Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: THE CURVELET TRANSFORM FOR IMAGE FUSION Myungjin Choi, Rae Young Kim, Moon-Gyu Kim

Document type:: Multivolume work

Structure type:: Chapter

ul 2004 1990. r Land Remote sing À River, ng and s, New 1995. elihood nal of -]1. Image Sensing ncillary nmetric 37. proving sat by of the ing of oan, pp. ification cessing incering ibutions fi Süzen [ Forest, Inc. are aired to THE CURVELET TRANSFORM FOR IMAGE FUSION Myungjin Choi * , Rae Young Kim" *, Moon-Gyu Kim" * SaTReC, " Division of Applied Mathematics , KAIST 373-1, Guseong-dong, Yuseong-gu, Daejeon, 305-701, Republic of KOREA * (prime,mgkim)@satrec.kaist.ac.kr; ° rykim@amath.kaist.ac.kr KEY WORDS: Fusion, Multiresolution analysis, IKONOS, Wavelet transform, Curvelet transform ABSTRACT: The fusion of high-spectral but low spatial resolution multispectral and low-spectral but high spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that wavelet- based image fusion method provides high quality of the spectral content of the fused image. However, most of wavelet-based methods have a spatial resolution of the fused result less than the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on the curvelet transform which represents edges better than wavelets. Since edges play a fundamental role in image understanding, one good way to enhance spatial resolution is to enhance the edges. Curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed IKONOS image fusion. This new method has reached an optimum fusion result. 1. INTRODUCTION In many remote sensing and mapping applications, the fusion of multispectral and panchromatic images is a very important issue. Many image fusion techniques and software tools have been developed. The well-known methods are, for example, the Brovey, the IHS(Intensity, Hue, Saturation) color model, the PCA(Principal Components Analysis) method, and wavelet based method(Ranchin er a/.2000). Assessment of the quality of the fused images is another important issue. Wald et al. (1997) proposed an approach with criteria that can be used for evaluation the spectral quality of the fused satellite images. If the objective of image fusion is to construct synthetic images that are closer to the reality they represent, then, according to the criteria proposed by Wald et al.(1997)., the Brovey, IHS, and PCA fusion methods meet this objective. However, one limitation of such methods is some distortion of spectral characteristics in the original multispectral images. Recently developments in wavelet analysis provide a potential solution to these drawbacks. For example, Nunez et al.(1999) developed an approach to fuse a high-resolution panchromatic image with a low-resolution multispectral image based on wavelet decomposition. Ranchin and Wald designed the ARSIS concept for fusing high spatial and spectral resolution images based on the multiresolution analysis of two-band wavelet transformation. Wavelet-based image fusion method provides high spectral quality of the fused satellite images. However, the fused image by Wavelets have much less spatial information than those by the Brovey, IHS, and PCA methods. The spatial information of fused image is an important factor as much as the spectral information in many remote sensing applications. In particular, this improves the efficiency of the image fusion application, * The second author was supported by KRF-2002-070-C00004. 59 such as unsupervised image classification. In other words, it is necessary to develop advanced image fusion method so that the fused images have the same spectral resolution as the multispectral images and the same spatial resolution as the panchromatic image with minimum artifacts. Recently, other multiscale systems have been developed, which include in particular ridgelets (Candes, 1999) and curvelets ( Candes et al, 1999;Starck et al,2002), and these are very different from wavelet-like systems. Curvelets and ridgelets take the form of basis elements which exhibit very high directional sensitivity and are highly anisotropic. Therefore, the curvelet transform represents edges better than wavelets, and is well-suited for multiscale edge enhancement(Starck et al,2002). In this paper, we introduce a new image fusion method based on the curvelet transform. The fused image using curvelet-based image fusion method represents almost the same detail as the original panchromatic image because curvelets represent edges better than wavelets, and the same colour as the original multispectral images because we use the wavelet-based image fusion method naturally in our algorithm. Therefore, this new method is an optimum method for image fusion. We develop a new approach for fusing IKONOS pan and multispectral images based on the curvelet transform. The structure of this paper is as follows. The next section describes the theoretical basis of the ridgelets and curvelets. Then, a new image fusion approach for IKONOS pan and multispectral images based on the curvelet transform is presented. This is followed by a discussion of the image fusing experiments. Next, the experimental results are analysed. Furthermore, the proposed method is compare with the previous methods developed for image fusion, such as the wavelet method and the IHS method.

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