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Potential accuracy of image orientation of small satellites: a case study of CHRIS/Proba data / Ahmed Shaker in Photogrammetric record, vol 23 n° 123 (September - November 2008)
[article]
Titre : Potential accuracy of image orientation of small satellites: a case study of CHRIS/Proba data Type de document : Article/Communication Auteurs : Ahmed Shaker, Auteur ; J. Nichol, Auteur ; M. Wong, 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 275 - 289 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] angle de visée
[Termes IGN] correction géométrique
[Termes IGN] espace image
[Termes IGN] espace objet
[Termes IGN] géoréférencement
[Termes IGN] Hong-Kong
[Termes IGN] image hyperspectrale
[Termes IGN] image PROBA-CHRIS
[Termes IGN] minisatellite
[Termes IGN] modèle empirique
[Termes IGN] modèle stéréoscopique
[Termes IGN] montagne
[Termes IGN] orientation d'image
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) The new technology of small satellites (microsatellites) opens a new era in satellite observation of the earth. Small satellites such as ESA's Project for On-Board Autonomy (Proba), launched on 22nd October 2001, are of interest due to their low cost, flexibility of positioning, and capability for multiangular scanning in both across-track and along-track directions. Proba's Compact High Resolution Imaging Spectrometer (CHRIS) provides multidirectional, as well as hyperspectral, data at 18 m resolution and is supplied mainly to the scientific community for experimental environmental applications. This research evaluates the use of various empirical mathematical models for small satellite orientation and terrain modelling using the multidirectional viewing capabilities of CHRIS data. Geometric correction and co-registration of multiangle images is essential for their use for data extraction. Ideally, rigorous mathematical models should be formulated which precisely describe the satellite motion and represent the relationship between the image and the object spaces. The use of rigorous mathematical models has not been fully investigated using CHRIS/Proba data, because the satellite information provided is not adequate for rigorous sensor modelling. In this paper, several alternative empirical models are tested for the orientation and 3D geopositioning of CHRIS sensor images. The images used in this study cover extremely mountainous terrain in central Hong Kong. A set of five images from CHRIS/Proba taken in December 2005 from different angles are used to test the applicability of different forms of the empirical models for 3D geopositioning. The accuracy of the models is tested for different numbers and distribution of ground control points (GCPs) using different combinations of observation angles and base-to-height ratios. The results obtained show high integrity of the models used for CHRIS/Proba image orientation. In some cases, accuracy better than 2 pixels can be achieved using a modest number of GCPs. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-393 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00490.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00490.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29386
in Photogrammetric record > vol 23 n° 123 (September - November 2008) . - pp 275 - 289[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-08031 RAB Revue Centre de documentation En réserve L003 Disponible Integration of Hyperion satellite data and a household social survey to caracterize the causes and consequences of reforestation patterns in the Northern Ecuadorian Amazon / S.J. Walsh in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 6 (June 2008)
[article]
Titre : Integration of Hyperion satellite data and a household social survey to caracterize the causes and consequences of reforestation patterns in the Northern Ecuadorian Amazon Type de document : Article/Communication Auteurs : S.J. Walsh, Auteur ; Y. Shao, Auteur ; C.F. Mena, Auteur ; A.L. Mccleary, Auteur Année de publication : 2008 Article en page(s) : pp 725 - 735 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Amazonie
[Termes IGN] analyse en composantes principales
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] classification dirigée
[Termes IGN] classification non dirigée
[Termes IGN] Equateur (état)
[Termes IGN] forêt équatoriale
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image Ikonos
[Termes IGN] intégration de données
