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Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses / F. Aguera in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)
[article]
Titre : Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses Type de document : Article/Communication Auteurs : F. Aguera, Auteur ; F. Aguilar, Auteur ; M. Aguilar, Auteur Année de publication : 2008 Article en page(s) : pp 635 - 646 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agriculture
[Termes IGN] analyse comparative
[Termes IGN] carte thématique
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] image à très haute résolution
[Termes IGN] image Ikonos
[Termes IGN] image infrarouge couleur
[Termes IGN] image multibande
[Termes IGN] image Quickbird
[Termes IGN] image RVB
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] texture d'imageRésumé : (Auteur) The area occupied by plastic-covered greenhouses has undergone rapid growth in recent years, currently exceeding 500,000 ha worldwide. Due to the vast amount of input (water, fertilisers, fuel, etc.) required, and output of different agricultural wastes (vegetable, plastic, chemical, etc.), the environmental impact of this type of production system can be serious if not accompanied by sound and sustainable territorial planning. For this, the new generation of satellites which provide very high resolution imagery, such as QuickBird and IKONOS can be useful. In this study, one QuickBird and one IKONOS satellite image have been used to cover the same area under similar circumstances. The aim of this work was an exhaustive comparison of QuickBird vs. IKONOS images in land-cover detection. In terms of plastic greenhouse mapping, comparative tests were designed and implemented, each with separate objectives. Firstly, the Maximum Likelihood Classification (MLC) was applied using five different approaches combining R, G, B, NIR, and panchromatic bands. The combinations of the bands used, significantly influenced some of the indexes used to classify quality in this work. Furthermore, the quality classification of the QuickBird image was higher in all cases than that of the IKONOS image. Secondly, texture features derived from the panchromatic images at different window sizes and with different grey levels were added as a fifth band to the R, G, B, NIR images to carry out the MLC. The inclusion of texture information in the classification did not improve the classification quality. For classifications with texture information, the best accuracies were found in both images for mean and angular second moment texture parameters. The optimum window size in these texture parameters was 3*3 for IK images, while for QB images it depended on the quality index studied, but the optimum window size was around 15*15. With regard to the grey level, the optimum was 128. Thus, the optimum texture parameter depended on the main objective of the image classification. If the main classification goal is to minimize the number of pixels wrongly classified, the mean texture parameter should be used, whereas if the main classification goal is to minimize the unclassified pixels the angular second moment texture parameter should be used. On the whole, both QuickBird and IKONOS images offered promising results in classifying plastic greenhouses. Copyright ISPRS Numéro de notice : A2008-436 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.03.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.03.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29505
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 6 (November - December 2008) . - pp 635 - 646[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08061 SL Revue Centre de documentation Revues en salle Disponible Geometric integration of aerial and high-resolution satellite imagery and application in shoreline mapping / R. Li in Marine geodesy, vol 31 n° 3 (September - November 2008)
[article]
Titre : Geometric integration of aerial and high-resolution satellite imagery and application in shoreline mapping Type de document : Article/Communication Auteurs : R. Li, Auteur ; S. Deshpande, Auteur ; X. Niu, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 143 - 159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Floride (Etats-Unis)
[Termes IGN] fusion d'images
[Termes IGN] géoréférencement
[Termes IGN] image à très haute résolution
[Termes IGN] image aérienne
[Termes IGN] image Ikonos
[Termes IGN] image Quickbird
[Termes IGN] précision de localisation
[Termes IGN] stéréoscopie
[Termes IGN] trait de côteRésumé : (Auteur) This paper investigates the geopositioning accuracy achievable from integrating IKONOS and QuickBird satellite stereo image pairs with aerial images acquired over a region at Tampa Bay, Florida. The results showed that the accuracy is related to a few factors of imaging geometry. For example, the geopositioning accuracy of a stereo pair of IKONOS or QuickBird images can be improved by integrating a set of aerial images, even just a single aerial image or a stereo pair of aerial images. Shorelines derived from the IKONOS and QuickBird stereo images, particularly the vertical positions, are compared with the corresponding observations of water-penetrating LiDAR and water gauge stations and proved that differences are within the limit of the geopositioning uncertainty of the satellite images. Copyright Taylor & Francis Numéro de notice : A2008-498 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/01490410802265310 En ligne : https://doi.org/10.1080/01490410802265310 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29567
