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A comparison study on fusion methods using evaluation indicators / V. Karanthanassi in International Journal of Remote Sensing IJRS, vol 28 n° 10 (May 2007)
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Titre : A comparison study on fusion methods using evaluation indicators Type de document : Article/Communication Auteurs : V. Karanthanassi, Auteur ; P. Kolokousis, Auteur ; S. Ioannidou, Auteur Année de publication : 2007 Article en page(s) : pp 2309 - 2341 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] fusion d'images
[Termes IGN] indicateur
[Termes IGN] limite de résolution spectrale
[Termes IGN] rapport signal sur bruit
[Termes IGN] transformation intensité-teinte-saturationRésumé : (Auteur) Various fusion methods have been developed for improving data spatial resolution. The methods most encountered in the literature are the intensity-hue-saturation (IHS) transform, the Brovey transform, the principal components algorithm (PCA) fusion method, the Gram-Schmidt fusion method, the local mean matching method, the local mean and variance matching method, the least square fusion method, the discrete wavelet fusion method including Daubechies, Symlet, Coiflet, biorthogonal spline, reverse biorthogonal spline, and Meyer wavelets, the wavelet-PCA fusion method, and the crossbred IHS and wavelet fusion method. Using various evaluation indicators such as two-dimensional correlation, relative difference of means, relative variation, deviation index, entropy difference, peak signal-to-noise ratio index and universal image quality index, as well as photo-interpretation methods and techniques, results of the above fusion methods were compared and comments on the fusion methods and potential of evaluation indicators were made. Among data fusion methods and indicators the local mean and variance matching methods proved the most efficient and the peak signal-to-noise ratio indicator proved the most appropriate for the evaluation of data fusion results. Copyright Taylor & Francis Numéro de notice : A2007-292 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600606890 En ligne : https://doi.org/10.1080/01431160600606890 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28655
in International Journal of Remote Sensing IJRS > vol 28 n° 10 (May 2007) . - pp 2309 - 2341[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-07061 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Cloud-top pressure retrieval using the oxygen a-band in the IRS-3 MOS instrument / R. Preusker in International Journal of Remote Sensing IJRS, vol 28 n° 9 (May 2007)
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Titre : Cloud-top pressure retrieval using the oxygen a-band in the IRS-3 MOS instrument Type de document : Article/Communication Auteurs : R. Preusker, Auteur ; J. Fischer, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1957 - 1967 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] image IRS-MOS
[Termes IGN] nuage
[Termes IGN] pression atmosphérique
[Termes IGN] radiance
[Termes IGN] radiosondageRésumé : (Auteur) Backscattered solar radiation as measured by MOS (Modular Optoelectronical Scanner) on the IRS3 (Indian Remote sensing Satellite 3) has been used in an algorithm to retrieve cloud top pressure. The algorithm uses a radiance ratio between absorbing channels in the Oxygen-A absorption band at 761 nm and a window channel at 750 nm. The ratios are directly related to the average photon path length, which is mainly determined by the cloud top pressure. This paper presents the principles of the retrieval scheme, results of a sensitivity study and a first validation using radiosondes. Copyright Taylor & Francis Numéro de notice : A2007-278 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600641632 En ligne : https://doi.org/10.1080/01431160600641632 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28641
in International Journal of Remote Sensing IJRS > vol 28 n° 9 (May 2007) . - pp 1957 - 1967[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-07051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Stereo cloud-top heights and cloud fraction retrieval from ATSR-2 / J.P. Muller in International Journal of Remote Sensing IJRS, vol 28 n° 9 (May 2007)
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Titre : Stereo cloud-top heights and cloud fraction retrieval from ATSR-2 Type de document : Article/Communication Auteurs : J.P. Muller, Auteur ; M.-A. Denis, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1921 - 1938 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement automatique
[Termes IGN] données météorologiques
[Termes IGN] épaisseur de nuage
[Termes IGN] image ERS-ATSR
[Termes IGN] température de luminance
