve L003 Disponible 065-02042 RAB Revue Centre de documentation En réserve L003 Disponible Processing of Ikonos imagery for submetre 3D positioning and building extraction / Clive Simpson Fraser in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 3 (April - June 2002)
[article]
Titre : Processing of Ikonos imagery for submetre 3D positioning and building extraction Type de document : Article/Communication Auteurs : Clive Simpson Fraser, Auteur ; Emmanuel P. Baltsavias, Auteur ; Armin W. Gruen, Auteur Année de publication : 2002 Article en page(s) : pp 177 - 194 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection du bâti
[Termes IGN] géopositionnement tridimensionnel
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] planimétrie
[Termes IGN] précision décimétrique
[Termes IGN] précision métrique
[Termes IGN] radiométrie
[Termes IGN] restauration d'imageRésumé : (Auteur) An investigation of the application of 1 -m Ikonos satellite imagery to 3D point positioning and building reconstruction is reported. The focus of the evaluation of Geo panchromatic imagery has been upon 3D positioning accuracy, radiometric quality and attributes of the image data for building feature extraction. Following an initial review of characteristics of the Ikonos system, the multi-image dataset employed is described, as is the Melbourne Ikonos testfield. Radiometric quality and image preprocessing aspects are discussed, with attention being given to noise level and artifacts, as well as to methods of image enhancement. The results of 2D and 3D metric accuracy tests using straightforward geometric sensor models are summarised, these showing that planimetric accuracy of 0.3-0.6 m and height accuracy of 0.5-0.9 m are readily achievable with only three to six ground control points. A quantitative and qualitative assessment of the use of stereo Ikonos imagery for generating building models is then provided, using the campus of the University of Melbourne as an evaluation site. The results of this assessment are discussed, these highlighting the high accuracy potential of Ikonos Geo imagery and limitations to be considered in building reconstruction when a comprehensive and detailed modelling is required. Copyright ISPRS Numéro de notice : A2002-094 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(02)00045-X En ligne : https://doi.org/10.1016/S0924-2716(02)00045-X Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22009
in ISPRS Journal of photogrammetry and remote sensing > vol 56 n° 3 (April - June 2002) . - pp 177 - 194[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-02011 SL Revue Centre de documentation Revues en salle Disponible Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction / N.R. Harvey in IEEE Transactions on geoscience and remote sensing, vol 40 n° 2 (February 2002)
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Titre : Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction Type de document : Article/Communication Auteurs : N.R. Harvey, Auteur ; et al., Auteur Année de publication : 2002 Article en page(s) : pp 393 - 404 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification dirigée
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] extraction semi-automatique
[Termes IGN] image multibandeRésumé : (Auteur) We have developed an automated feature detection/classification system, called GENetic Imagery Exploitation (GENIE), which has been designed to generate image processing pipelines for a variety of feature detection/classification tasks. GENIE is a hybrid evolutionary algorithm that addresses the general problem of finding features of interest in multispectral remotely-sensed images. We describe our system in detail together with experiments involving comparisons of GENIE with several conventional supervised classification techniques, for a number of classification tasks using multispectral remotely sensed imagery. Numéro de notice : A2002-098 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.992801 En ligne : https://doi.org/10.1109/36.992801 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22013
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 2 (February 2002) . - pp 393 - 404[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02021 RAB Revue Centre de documentation En réserve L003 Disponible 065-02022 RAB Revue Centre de documentation En réserve L003 Disponible A derivative-aided hyperspectral image analysis system for land-cover classification / F. Tsai in IEEE Transactions on geoscience and remote sensing, vol 40 n° 2 (February 2002)
[article]
Titre : A derivative-aided hyperspectral image analysis system for land-cover classification Type de document : Article/Communication Auteurs : F. Tsai, Auteur ; W.D. Philpot, Auteur Année de publication : 2002 Article en page(s) : pp 416 - 425 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de données
[Termes IGN] classification dirigée
[Termes IGN] image hyperspectrale
