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Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization / Puhong Duan in IEEE Transactions on geoscience and remote sensing, vol 58 n° 4 (April 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 4 (April 2020) . - pp 2444 - 2456 Titre : Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization Type de document : Article/Communication Auteurs : Puhong Duan, Auteur ; Xudong Kang, Auteur ; Shutao Li, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 2444 - 2456 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse d'image numérique [Termes IGN] analyse multibande [Termes IGN] chromatopsie [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] cohérence des couleurs [Termes IGN] image en couleur composée [Termes IGN] image hyperspectrale [Termes IGN] image RVB [Termes IGN] synthèse trichromatique [Termes IGN] visualisation de données Résumé : (auteur) Hyperspectral Image (HSI) visualization, which aims at displaying as much material information of original images as possible on a trichromatic monitor with natural color, plays an important role in image interpretation and analysis. However, most of the HSI visualization methods only focus on presenting the detail information of a scene without providing natural colors and distinguishing land covers with similar colors. In order to address this problem, this article proposes a multichannel pulse-coupled neural network (MPCNN)-based HSI visualization method, which consists of the following steps. First, the MPCNN is proposed and explored to fuse the original HSI so as to obtain a fused band with rich spatial details. Then, a color mapping scheme is proposed to determine the weights of red, green, and blue (RGB) channels. Finally, the weighted RGB channels are stacked together for visualization. Experiments performed on four hyperspectral data sets demonstrate that the proposed method not only displays the HSI with nature colors but also improves the details in the image. The effectiveness of the proposed method is demonstrated in terms of both visual effect and objective indexes. Numéro de notice : A2020-197 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2949427 Date de publication en ligne : 20/11/2019 En ligne : https://doi.org/10.1109/TGRS.2019.2949427 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94867 [article]

Applications of ICA for the enhancement and classification of polarimetric SAR images / H. Wang in International Journal of Remote Sensing IJRS, vol 29 n° 6 (March 2008)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 29 n° 6 (March 2008) . - pp 1649 - 1663 Titre : Applications of ICA for the enhancement and classification of polarimetric SAR images Type de document : Article/Communication Auteurs : H. Wang, Auteur ; Y. Pi, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1649 - 1663 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] analyse en composantes indépendantes [Termes IGN] couleur à l'écran [Termes IGN] données polarimétriques [Termes IGN] filtre de déchatoiement [Termes IGN] image en couleur composée [Termes IGN] image radar moirée [Termes IGN] image RVB Résumé : (Auteur) Independent components analysis (ICA) based methods for polarimetric synthetic aperture radar (SAR) image speckle reduction and ground object classification are studied. Several independent components can be extracted from polarimetric SAR images using ICA directly. The component with lowest speckle index is regarded as the scene after speckle reduction. The disadvantage of this method is that only one image is kept and most polarization information will be lost. In this paper, we use ICA-sparse-coding shrinkage (ICA-SPS) based speckle reduction method, which is implemented on each individual image and can keep polarization information. It is carried out on the combined channels obtained by Pauli-decomposition rather than original polarization channels in order to keep relative phase information among polarization channels and get better performance. After ICA-SPS, the effect of speckle suppression on SAR image classification can be compared favourably with other methods by combining the channels into a false colour image. At last, a new ICA-based classification method is presented. In this method, four independent components are separated by ICA from five polarization and combined channels. One of these independent components which includes little ground object information is regarded as speckle noise and therefore be discarded. The remaining three components can be treated as subordination coefficients of three kinds of targets. A classified image can be obtained based on the components. And by composing these three channels in RGB colour pattern, a false colour image can be constructed. Numéro de notice : A2008-085 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701395211 En ligne : https://doi.org/10.1080/01431160701395211 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29080 [article]