[Termes IGN] occupation du solRésumé : (Auteur) The integration of Hyperion and Ikonos imagery are used to differentiate the subtle spectral differences of landuse/ land-cover types on household farms in the Northern Ecuadorian Amazon (NEA) with an emphasis on secondary and successional forests. Approaches are examined that include the use of Principal Components Analysis to compress the Hyperion hyperspectral data to its most vital spectral channels; linear mixture modeling to derive subpixel fractions of land-use/land-cover types through the generation of spectral endmembers; and supervised and unsupervised classifications to map forest regrowth, agricultural crops and pasture, and other land-uses on 18 survey farms that are spatially coincident with the imagery. A longitudinal socio-economic and demographic survey (1990 and 1999) is used to characterize household farms; a community survey (2000) is used to assess nearby market towns and service centers; GIS is used to represent the resource endowments of farms and their geographic accessibility. Statistical relationships are examined using Spearman rank correlation coefficients to assess the linkages among a number of selected social, geographical, and biophysical variables and secondary and successional forest on household farms. Relationships suggest the importance of household characteristics, farm resources, and geographic access of secondary forests on surveyed household farms that were previously deforested and converted to agriculture through extensification processes. Results support the integrated use of hyperspectral and hyperspatial data for characterizing forest regrowth on household farms, and the use of multi-dimensional social survey data and GIS to assess plausible causes and consequences of land-use/land-cover dynamics in the NEA. Copyright ASPRS Numéro de notice : A2008-199 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.74.6.725 En ligne : https://doi.org/10.14358/PERS.74.6.725 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29194
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 6 (June 2008) . - pp 725 - 735[article]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]Topographic data bases in the product generation of IRS-P6 Liss-4 imagery / M.V. Jyothi in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)
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Titre : Topographic data bases in the product generation of IRS-P6 Liss-4 imagery Type de document : Article/Communication Auteurs : M.V. Jyothi, Auteur ; P. Radhadevi, Auteur ; S.S. Solanki, Auteur Année de publication : 2008 Article en page(s) : pp 322 - 332 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] base de données topographiques
[Termes IGN] image à résolution subdecamétrique
[Termes IGN] image IRS-LISS
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] MNS GTOPO30
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surfaceRésumé : (Auteur) A continuous and autonomous co-registration and geo-location of image data from multiple sensors with widely varying view angles and resolution is one of the unique challenges of IRS-P6 data processing. The Liss-4 camera is capable of imaging in either multi-spectral or panchromatic modes with steerability up to +/- 27°. As the satellite sweeps longer strips with oblique viewing configuration, data product generation requires an elevation database to accommodate the errors due to terrain topography. SRTM, GTOPO30, DCW etc. are becoming hidden information to product generation schemes. In this paper, we analyze and justify the requirement of inclusion of a global DEM in the product generation system for Liss-4 data. In the first part of the study, after a brief introduction of sensor model, comparison of elevation from SRTM and GTOPO30 is made which leads towards a conclusion that GTOPO30 is adequate for improving the accuracy. The second part deals with the impact of GTOPO30 on geometric accuracy. Thirdly we analyze the terrain effects on band-to-band registration of Liss-4 multispectral data. A perfect band-to-band registration cannot be achieved without inclusion of digital elevation model. Many Liss-4 data sets with different tilts that cover terrain patches with flat, rolling and highly undulating nature are studied and the results reported. Copyright ISPRS Numéro de notice : A2008-214 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.10.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.10.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29209
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 3 (May - June 2008) . - pp 322 - 332[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08031 SL Revue Centre de documentation Revues en salle Disponible Effects of spatial resolution ratio in image fusion / Y. Ling in International Journal of Remote Sensing IJRS, vol 29 n° 7 (April 2008)
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Titre : Effects of spatial resolution ratio in image fusion Type de document : Article/Communication Auteurs : Y. Ling, Auteur ; Manfred Ehlers, Auteur ; E. Usery, Auteur ; Marguerite Madden, Auteur Année de publication : 2008 Article en page(s) : pp 2157 - 2167 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] fusion d'images
