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Detection of buried targets via active selection of labeled data: Application to sensing subsurface UXO / Y. Zhang in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 42 n° 11 (November 2004) . - pp 2535 - 2543 Titre : Detection of buried targets via active selection of labeled data: Application to sensing subsurface UXO Type de document : Article/Communication Auteurs : Y. Zhang, Auteur ; X. Liao, Auteur ; L. Carin, Auteur Année de publication : 2004 Article en page(s) : pp 2535 - 2543 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] cible cachée [Termes IGN] classification [Termes IGN] détection de cible [Termes IGN] erreur moyenne quadratique [Termes IGN] matrice [Termes IGN] matrice d'information de Fischer [Termes IGN] mine antipersonnel [Termes IGN] signature spectrale Résumé : (Auteur) When sensing subsurface targets, such as land-mine and unexploded ordnance (UXO), the target signatures are typically a strong function of environmental and historical circumstances. Consequently, it is difficult to constitute a universal training set for design of detection or classification algorithms. In this paper, we develop an efficient procedure by which information-theoretic concepts are used to design the basis functions and training set, directly from the site-specific measured data specifically, assume that measured data (e.g., induction and/or magnetometer) are available from a given site, unlabeled in the sense that it is not known a priori whether a given signature is associated with a target or clutter. For N signatures, the data may be expressed as {Xi, Yi}i=1,N, where xi is the measured data or buried object i, and yi is the associated unknown binary label (target/nontarget). Let the N xi define the set X. The algorithm works in four steps : 1) the Fisher information matrix is used to select a set of basis functions for the kernel-based algorithm, this step defining a set of n signatures Bn X that are most informative in characterizing the signature distribution of the site; 2) the Fisher information matrix is used again to define a small subset Xs X, composed of those xi for which knowledge of the associated labels yi would be most informative in defining the weights, for the basis functions in Bn ; 3) the buried objects associated with the signatures in Xs., are excavated, yielding the associated labels yi, represented by the set Ys.; and 4) using Bn, Xs, and Ys, a kernel-based classifier is designed for use in classifying all remaining buried objects. This framework is discussed in detail, with example results presented for an actual buried-UXO site. Numéro de notice : A2004-462 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.836270 En ligne : https://doi.org/10.1109/TGRS.2004.836270 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26982 [article]

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065-04111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

The contribution of the sources separation method in the decomposition of mixed pixels / Mohamed Saber Naceur in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 42 n° 11 (November 2004) . - pp 2642 - 2653 Titre : The contribution of the sources separation method in the decomposition of mixed pixels Type de document : Article/Communication Auteurs : Mohamed Saber Naceur, Auteur ; M.A. Loghmari, Auteur ; Mohamed-Rached Boussema, Auteur Année de publication : 2004 Article en page(s) : pp 2642 - 2653 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] accentuation d'image [Termes IGN] analyse des mélanges spectraux [Termes IGN] analyse en composantes indépendantes [Termes IGN] bande spectrale [Termes IGN] classification pixellaire [Termes IGN] décomposition d'image [Termes IGN] fusion de données multisource [Termes IGN] occupation du sol [Termes IGN] signature spectrale [Termes IGN] Tunisie [Termes IGN] valeur radiométrique Résumé : (Auteur) In this paper, we propose to prove the importance of the application of blind sources separation methods on remote sensing data. Indeed, satellite images are represented by radiometric values where each one is considered as a mixture of different sources. The primary goal of our research is to hand back the different sources covering the scanned zone. The main constraint to restore these sources is to take our observation images as a mixture of physically independent components. In our work, the independence between the different sources is obtained through two statistical methods. The first method is based on the reduction of the spatial source correlations, and the second one is based on the joint maximization of the fourth-order cumulants. On the opposite of the original multispectral images that are represented according to correlated axes, the source images extracted from the proposed algorithms are represented according to mutually independent axes that allow each source to represent specifically a certain type of land cover. This increases the reliability of the analysis and the interpretation of the scanned zone. The source images obtained from the application of the sources separation method give a more effective representation of the information contained on the observation images. The performance of these source images is investigated through an application for the decomposition of mixed pixels. The originality of our application comes from the determination of the mixing matrix modeling the spectral endmembers based on source filters. These filters model the sensibility of each source channel according to the different spectral bands, which give an interesting information about the spectral theme represented by the corresponding source image. This application shows that the proportions of the different land cover types existing into the pixel are better estimated through the source images than through the original multispectral images. This method could offer an interesting solution to mixed-pixel classification. Numéro de notice : A2004-463 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.834764 En ligne : https://doi.org/10.1109/TGRS.2004.834764 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26983 [article]

Exemplaires(1)

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065-04111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

The development of superspectral approaches for the improvement of land cover classification / M. Gianinetto in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 42 n° 11 (November 2004) . - pp 2670 - 2679 Titre : The development of superspectral approaches for the improvement of land cover classification Type de document : Article/Communication Auteurs : M. Gianinetto, Auteur ; G. Lechi, Auteur Année de publication : 2004 Article en page(s) : pp 2670 - 2679 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] bande infrarouge [Termes IGN] capteur imageur [Termes IGN] classification dirigée [Termes IGN] cultures [Termes IGN] filtrage du bruit [Termes IGN] image EO1-Hyperion [Termes IGN] image hyperspectrale [Termes IGN] image MIVIS [Termes IGN] Italie [Termes IGN] Kappa de Cohen [Termes IGN] occupation du sol [Termes IGN] onde électromagnétique [Termes IGN] précision de la classification [Termes IGN] rapport signal sur bruit Résumé : (Auteur) This paper develops a critical review of the hyperspectral splitting of the solar reflected radiation acquired by hyperspectral imaging sensors. The bandwidth used in the range from 2.0-2.5 um by many hyperspectral sensors sometimes is too narrow for land cover classification. In fact, hyperspectral imagers often suffer from low signal-to-noise (SNR) in the short-wave infrared region of the electromagnetic spectrum, resulting in noisy image collection. This paper presents a new methodological approach to the splitting of the solar reflected radiation, called the "superspectral approach" It is based on the principle of increasing the channel bandwidth by increasing the number of wavelengths, to build synthetic spectral bands with higher SNR. The methodology has been applied to the Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) sensor, an airborne hyperspectral scanner used for environmental remote sensing applications in Italy. Interesting results have been achieved in crop classification, processing the Cordenons survey carried out in August 2001 in the northeastern part of Italy. The Spectral Angle Mapper algorithm was used for classification because it is insensitive to shadows. For accuracy assessment, the overall accuracy (OA) and kappa coefficient (k) were calculated and used in the comparison. Using the superspectral approach, an increment in the overall accuracy of about 42 % and an increment in the kappa coefficient of about 51 % were obtained in comparison to the classification accuracy of unprocessed original MIVIS data (OA = 41.21, k = 0.35). A second case study is presented using the National Aeronautics and Space Administration's experimental hyperspectral imager HYPERION. Data acquired over the lake of Garda (Italy) in October 2002 was processed with the superspectral approach. Comparing the simulated HYPERION superspectral bands with the original data, SNR improvements are achieved in the shortwave infrared region (from 0.7-54.2 for 2.012-pm wavelength and from 0.7-64.5 for the 2.365-pm wavelength). The methodology proposed is sensor independent and can be applied to any of the hyperspectral sensors currently available. Numéro de notice : A2004-464 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.835347 En ligne : https://doi.org/10.1109/TGRS.2004.835347 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26984 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-04111	RAB	Revue	Centre de documentation	En réserve L003	Disponible