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A Wavelet and IHS integration method to fuse high resolution SAR with moderate resolution multispectral images / G. Hong in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 10 (October 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 10 (October 2009) . - pp 1213 - 1223 Titre : A Wavelet and IHS integration method to fuse high resolution SAR with moderate resolution multispectral images Type de document : Article/Communication Auteurs : G. Hong, Auteur ; Y. Zhang, Auteur ; J. Bryan Mercer, Auteur Année de publication : 2009 Article en page(s) : pp 1213 - 1223 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] fusion d'images [Termes IGN] image à haute résolution [Termes IGN] image à très haute résolution [Termes IGN] image Landsat-TM [Termes IGN] image multibande [Termes IGN] image radar moirée [Termes IGN] image Radarsat [Termes IGN] précision millimétrique [Termes IGN] résolution multiple [Termes IGN] transformation en ondelettes [Termes IGN] transformation intensité-teinte-saturation Résumé : (Auteur) Synthetic aperture radar (SAR) imaging can be a feasible alternative or a complement to traditional optical remote sensing techniques because it does not depend on solar illumination and weather conditions. The high spatial resolution of SAR, such as the Intermap STAR-3i airborne SAR image with 1.25 m spatial resolution, makes it applicable for high spatial resolution mapping purposes. However, difficulties sometimes exist in the interpretation of SAR images. Image fusion presents an alternative to improve the interpretability of SAR images by fusing the color information from moderate spatial resolution multispectral (MS) images. In this paper, a new fusion method based on the integration of wavelet transform and IHS (Intensity, Hue, and Saturation) transform is proposed for SAR and MS fusion to maintain the spectral content of the original MS image while retaining the spatial detail of the high-resolution SAR image. Three data sets are used to evaluate the proposed fusion method: two sets are airborne SAR images with MS images at different spatial resolutions; the other set is a Radarsat image with a Landsat TM image. The fusion results are evaluated visually and statistically. The evaluation shows that successful results are achieved in the fusion of all SAR and MS images from a variety of sensors with significant spatial and spectral variations by using the proposed image fusion method. Numéro de notice : A2009-420 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.10.1213 En ligne : https://doi.org/10.14358/PERS.75.10.1213 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30051 [article]

Comparison and improvement of wavelet-based image fusion / G. Hong in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 29 n°3-4 (February 2008) . - pp 673 - 691 Titre : Comparison and improvement of wavelet-based image fusion Type de document : Article/Communication Auteurs : G. Hong, Auteur ; Y. Zhang, Auteur Année de publication : 2008 Article en page(s) : pp 673 - 691 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] fusion d'images [Termes IGN] image Ikonos [Termes IGN] image Quickbird [Termes IGN] ondelette [Termes IGN] transformation en ondelettes [Termes IGN] transformation intensité-teinte-saturation Résumé : (Auteur) The wavelets used in image fusion can be categorized into three general classes: orthogonal, biorthogonal, and non-orthogonal. Although these wavelets share some common properties, each wavelet also has a unique image decomposition and reconstruction characteristic that leads to different fusion results. This paper focuses on the comparison of the image-fusion methods that utilize the wavelet of the above three general classes, and theoretically analyses the factors that lead to different fusion results. Normally, when a wavelet transformation alone is used for image fusion, the fusion result is not good. However, if a wavelet transform and a traditional fusion method, such as an IHS transform or a PCA transform, are integrated, better fusion results may be achieved. Therefore, this paper also discusses methods to improve wavelet-based fusion by integrating an IHS or a PCA transform. As the substitution in the IHS transform or the PCA transform is limited to only one component, the integration of the wavelet transform with the IHS or PCA to improve or modify the component, and the use of IHS or PCA transform to fuse the image, can make the fusion process simpler and faster. This integration can also better preserve colour information. IKONOS and QuickBird image data are used to evaluate the seven kinds of wavelet fusion methods (orthogonal wavelet fusion with decimation, orthogonal wavelet fusion without decimation, biorthogonal wavelet fusion with decimation, biorthogonal wavelet fusion without decimation, wavelet fusion based on the 'à trous', wavelet and IHS transformation integration, and wavelet and PCA transformation integration). The fusion results are compared graphically, visually, and statistically, and show that wavelet-integrated methods can improve the fusion result, reduce the ringing or aliasing effects to some extent, and make the whole image smoother. Comparisons of the final results also show that the final result is affected by the type of wavelets (orthogonal, biorthogonal, and non-orthogonal), decimation or undecimation, and wavelet-decomposition levels. Copyright Taylor & Francis Numéro de notice : A2008-005 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701313826 En ligne : https://doi.org/10.1080/01431160701313826 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29000 [article]

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