[Termes IGN] traitement automatique de donnéesRésumé : (Auteur) An operational processing system is described for the automated retrieval of cloud-top heights (CTHs) and amounts from the Gridded Brightness Temperature (GBT) 1 km product derived from the dual view of the Along Track Scanning Radiometer (ATSR-2) instrument onboard the ESA ERS-2 satellite. A new stereo matching algorithm, called M4 is described together with the overall processing chain for retrieving cloud-top heights and amounts. M4 is based on the successful stereo matchers, M2 and M3 which have been in operation with the NASA MISR sensor since March 2000 and which have also been applied to mapping cloud fraction in the polar region using ATSR-2 (Cawkwell and Bamber 2002, Cawkwell et al. 2001). Results in companion papers (Naud et al., Denis et al. 2007) describe the accuracy achieved using this algorithm and detailed scene-by-scene results are available from http://cloudmap.org under results->UCL->ATSR-2 Validation. We assess the impact of cloud-top winds on the accuracy of the retrieved cloud-top heights and conclude that for most middle and lower tropospheric clouds, cloud-top winds will have little, if any, noticeable impact. We show how ATSR-2 cloud-top heights at the different wavelengths (particularly visible compared with thermal IR) can sometimes yield information on multi-layer clouds which is unique to ATSR-2. The processing system has recently been applied to three years of ASTR-2 GBT data and results are shown. These results are available from the British Atmospheric Data Centre. Copyright Taylor & Francis Numéro de notice : A2007-277 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160601030975 En ligne : https://doi.org/10.1080/01431160601030975 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28640
in International Journal of Remote Sensing IJRS > vol 28 n° 9 (May 2007) . - pp 1921 - 1938[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-07051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt ARRSI: Automatic Registration of Remote-Sensing Images / A. Wong in IEEE Transactions on geoscience and remote sensing, vol 45 n° 5 Tome 2 (May 2007)
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Titre : ARRSI: Automatic Registration of Remote-Sensing Images Type de document : Article/Communication Auteurs : A. Wong, Auteur ; D.A. Clausi, Auteur Année de publication : 2007 Article en page(s) : pp 1483 - 1493 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] congruence
[Termes IGN] distorsion d'image
[Termes IGN] image multicapteur
[Termes IGN] image multitemporelle
[Termes IGN] point de canevas
[Termes IGN] superposition d'imagesRésumé : (Auteur) This paper presents the Automatic Registration of Remote-Sensing Images (ARRSI); an automatic registration system built to register satellite and aerial remotely sensed images. The system is designed specifically to address the problems associated with the registration of remotely sensed images obtained at different times and/or from different sensors. The ARRSI system is capable of handling remotely sensed images geometrically distorted by various transformations such as translation, rotation, and shear. Global and local contrast issues associated with remotely sensed images are addressed in ARRSI using control-point detection and matching processes based on a phase-congruency model. Intensity-difference issues associated with multimodal registration of remotely sensed images are addressed in ARRSI through the use of features that are invariant to intensity mappings during the control-point matching process. An adaptive control-point matching scheme is employed in ARRSI to reduce the performance issues associated with the registration of large remotely sensed images. Finally, a variation on the Random Sample and Consensus algorithm called Maximum Distance Sample Consensus is introduced in ARRSI to improve the accuracy of the transformation model between two remotely sensed images while minimizing computational overhead. The ARRSI system has been tested using various satellite and aerial remotely sensed images and evaluated based on its accuracy and computational performance. The results indicate that the registration accuracy of ARRSI is comparable to that produced by a human expert and improvement over the baseline and multimodal sum of squared differences registration techniques tested. Copyright IEEE Numéro de notice : A2007-295 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2007.892601 En ligne : https://doi.org/10.1109/TGRS.2007.892601 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28658
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 5 Tome 2 (May 2007) . - pp 1483 - 1493[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-07051B RAB Revue Centre de documentation En réserve L003 Disponible A filtering strategy for interest point detecting to improve repeatability and information content / Q. Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 5 (May 2007)
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Titre : A filtering strategy for interest point detecting to improve repeatability and information content Type de document : Article/Communication Auteurs : Q. Zhu, Auteur ; B. Wu, Auteur ; N. Wan, Auteur Année de publication : 2007 Article en page(s) : pp 547 - 553 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] détection automatique