[Termes IGN] occupation du solRésumé : (Auteur) The large number of spectral bands in hyperspectral data seriously complicates their use for classification. Selection of a useful subset of bands or derived features (spectral ratios, differences, derivatives) is always desirable, strongly affects the accuracy of the classification, and is often a practical necessity to keep the processing speed and memory requirements under control. This paper examines one possible procedure for selecting spectral derivatives to improve supervised classification of hyperspectral images. The procedure is designed to identify derivative features that are more effective at separating target classes and then add them to a base subset of features for classification. The goal is to create the smallest set of features that will result in the best classification result. A key issue in this process is the interplay of the number of features and the size of the training data sets since classification accuracy declines if the dimensionality of the feature space is too large relative to the number of training samples. Numéro de notice : A2002-100 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.992805 En ligne : https://doi.org/10.1109/36.992805 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22015
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 2 (February 2002) . - pp 416 - 425[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02021 RAB Revue Centre de documentation En réserve L003 Disponible 065-02022 RAB Revue Centre de documentation En réserve L003 Disponible Linear spectral random mixture analysis for hyperspectral imagery / C.I. Chang in IEEE Transactions on geoscience and remote sensing, vol 40 n° 2 (February 2002)
[article]
Titre : Linear spectral random mixture analysis for hyperspectral imagery Type de document : Article/Communication Auteurs : C.I. Chang, Auteur ; S.S. Chiang, Auteur ; J.A. Smith, Auteur ; I.W. Ginsberg, Auteur Année de publication : 2002 Article en page(s) : pp 375 - 392 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes indépendantes
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] analyse spectrale
[Termes IGN] classification non dirigée
[Termes IGN] image hyperspectraleRésumé : (Auteur) Independent component analysis (ICA) has shown success in blind source separation and channel equalization. Its applications to remotely sensed images have been investigated in recent years. Linear spectral mixture analysis (LSMA) has been widely used for subpixel detection and mixed pixel classification. It models an image pixel as a linear mixture of materials present in an image where the material abundance fractions are assumed to be unknown and nonrandom parameters. This paper considers an application of ICA to the LSMA, referred to as ICA-based linear spectral random mixture analysis (LSRMA), which describes an image pixel as a random source resulting from a random composition of multiple spectral signatures of distinct materials in the image. It differs from the LSMA in that the abundance fractions of the material spectral signatures in the LSRMA are now considered to be unknown but random independent signal sources. Two major advantages result from the LSRMA. First, it does not require prior knowledge of the materials to be used in the linear mixture model, as required for the LSMA. Second, and most importantly, the LSRMA models the abundance fraction of each material spectral signature as an independent random signal source so that the spectral variability of materials can be described by their corresponding abundance fractions and captured more effectively in a stochastic manner. The experimental results demonstrate that the proposed LSRMA provides an effective unsupervised technique for target detection and image classification in hyperspectral imagery. Numéro de notice : A2002-097 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.992799 En ligne : https://doi.org/10.1109/36.992799 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22012
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 2 (February 2002) . - pp 375 - 392[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02021 RAB Revue Centre de documentation En réserve L003 Disponible 065-02022 RAB Revue Centre de documentation En réserve L003 Disponible Approfondissement des techniques de diagnostique des propriétés spectrales d'une culture / Laure Chandelier (2002)PermalinkEffects of spatial aggregation approaches on classified satellite imagery / H.S. He in International journal of geographical information science IJGIS, vol 16 n° 1 (january 2002)PermalinkEtude de la qualité des éphémérides du satellite Landsat / C. Vergerpion (2002)PermalinkReconstruction 3D de sites urbains par stéréoscopie optique haute résolution / Hélène Oriot in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 166 (Janvier 2002)PermalinkReconstruction de primitives linéaires 3D en multi-vues pour la modélisation de scènes urbaines / Franck Taillandier (2002)PermalinkScale and texture in digital image classification / J.S. Ferro in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 1 (January 2002)PermalinkA synergic automatic clustering technique (syneract) for multispectral image analysis / K.Y. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 1 (January 2002)PermalinkTIN surface reconstruction from multiple calibrated aerial images in urban areas / Grégoire Maillet (2002)PermalinkTrois approches pour la construction automatique de modèles 3D de bâtiments en imagerie aérienne haute résolution / Frank Fuchs in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 166 (Janvier 2002)PermalinkRevealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: a case study of the greater Cairo region, Egypt / T. Rashed in Geocarto international, vol 16 n° 4 (December 2001 - February 2002)Permalink