[Termes IGN] image à basse résolution
[Termes IGN] image à haute résolution
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] limite de résolution géométriqueRésumé : (Auteur) In image fusion, the spatial resolution ratio can be defined as the ratio between the spatial resolution of the high-resolution panchromatic image and that of the low-resolution multispectral image. This paper attempts to assess the effects of the spatial resolution ratio of the input images on the quality of the fused image. Experimental results indicate that a spatial resolution ratio of 1 : 10 or higher is desired for optimal multisensor image fusion provided the input panchromatic image is not downsampled to a coarser resolution. Due to the synthetic pixels generated from resampling, the quality of the fused image decreases as the spatial resolution ratio decreases (e.g. from 1 : 10 to 1 : 30). However, even with a spatial resolution ratio as small as 1 : 30, the quality of the fused image is still better than the original multispectral image alone for feature interpretation. In cases where the spatial resolution ratio is too small (e.g. 1 : 30), to obtain better spectral integrity of the fused image, one may downsample the input high-resolution panchromatic image to a slightly lower resolution before fusing it with the multispectral image. Copyright Taylor & Francis Numéro de notice : A2008-098 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701408345 En ligne : https://doi.org/10.1080/01431160701408345 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29093
in International Journal of Remote Sensing IJRS > vol 29 n° 7 (April 2008) . - pp 2157 - 2167[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-08051 RAB Revue Centre de documentation En réserve L003 Disponible ISRV: an improved synthetic variable ratio method for image fusion / L. Wang in Geocarto international, vol 23 n° 2 (April - May 2008)PermalinkSpecies identification of individual trees by combining high resolution LiDAR data with multi-spectral images / Johan Holmgren in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)PermalinkLand-cover classification using ASTER: multi-band combinations based on wavelet fusion and SOM neural network / H. Bagan in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 3 (March 2008)PermalinkUsing colour, texture, and hierarchical segmentation for high-resolution remote sensing / Roger Trias-Sanz in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 2 (March - April 2008)PermalinkEvaluation et amélioration des performances de la chaine MNT P+XS SPOT5 / Jean Figuerola (2008)PermalinkLe projet CAMV2 : du prototype au vol test / Jean-Philippe Souchon (2008)PermalinkUnsupervised Image Segmentation based on Texems for Hyperspectral data / Adolfo Martinez-Uso (2008)PermalinkDetermination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data / U. Heiden in Remote sensing of environment, vol 111 n° 4 (28/12/2007)PermalinkApplications de l'imagerie hyperspectrale à l'étude des planètes du système solaire : le cas de Mars et de Titan / S. Le Mouelic in Photo interprétation, vol 43 n° 4 (Décembre 2007)PermalinkBorder vector detection and adaptation for classification of multispectral and hyperspectral remote sensing images / N.G. Kasapoglu in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)PermalinkLand-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)PermalinkN-FindR method versus independent component analysis for lithological identification in hyperspectral imagery / C. Gomez in International Journal of Remote Sensing IJRS, vol 28 n°23-24 (December 2007)PermalinkA time-efficient method for anomaly detection in hyperspectral images / O. Duran in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 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)PermalinkIntegration of heterogeneous geospatial data in a federated database / Matthias Butenuth in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 5 (October 2007)PermalinkMultispectral image classification: a supervised neural computation approach based on rough-fuzzy membership function and weak fuzzy similarity relation / A. Agrawal in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)PermalinkOptimization in multi-scale segmentation of high-resolution satellite images for artificial feature recognition / Jing Tian in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)PermalinkCharacterizing patterns of plant distribution in a southern California salt marsh using remotely sensed topographic and hyperspectral data and local tidal fluctuations / S. Sadro in Remote sensing of environment, vol 110 n° 2 (28/09/2007)PermalinkDerniers développements en télédétection hyperspectrale / V. Carrere in Photo interprétation, vol 43 n° 3 (Septembre 2007)PermalinkGeoeye's next-generation color satellite imagery / K. Corbley in Geoinformatics, vol 10 n° 6 (01/09/2007)Permalink