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Titre : Le projet CAMV2 : du prototype au vol test Type de document : Article/Communication Auteurs : Jean-Philippe Souchon , Auteur ; Olivier Martin
, Auteur ; Christophe Meynard
, Auteur ; Christian Thom
, Auteur
Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 2008 Projets : CAMNU / Conférence : Journée Projets de l'IGN 2008 03/06/2008 Saint-Mandé France Importance : 8 p. Format : 21 x 30 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] caméra numérique
[Termes IGN] chambre DTC
[Termes IGN] image multibande
[Termes IGN] image panchromatiqueNuméro de notice : 13777 Affiliation des auteurs : LOEMI (1985-2011) Thématique : IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64275 Land-cover classification in the Brazilian Amazon with the integration of Landsat ETM+ and Radarsat data / Dong Lu in International Journal of Remote Sensing IJRS, vol 28 n°23-24 (December 2007)
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Titre : Land-cover classification in the Brazilian Amazon with the integration of Landsat ETM+ and Radarsat data Type de document : Article/Communication Auteurs : Dong Lu, Auteur ; M. Batistella, Auteur ; E. Moran, Auteur Année de publication : 2007 Article en page(s) : pp 5447 - 5459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] Amazonie
[Termes IGN] analyse texturale
[Termes IGN] Brésil
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] fusion d'images
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] image optique
[Termes IGN] image panchromatique
[Termes IGN] image radar
[Termes IGN] image Radarsat
[Termes IGN] niveau de gris (image)
[Termes IGN] occupation du sol
[Termes IGN] transformation en ondelettes
[Termes IGN] zone tropicale humideRésumé : (Auteur) Land-cover classification with remotely sensed data in moist tropical regions is a challenge due to the complex biophysical conditions. This paper explores techniques to improve land-cover classification accuracy through a comparative analysis of different combinations of spectral signatures and textures from Landsat Enhanced Thematic Mapper Plus (ETM+) and Radarsat data. A wavelet-merging technique was used to integrate Landsat ETM+ multispectral and panchromatic data or Radarsat data. Grey-level co-occurrence matrix (GLCM) textures based on Landsat ETM+ panchromatic or Radarsat data and different sizes of moving windows were examined. A maximum-likelihood classifier was used to implement image classification for different combinations. This research indicates the important role of textures in improving land-cover classification accuracies in Amazonian environments. The incorporation of data fusion and textures increases classification accuracy by approximately 5.8-6.9% compared to Landsat ETM+ data, but data fusion of Landsat ETM+ multispectral and panchromatic data or Radarsat data cannot effectively improve land-cover classification accuracies. Copyright Taylor & Francis Numéro de notice : A2007-538 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701227596 En ligne : https://doi.org/10.1080/01431160701227596 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28901
in International Journal of Remote Sensing IJRS > vol 28 n°23-24 (December 2007) . - pp 5447 - 5459[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-07131 RAB Revue Centre de documentation En réserve L003 Disponible Measuring land development in urban regions using graph theoretical and conditional statistical features / C. Unsalan in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)
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Titre : Measuring land development in urban regions using graph theoretical and conditional statistical features Type de document : Article/Communication Auteurs : C. Unsalan, Auteur Année de publication : 2007 Article en page(s) : pp 3989 - 3999 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement de graphes
[Termes IGN] extraction automatique
[Termes IGN] graphe
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] matrice de co-occurrence
[Termes IGN] niveau de gris (image)
[Termes IGN] segment de droite
[Termes IGN] surveillance de l'urbanisationRésumé : (Auteur) Inferring land use from satellite images is extensively studied by the remote sensing and pattern recognition communities. In previous studies, the focus was on classifying large regions due to the resolution of available satellite images. Nowadays, very high-resolution satellite imagery (Ikonos and Quickbird) allows researchers to focus on more complex land-use problems such as monitoring development in urban regions. Solutions to these complex problems may improve the life standards of city residents. To this end, we focus on automatically monitoring construction zones using their very high-resolution panchromatic satellite images through time. To monitor land development, we obtain sequential images of a selected region. Then, we extract features from each image in the sequence. Comparing values of these features, we expect to measure the degree of land development through time. In a similar study, we introduced graph theoretical measures over Ikonos imagery to measure organization in a given satellite image. This paper is an extension of our previous work with more powerful new features. Here, we first introduce a novel method to extract straight line segments using a least squares ellipse fitting. Then, we introduce four new graph theoretical features. More importantly, we introduce a novel method to embed the spatial information in gray-level co-occurrence matrix statistical features to measure land development. Finally, we test all our existing and new features to measure land development in 19 different urban construction zones. Our test set consists of Ikonos satellite images of these regions captured in separate times. Copyright IEEE Numéro de notice : A2007-586 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2007.897446 En ligne : https://doi.org/10.1109/TGRS.2007.897446 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28949