[Termes IGN] filtrage de points
[Termes IGN] point d'intérêt
[Termes IGN] texture d'imageRésumé : (Auteur) This paper compares several stereo image interest point detectors with respect to their repeatability and information content through experimental analysis. The Harris-Laplace detector gives better results than other detectors in areas of good texture; however, in areas of poor texture, the Harris-Laplace detector may be not the best choice. A feature-related filtering strategy is designed for the Harris-Laplace detector (as well as the standard Harris detector) to improve the repeatability and information content for imagery with both good and poor texture: (a) the local information entropy is computed to describe the local feature of the image; and (b) the redundant interest points are filtered according to the interest strength and the local information entropy. After the filtering process, the repeatability and information content of the final interest points are improved, and the mismatching then can be reduced. This conclusion is supported by experimental analysis with actual stereo images. Copyright ASPRS Numéro de notice : A2007-245 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.5.547 En ligne : https://doi.org/10.14358/PERS.73.5.547 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28608
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 5 (May 2007) . - pp 547 - 553[article]A new statistical similarity measure for change detection in multi-temporal SAR images and its extension to multi-scale change analysis / Jordi Inglada in IEEE Transactions on geoscience and remote sensing, vol 45 n° 5 Tome 2 (May 2007)
PermalinkOptimal manoeuvring of seismic sensors for localization of subsurface targets / Mubashir Alam in IEEE Transactions on geoscience and remote sensing, vol 45 n° 5 Tome 1 (May 2007)
PermalinkComparative assessment of the measures of thematic classification accuracy / C. Liu in Remote sensing of environment, vol 107 n° 4 (30/04/2007)
PermalinkExtending the MODIS 1 km ocean colour atmospheric correction to the MODIS 500 m bands and 500 m chlorophyll-a estimation towards coastal and estuarine monitoring / J.D. Shutler in Remote sensing of environment, vol 107 n° 4 (30/04/2007)
PermalinkAtmospheric correction algorithm for MERIS above case-2 waters / Th. Schroeder in International Journal of Remote Sensing IJRS, vol 28 n°7-8 (April 2007)
PermalinkMapping land cover from detailed aerial photography data using textural and neural network analysis / R. Cots-Folch in International Journal of Remote Sensing IJRS, vol 28 n°7-8 (April 2007)
PermalinkAn operational MISR pixel classifier using support vector machines / D. Mazzoni in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)
PermalinkSupport vector machines for recognition of semi-arid vegetation types using MISR multi-angle imagery / L. Su in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)
PermalinkSupport vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer / S. Durbha in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)
PermalinkAn integrated method for satellite image interpolation / Wei Shi in International Journal of Remote Sensing IJRS, vol 28 n°5-6 (March 2007)
PermalinkFeature extractions for small sample size classification problem / B.C. Kuo in IEEE Transactions on geoscience and remote sensing, vol 45 n° 3 (March 2007)
PermalinkMERIS-FR potential for land use-land cover mapping / S. Garcia-Gigorro in International Journal of Remote Sensing IJRS, vol 28 n°5-6 (March 2007)
PermalinkOpen-source software-operated CMOS camera for real-time mapping / Hervé Gontran in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007)
PermalinkRaster-network regionalization for watershed data processing / T.L. Whiteaker in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)
PermalinkA robust surface matching technique for integrated monitoring of coastal geohazards / P. Miller in Marine geodesy, vol 30 n° 1-2 (March - June 2007)
PermalinkGeneration of geometrically and radiometrically terrain corrected SAR image products / A. Loew in Remote sensing of environment, vol 106 n° 3 (15/02/2007)
Permalinkvol 24 n° 1 (Bulletin de Traitement du signal, vol 24 n° 1 [01/02/2007])
PermalinkAn experiment using a circular neighborhood to calculate slope gradient from a DEM / X. Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 2 (February 2007)
PermalinkComputing coastal ocean surface curreants from infrared and ocean color satellite imagery / R.I. Crocker in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)
PermalinkEstimating atmospheric transmission and surface reflectance from a glint-contaminated spectral image / W. Philpot in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)
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