Centre de documentation
scientifique

Sensitivity analysis of pansharpening in hyperspectral change detection / Seyd Teymoor Seydi in Applied geomatics, vol 10 n° 1 (March 2018)  

Public [article]  inApplied geomatics > vol 10 n° 1 (March 2018) . - pp 65 - 75 Titre : Sensitivity analysis of pansharpening in hyperspectral change detection Type de document : Article/Communication Auteurs : Seyd Teymoor Seydi, Auteur ; Mahdi Hasanlou, Auteur Année de publication : 2018 Article en page(s) : pp 65 - 75 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse de sensibilité [Termes IGN] analyse en composantes principales [Termes IGN] détection de changement [Termes IGN] image EO1-ALI [Termes IGN] image EO1-Hyperion [Termes IGN] image hyperspectrale [Termes IGN] pansharpening (fusion d'images) Résumé : (Auteur) Change detection (CD) is one of the most important uses of remote sensing, and it plays a key role in many applications. Satellite hyperspectral imagery has a high spectral resolution but low spatial resolution, which results in images with mixed pixels. To improve spatial resolution in hyperspectral images, multiresolution fusion techniques must be used, one which is called pansharpening (PS). This paper investigates the sensitivity and performance of CD methods by fusing Advanced Land Imager and Hyperion datasets based on a PS algorithm. Three different CD algorithms are used here for that purpose: cross-covariance (CC), cross equalization (CE), and principal component analysis (PCA). In addition, Gram-Schmidt (GS), HySure, and PCA are utilized as the PS methods of choice. The CD results obtained from both the original hyperspectral data and from the spatially fused data are compared to reveal the potential of PS in CD applications. Furthermore, the presented procedure also shows that the HySure method in particular yields good results for the CD. Numéro de notice : A2018-158 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-018-0206-6 Date de publication en ligne : 21/02/2018 En ligne : https://doi.org/10.1007/s12518-018-0206-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89778 [article]