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ERS-2 SAR and IRS-1C LISS III data fusion: a PCA approach to improve remote sensing based geological interpretation / T.J. Majumdar in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 5 (January 2007)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 61 n° 5 (January 2007) . - pp 281 - 297 Titre : ERS-2 SAR and IRS-1C LISS III data fusion: a PCA approach to improve remote sensing based geological interpretation Type de document : Article/Communication Auteurs : T.J. Majumdar, Auteur ; S.K. Pal, Auteur ; A.K. Bhattacharya, Auteur Année de publication : 2007 Article en page(s) : pp 281 - 297 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse en composantes principales [Termes IGN] carte géologique [Termes IGN] détection de changement [Termes IGN] filtrage numérique d'image [Termes IGN] fusion d'images [Termes IGN] géologie locale [Termes IGN] image en couleur composée [Termes IGN] image ERS-SAR [Termes IGN] image IRS-LISS [Termes IGN] image optique [Termes IGN] image radar [Termes IGN] Inde [Termes IGN] interprétation automatique [Termes IGN] système d'information géographique [Termes IGN] transformation rapide de Fourier Résumé : (Auteur) Fusion of optical and synthetic aperture radar data has been attempted in the present study for mapping of various lithologic units over a part of the Singhbhum Shear Zone (SSZ) and its surroundings. ERS-2 SAR data over the study area has been enhanced using Fast Fourier Transformation (FFT) based filtering approach, and also using Frost filtering technique. Both the enhanced SAR imagery have been then separately fused with histogram equalized IRS-1C LISS III image using Principal Component Analysis (PCA) technique. Later, Feature-oriented Principal Components Selection (FPCS) technique has been applied to generate False Color Composite (FCC) images, from which corresponding geological maps have been prepared. Finally, GIS techniques have been successfully used for change detection analysis in the lithological interpretation between the published geological map and the fusion based geological maps. In general, there is good agreement between these maps over a large portion of the study area. Based on the change detection studies, few areas could be identified which need attention for further detailed ground-based geological studies. Copyright ISPRS Numéro de notice : A2007-020 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.10.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.10.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28386 [article]

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Delineating lakes and enclosed islands in satellite imagery by geodesic active contour model / C. Shen in International Journal of Remote Sensing IJRS, vol 27 n°23-24 (December 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°23-24 (December 2006) . - pp 5253 - 5268 Titre : Delineating lakes and enclosed islands in satellite imagery by geodesic active contour model Type de document : Article/Communication Auteurs : C. Shen, Auteur ; J. Fan, Auteur ; F. Li, Auteur Année de publication : 2006 Article en page(s) : pp 5253 - 5268 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] calcul différentiel [Termes IGN] Chine [Termes IGN] classification non dirigée [Termes IGN] couleur (variable spectrale) [Termes IGN] détection de contours [Termes IGN] image en couleur [Termes IGN] image en couleur composée [Termes IGN] image Landsat-ETM+ [Termes IGN] lac [Termes IGN] MNS SRTM [Termes IGN] modèle numérique de surface Résumé : (Auteur) The objective of the present paper is to develop a new method for delineating lakes and enclosed islands from shuttle radar topography mission (SRTM) digital elevation model (DEM). The Thousand-Island Lake in China is chosen as the study site. DEM may have missing values or be inaccurate over water bodies. Thus, it is not trivial to delineate the shorelines of lake directly from DEM. We achieve this objective by overlaying the boundary derived from the Landsat image of the same area. Unlike traditional water body delineation techniques, e.g. the band ratio method, which make use of physical quantities, we only use the colour information from Landsat ETM+ band 7, 4 and 2. The main reason is that the colour information is the only resource available for most publicly available satellite data such as the maps from Google Earth. Thus, it is necessary to develop a method depending on only colour information. In the Landsat image, a discrimination function to determine whether a pixel belongs to the lake area is obtained by studying sample pixels chosen from the lake area. The delineation of shorelines is an evolutionary process. The evolution equation is derived according to the active contour model and the discrimination function. The initial contour is inside the lake and expands according to the evolution equation. The evolving curve converges to the boundaries of the lake efficiently with a satisfactory result. Finally, the shorelines are overlaid on the DEM according to latitude and longitude. Our geodesic active contour method is a general one, and could be used to delineate objects of interest such as oil slicks and burn scars in satellite images. Copyright Taylor & Francis Numéro de notice : A2006-581 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600857444 En ligne : https://doi.org/10.1080/01431160600857444 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28304 [article]