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 12 Tome 1 (December 2007) . - pp 3989 - 3999[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-07121A RAB Revue Centre de documentation En réserve L003 Disponible Fusing Ikonos images by a four-band wavelet transformation method / Wei Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)
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Titre : Fusing Ikonos images by a four-band wavelet transformation method Type de document : Article/Communication Auteurs : Wei Shi, Auteur ; C. Zhu, Auteur ; S. Zhu, Auteur Année de publication : 2007 Article en page(s) : pp 1285 - 1292 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] fusion d'images
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] transformation en ondelettesRésumé : (Auteur) This paper presents a wavelet transformation-based method for fusing high-resolution satellite images. First, a multi-band wavelet fusion method, specifically the four-band wavelet method, is proposed for fusing one-meter panchromatic and four-meter multi-spectral Ikonos images. Second, the fusion experiments are undertaken by using the proposed four-band wavelet method. The results are compared with fused images from other methods, such as two-band wavelet and IHS methods. The results are evaluated based on both visual evaluation and a quantitative analysis, by using several assessing parameters and a new evaluation method: the profile intensity curve. Third, as an application of the fused images, they are applied for recognition and identification of features in urban area. The quantitative analysis demonstrates that four-band wavelet transformation method provides improved fused images. Copyright ASPRS Numéro de notice : A2007-519 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.11.1285 En ligne : https://doi.org/10.14358/PERS.73.11.1285 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28882
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 11 (November 2007) . - pp 1285 - 1292[article]Geoeye's next-generation color satellite imagery / K. Corbley in Geoinformatics, vol 10 n° 6 (01/09/2007)
[article]
Titre : Geoeye's next-generation color satellite imagery Type de document : Article/Communication Auteurs : K. Corbley, Auteur Année de publication : 2007 Article en page(s) : pp 6 - 9 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] Geoeye
[Termes IGN] image à très haute résolution
[Termes IGN] image Geoeye
[Termes IGN] image multibande
[Termes IGN] image panchromatiqueRésumé : (Editeur) In the months ahead a commercial Earth imaging satellite, GeoEye-1, will be launched by GeoEye Inc. It will provide the highest resolution and most advanced collection capabilities of any commercial remote sensing system. The satellite will acquire high-quality panchromatic and multispectral mode, respectively, and collect hundreds of thousands of square kilometers of map-accurate imagery in a single day. Copyright GEOinformatics Numéro de notice : A2007-415 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28778
in Geoinformatics > vol 10 n° 6 (01/09/2007) . - pp 6 - 9[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 262-07061 SL Revue Centre de documentation Revues en salle Disponible Wavelet based image fusion techniques: an introduction, review and comparison / Krista Amolins in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)
PermalinkIntegration of panchromatic and SAR features into multispectral spot images using the "à trous" wavelet decomposition / Y. Chibani in International Journal of Remote Sensing IJRS, vol 28 n° 10 (May 2007)
PermalinkSemi-automatic approach toward mapping of flat-roofed buildings within a non-stereoscopic environment / Y. Avrahami in Photogrammetric record, vol 22 n° 117 (March - May 2007)
PermalinkThailand Earth Observation System: mission and products / M. Kaewmanee in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007)
PermalinkFFT-enhanced IHS transform method for fusing high-resolution satellite images / Y. Ling in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)
PermalinkEstimation of the number of decomposition levels for a wavelet-based multiresolution multisensor image fusion / P. Pradhan in IEEE Transactions on geoscience and remote sensing, vol 44 n° 12 (December 2006)
PermalinkIntegration of GPS and remote sensing into GIS: a case study of rectifying satellite imagery using uncorrected coordinates in different scenes / J. Gao in Geocarto international, vol 21 n° 4 (December 2006 - February 2007)
PermalinkThe Pleiades-HR mosaic system product / Françoise de Lussy in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)
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PermalinkMapping damage in the Jammu and Kashmir caused by 8 October 2005 mw 7.3 earthquakes from the Cartosat-1 and Resourcesat-1 imagery / K. Vinod Kumar in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
PermalinkEvaluation of resolving power and MTF of DMC / Eija Honkavaara in Revue Française de Photogrammétrie et de Télédétection, n° 183 (Septembre 2006)
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