In-situ transfer standard and coincident-view intercomparisons for sensor cross-calibration / Kurt Thome in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 3 Tome 1 (March 2013) . - pp 1088 - 1097 Titre : In-situ transfer standard and coincident-view intercomparisons for sensor cross-calibration Type de document : Article/Communication Auteurs : Kurt Thome, Auteur Année de publication : 2013 Article en page(s) : pp 1088 - 1097 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] analyse comparative [Termes IGN] capteur imageur [Termes IGN] étalonnage en vol [Termes IGN] étalonnage relatif [Termes IGN] image EO1-ALI [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] image Terra-ASTER [Termes IGN] image Terra-MODIS [Termes IGN] incertitude des données [Termes IGN] radiance [Termes IGN] réflectance Résumé : (Auteur) There exist numerous methods for accomplishing on-orbit calibration. Methods include the reflectance-based approach relying on measurements of surface and atmospheric properties at the time of a sensor overpass as well as invariant scene approaches relying on knowledge of the temporal characteristics of the site. The current work examines typical cross-calibration methods and discusses the expected uncertainties of the methods. Data from the Advanced Land Imager (ALI), Advanced Spaceborne Thermal Emission and Reflection and Radiometer (ASTER), Enhanced Thematic Mapper Plus (ETM+), Moderate Resolution Imaging Spectroradiometer (MODIS), and Thematic Mapper (TM) are used to demonstrate the limits of relative sensor-to-sensor calibration as applied to current sensors while Landsat-5 TM and Landsat-7 ETM+ are used to evaluate the limits of in situ site characterizations for SI-traceable cross calibration. The current work examines the difficulties in trending of results from cross-calibration approaches taking into account sampling issues, site-to-site variability, and accuracy of the method. Special attention is given to the differences caused in the cross-comparison of sensors in radiance space as opposed to reflectance space. The results show that cross calibrations with absolute uncertainties Numéro de notice : A2013-122 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2243841 En ligne : https://doi.org/10.1109/TGRS.2013.2243841 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32260 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2013031A	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Merging hyperspectral and panchromatic image data: qualitative and quantitative analysis / M. Cetin in International Journal of Remote Sensing IJRS, vol 30 n° 7 (April 2009)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 30 n° 7 (April 2009) . - pp 1779 - 1804 Titre : Merging hyperspectral and panchromatic image data: qualitative and quantitative analysis Type de document : Article/Communication Auteurs : M. Cetin, Auteur ; Nebiye Musaoglu, Auteur Année de publication : 2009 Article en page(s) : pp 1779 - 1804 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] fusion d'images [Termes IGN] image EO1-ALI [Termes IGN] image EO1-Hyperion [Termes IGN] image hyperspectrale [Termes IGN] image Ikonos [Termes IGN] image Landsat-ETM+ [Termes IGN] image panchromatique [Termes IGN] image SPOT [Termes IGN] transformation en ondelettes [Termes IGN] transformation intensité-teinte-saturation [Termes IGN] transformation rapide de Fourier [Termes IGN] Turquie Résumé : (Auteur) Image fusion is one of the most commonly used image enhancement techniques for improving the spatial quality of the source image with minimal spectral distortion in remote sensing. Until now, data fusion algorithms were developed and applied to improve the spatial resolution of the multispectral images and also their performances were evaluated depending on the source images such as Landsat Enhanced Thematic Mapper Plus (ETM+), Landsat Multispectral (MS)/Panchromatic (PAN), Satellite pour l'Observation de la Terre (SPOT) XS/PAN and IKONOS MS/PAN datasets. This paper assesses whether hyperspectral images, having very narrow bands compared to multispectral images, can be fused with high spatial resolution panchromatic images using common and current new algorithms including Intensity-Hue Saturation (IHS), Principal Component Substitution (PCS), Gram Schmidt Transformation (GST), Smoothing Filter-based Intensity Modulation (SFIM), Discrete Wavelet Transform (DWT), wavelet-based IHS (DWT-IMS) and PCS (DWT-PCS) and Fast Fourier Transform (FFT)-enhanced IHS. We also examine the performance of the fused hyperspectral images with respect to the fused multispectral images. For this purpose, two different source datasets (EO1 Hyperion/ALI PAN and EO1 ALI MS/PAN) were used. Some qualitative and quantitative analyses were implemented to assess the spatial and spectral quality of the fused images. The results show that it was possible to carry out the fusion of a narrow-band hyperspectral image and a high spatial resolution panchromatic image. The fusion of EO1 Hyperion/ALI PAN and EO1 ALI MS/PAN datasets using the SFIM, DWT-PCS, DWT-IHS and FFT-IHS algorithms produces better results than other techniques. Also, the results show that the fusion methods behaved for both datasets in the same performances except the DWT algorithm. The DWT method has a lower performance for the hyperspectral image compared to the multispectral image. Therefore the DWT algorithm should be further studied to improve the spectral qualities of a fused hyperspectral image based on wavelet transformation. Copyright Taylor & Francis Numéro de notice : A2009-172 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160802639525 En ligne : https://doi.org/10.1080/01431160802639525 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29802 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-09041	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Result from EO-1 experiment: a comparative study of earth observing-1 Advanced Land Imager (ALI) and Landsat ETM+ data for land cover mapping in the Okavango delta, Botswana / A.L. Neunschwander in International Journal of Remote Sensing IJRS, vol 26 n° 19 (October 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 19 (October 2005) . - pp 4321 - 4337 Titre : Result from EO-1 experiment: a comparative study of earth observing-1 Advanced Land Imager (ALI) and Landsat ETM+ data for land cover mapping in the Okavango delta, Botswana Type de document : Article/Communication Auteurs : A.L. Neunschwander, Auteur ; Melba M. Crawford, Auteur ; S. Ringrose, Auteur Année de publication : 2005 Article en page(s) : pp 4321 - 4337 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] Botswana [Termes IGN] carte d'occupation du sol [Termes IGN] delta [Termes IGN] géomorphologie locale [Termes IGN] image EO1-ALI [Termes IGN] image Landsat-ETM+ [Termes IGN] inondation [Termes IGN] rapport signal sur bruit Résumé : (Auteur) The Earth Observing-1 (EO-1) satellite acquired a sequence of data in 2001 and 2002 that highlighted the annual flooding of the lower Okavango Delta. The data were collected as part of the calibration/validation programme for the Advanced Land Imager (ALI) sensor on the NASA EO-1 satellite. The primary purpose of this study was to compare the capability of ALI to that of Landsat ETM + for large-scale mapping applications in the Okavango Delta. While the extent and inaccessibility of many areas of the Delta make application of remote sensing attractive, the availability of data with adequate spatial and spectral resolution has limited the characterization of the complex patterns of land cover and geomorphology in the Delta. Initial analysis of the ALI data via supervised classification clearly showed macro-flood features, delineation of downstream channel flow areas, and lateral-downstream inundation of the floodplain. These patterns and the proportions of flooding of the channel compared to that of the floodplain (impoundment) varied annually, from the wetter seasonal swamps through the drier seasonal and occasional swamps. Consistently higher classification accuracies achieved using ALI data relative to ETM + data are attributed to the higher signal-to-noise ratio and the increased dynamic range of the ALI data. Numéro de notice : A2005-444 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500112759 En ligne : https://doi.org/10.1080/01431160500112759 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27580 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05191	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Mapping Lake CDOM [coloured dissolved organic matter] by satellite remote sensing / T. Kuster in Remote sensing of environment, vol 94 n° 4 (28/02/2005)  