in Marine geodesy > vol 31 n° 3 (September - November 2008) . - pp 143 - 159[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 230-08031 RAB Revue Centre de documentation En réserve L003 Disponible Optimizing the high-pass filter addition technique for image fusion / U.G. Gangkofner in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)
[article]
Titre : Optimizing the high-pass filter addition technique for image fusion Type de document : Article/Communication Auteurs : U.G. Gangkofner, Auteur ; P.S. Pradhan, Auteur ; D.W. Holcomb, Auteur Année de publication : 2008 Article en page(s) : pp 1107 - 1118 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] filtrage numérique d'image
[Termes IGN] filtre passe-haut
[Termes IGN] fusion d'images
[Termes IGN] image à basse résolution
[Termes IGN] image à très haute résolution
[Termes IGN] image optique
[Termes IGN] netteté
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Pixel-level image fusion combines complementary image data, most commonly low spectral-high spatial resolution data with high spectral-low spatial resolution optical data. The presented study aims at refining and improving the High-Pass Filter Additive (HPFA) fusion method towards a tunable and versatile, yet standardized image fusion tool. HPFA is an image fusion method in the spatial domain, which inserts structural and textural details of the higher resolution image into the lower resolution image, whose spectral properties are thereby largely retained. Using various input image pairs, workable sets of HPFA parameters have been derived with regard to high-pass filter properties and injection weights. Improvements are the standardization of the HPFA parameters over a wide range of image resolution ratios and the controlled trade-off between resulting image sharpness and spectral properties. The results are evaluated visually and by spectral and spatial metrics in comparison with wavelet-based image fusion results as a benchmark. Copyright ASPRS Numéro de notice : A2008-347 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.9.1107 En ligne : https://doi.org/10.14358/PERS.74.9.1107 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29340
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 9 (September 2008) . - pp 1107 - 1118[article]Orientation and self-calibration of ALOS PRISM imagery / S. Kocaman in Photogrammetric record, vol 23 n° 123 (September - November 2008)
[article]
Titre : Orientation and self-calibration of ALOS PRISM imagery Type de document : Article/Communication Auteurs : S. Kocaman, Auteur ; Armin W. Gruen, Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne Article en page(s) : pp 323 - 340 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] auto-étalonnage
[Termes IGN] capteur en peigne
[Termes IGN] compensation par faisceaux
[Termes IGN] détecteur à transfert de charge
[Termes IGN] élément d'orientation interne
[Termes IGN] erreur systématique
[Termes IGN] géoréférencement
[Termes IGN] image à très haute résolution
[Termes IGN] image ALOS-PRISM
[Termes IGN] modélisation géométrique de prise de vue
[Termes IGN] orientation d'image
[Termes IGN] pas d'échantillonnage au solRésumé : (Auteur) High-resolution satellite images (HRSI) at sub-5 m footprint are becoming increasingly available. A set of algorithms for processing of HRSI has been developed at the Institute of Geodesy and Photogrammetry (IGP), ETH Zurich and realised in a software suite called Satellite Image Precision Processing (SAT-PP). The software has been used for the processing of a number of high resolution satellite sensors, such as IKONOS, QuickBird, SPOT 5 HRS/HRG, Cartosat-1 and ALOS PRISM. PRISM is a panchromatic radiometer carried on board the Japanese ALOS satellite. It has three optical systems for forward, nadir and backward view with 2·5 m ground sample distance (GSD). The photogrammetric processing of PRISM imagery has special requirements owing to the linear array CCD sensor structure and special characteristics of the interior geometry and exterior orientation. As a member of the ALOS calibration/validation team, new algorithms for geometric processing of the PRISM images have been implemented at the IGP, in particular for the interior orientation and self-calibration. The physical sensor model in SAT-PP is refined according to the multiple camera heads of the sensor. The rigorous model for PRISM is based on a modified bundle adjustment with the possibility of using two different trajectory models. The self-calibration is introduced into the adjustment to model the systematic errors of the sensor and the system as a whole. The methods of georeferencing and digital surface model (DSM) generation were tested using the PRISM data-sets acquired over five different testfields. The rigorous sensor model performed well and resulted in sub-pixel accuracy for point positioning in all testfields. The self-calibration model has been tested in two different phases of the project separately. In the initial phase, where interior orientation data was not available, the use of the self-calibration was essential to achieve good accuracy. However, in the later phase the relative positions of the CCD chip detectors on the focal plane were provided by the Japan Aerospace Exploration Agency (JAXA) and the improvements by self-calibration became less significant. A detailed analysis of the DSM generation is presented in another publication. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-396 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article DOI : 10.1111/j.1477-9730.2008.00493.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00493.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76551