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A technique for generating natural colour images from false colour composite images / S.K. Patra in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°12-13-14 (July 2006) . - pp 2977 - 2989 Titre : A technique for generating natural colour images from false colour composite images Type de document : Article/Communication Auteurs : S.K. Patra, Auteur ; M. Shekher, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 2977 - 2989 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] bande spectrale [Termes IGN] couleur (variable spectrale) [Termes IGN] couleur à l'écran [Termes IGN] image en couleur composée [Termes IGN] point d'appui [Termes IGN] superposition d'images Résumé : (Auteur) Colour is widely used in remote sensing work. In many instances, the use of colour conveys additional information both visually and scientifically. Remote sensing satellites view the earth in different spectral bands, viz. near infrared (NIR), red, green, and blue bands, in a conventional multispectral imaging system. In the absence of a blue channel, colour images can be generated using near infrared, red, and green bands in what is known as a false colour composite (FCC) and does not look natural, like the image we see with the naked eye. For a trained interpreter, this does not pose any problems. However, when the intended use is a fly-through of a draped terrain, visual interpretation, or a display, meant for the non-remote sensing professional, this becomes a handicap. To overcome this, there is a requirement to generate natural colour composites (NCC) from the given false colour composite, which demands the simulation of a blue band to be combined with green and red bands. This paper describes a unique method of generating a blue band to form natural colour images from a given false colour image set. We use a spectral transformation method to establish a relationship between the false colour and true colour image pairs provided by a sensor with all the four bands, which has a broader spectral coverage. A transformation function is fitted by selecting radiometric control points along the line of geometric registration to find a set of coefficients to be used for simulating a blue band. This blue band, along with the green and red bands, provides a near true colour or ‘natural colour’ on the display. In this paper, we present a set of adjustable radiometric transformation coefficients to accommodate variation in spatial and dynamic range offered by sensors to generate natural colour. These coefficients seem to work on a large number of images of different seasons, provided similar spectral bands and terrain are used. The proposed ‘natural colour generator’ can be used in changing false colour images to natural colour images with the aim of ‘what you get is what you would have seen’. Copyright Taylor & Francis Numéro de notice : A2006-311 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600554322 En ligne : https://doi.org/10.1080/01431160600554322 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28035 [article]

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Principal component analysis of aerial video imagery / W.J. Kramber (29/03/2006)

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Airborne measurement of hot spot reflectance signatures / F. Camacho-De Coca in Remote sensing of environment, vol 90 n° 1 (15/03/2004)  

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Systematic corrections of AVHRR image composites for temporal studies / J. Cihlar in Remote sensing of environment, vol 89 n° 2 (30/01/2004)  

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Multi-temporal study and detailed photogeological mapping of the Armero debris flow (Colombia), using Landsat TM5 images / H. Villegas in Geocarto international, vol 18 n° 1 (March - May 2003)  

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La chaine de fusion des données SPOT 5 / Christophe Latry in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 169 (Janvier 2003)

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Two approaches of textural classification for the location of the flows of lava on the volcanic site of the mountain Cameroon / E. Tonye in Geocarto international, vol 17 n° 4 (December 2002 - February 2003)  

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Les images SPOT / J.P. Penot (1997)

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Corine land cover / Commission of the European communities (1994)

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Spot PLA photographic image processing / J.R. Eyton in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 8 (august 1990)  

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The use of intensity-hue-saturation transformations for merging Spot panchromatic and multispectral image data / W.J. Carper in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 4 (april 1990)  

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