Public [article]  inRemote sensing of environment > vol 94 n° 4 (28/02/2005) . - pp 535 - 540 Titre : Mapping Lake CDOM [coloured dissolved organic matter] by satellite remote sensing Type de document : Article/Communication Auteurs : T. Kuster, Auteur ; D.C. Pierson, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 535 - 540 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] algorithmique [Termes IGN] analyse comparative [Termes IGN] analyse multibande [Termes IGN] cartographie thématique [Termes IGN] écosystème [Termes IGN] Finlande [Termes IGN] image EO1-ALI [Termes IGN] lac [Termes IGN] matière organique [Termes IGN] réalité de terrain [Termes IGN] Suède Résumé : (Auteur) Given the importance of coloured dissolved organic matter (CDOM) for the structure and function of lake ecosystems, a method to estimate the amount of CDOM in lake waters over large geographic areas would be highly desirable. Advanced Land Imager (ALI) images were acquired in southern Finland (in 2002) and southern Sweden (in 2003) together with in situ. measurements of bio-optical properties of 34 lakes (39 measuring stations). Based on this dataset, a band-ratio type algorithm was developed using ALI band 2 and band 3 for estimating CDOM content (absorption of filtrated water at 420 nm) in lakes. Correlation between in situ measured CDOM and the remote sensing estimate of CDOM was high, r2=0 .73. The CDOM retrieval algorithm obtained on the basis of two images and in situ data was validated on a third ALI image (eastern Finland, 2002) that was available in the ALI image archive. In situ water-colour monitoring data from 22 lakes (27 measuring stations) in the third image were available in a database of the Finnish Environment Administration. The water-colour data were converted to CDOM absorption values, which were then compared to the results from a third ALI image. The correlation between remotely estimated and in situ CDOM values in the algorithm validation image was high, r2=0 .83. These results support the conclusion that CDOM content in lakes over a wide range of concentrations (aCDOM(420) between 0.68 and 11.13 m-1) can be mapped using Advanced Land Imager data. Numéro de notice : A2005-070 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.11.009 En ligne : https://doi.org/10.1016/j.rse.2004.11.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27208 [article]

Hyperion, Ikonos, ALI, and ETM+ sensors in the study of African rainforests / Prasad S. Thenkabail in Remote sensing of environment, vol 90 n° 1 (15/03/2004)  

Permalink

Comparative alteration mineral mapping using visible to shortwave infrared (0.4-2.4 um) Hyperion, ALI, and ASTER imagery / B. Hubbard in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)  

Permalink

Comparison of Earth observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico / D.B. Lobell in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)  

Permalink

Processing Hyperion and ALI for forest classification / D.G. Goodenough in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)  

Permalink