in Photogrammetric record > vol 23 n° 123 (September - November 2008) . - pp 323 - 340[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-08031 RAB Revue Centre de documentation En réserve L003 Disponible Comparison of nine fusion techniques for very high resolution data / K.G. Nikolapoulos in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 5 (May 2008)
[article]
Titre : Comparison of nine fusion techniques for very high resolution data Type de document : Article/Communication Auteurs : K.G. Nikolapoulos, Auteur Année de publication : 2008 Article en page(s) : pp 647 - 659 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse en composantes principales
[Termes IGN] distorsion d'image
[Termes IGN] fusion d'images
[Termes IGN] image à résolution submétrique
[Termes IGN] image à très haute résolution
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] qualité des données
[Termes IGN] transformation de Brovey
[Termes IGN] transformation en ondelettes
[Termes IGN] transformation intensité-teinte-saturationRésumé : (Auteur) The term “image fusion” covers multiple techniques used to combine the geometric detail of a high-resolution panchromatic image and the color information of a low-resolution multispectral image to produce a final image with the highest possible spatial information content while still preserving good spectral information quality. During the last twenty years, many methods such as Principal Component Analysis (PCA), Multiplicative Transform, Brovey Transform, and IHS Transform have been developed producing good quality fused images. Despite the quite good visual results, many research papers have reported the limitations of the above fusion techniques. The most significant problem is color distortion. Another common problem is that the fusion quality often depends upon the operator’s fusion experience and upon the data set being fused. In this study, we compare the efficiency of nine fusion techniques and more specifically the efficiency of IHS, Modified IHS, PCA, Pansharp, Wavelet, LMM (Local Mean Matching), LMVM (Local Mean and Variance Matching), Brovey, and Multiplicative fusion techniques for the fusion of QuickBird data. The suitability of these fusion techniques for various applications depends on the spectral and spatial quality of the fused images. In order to quantitatively measure the quality of the fused images, we have made the following controls. First, we have examined the visual qualitative result. Then, we examined the correlation between the original multispectral and the fused images and all the statistical parameters of the histograms of the various frequency bands. Finally, we performed an unsupervised classification, and we compared the resulting images. All the fusion techniques improve the resolution and the visual result. The resampling method practically has no effect on the final visual result. The LMVM, the LMM, the Pansharp, and the Wavelet merging technique do not change the statistical parameters of the original images. The Modified IHS provokes minor changes to the statistical parameters than the classical IHS or than the PCA. After all the controls, the LMVM, the LMM, the Pansharp, and the Modified IHS algorithm seem to gather the more advantages in fusion panchromatic and multispectral data. Copyright ASPRS Numéro de notice : A2008-178 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.5.647 En ligne : https://doi.org/10.14358/PERS.74.5.647 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29173
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 5 (May 2008) . - pp 647 - 659[article]ISRV: an improved synthetic variable ratio method for image fusion / L. Wang in Geocarto international, vol 23 n° 2 (April - May 2008)PermalinkPer-pixel classification of high spatial resolution satellite imagery for urban land-cover mapping / D. Hester in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 4 (April 2008)PermalinkVers la prochaine génération de bases de données et de cartes / Françoise de Blomac in SIG la lettre, n° 96 (avril 2008)PermalinkMapping the height and above-ground biomass of a mixed forest using lidar and stereo Ikonos images / Benoît Saint-Onge in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)PermalinkDétermination de l'occupation du sol en milieu urbain à partir d'images satellites par l'utilisation des règles d'association spatiales / S.Y. Turki in Revue Française de Photogrammétrie et de Télédétection, n° 189 (Mars 2008)PermalinkTexture feature fusion with neighborhood oscillating tabu search for high resolution image classification / L. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 3 (March 2008)PermalinkGeometric accuracy assessment of QuickBird basic imagery using different operational approaches / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)PermalinkMeasuring 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)PermalinkDigital surface models from high-resolution satellite imagery / J. Poon in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)PermalinkFusing Ikonos images by a four-band wavelet transformation method / Wei Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)Permalink