Comparison of various image fusion methods for impervious surface classification from VNREDSat-1

Luu, Hung V.; Pham, Manh V.; Man, Chuc D.; Bui, Hung Q.; Nguyen, Thanh T.N.

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자료유형: 학술저널

저자정보: Luu, Hung V. (Center of Multidisciplinary Integrated Technologies for Field Monitoring) Pham, Manh V. (Center of Multidisciplinary Integrated Technologies for Field Monitoring) Man, Chuc D. (Center of Multidisciplinary Integrated Technologies for Field Monitoring) Bui, Hung Q. (Center of Multidisciplinary Integrated Technologies for Field Monitoring) Nguyen, Thanh T.N. (Center of Multidisciplinary Integrated Technologies for Field Monitoring)

저널정보: (사)국제문화기술진흥원 The International journal of advanced culture technology The International journal of advanced culture technology 제4권 제2호

발행연도: 2016.1

수록면: 1 - 6 (6page)

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Impervious surfaces are important indicators for urban development monitoring. Accurate mapping of urban impervious surfaces with observational satellites, such as VNREDSat-1, remains challenging due to the spectral diversity not captured by an individual PAN image. In this article, five multi-resolution image fusion techniques were compared for the task of classifting urban impervious surfaces. The result shows that for VNREDSat-1 dataset, UNB and Wavelet tranformation methods are the best techniques in reserving spatial and spectral information of original MS image, respectively. However, the UNB technique gives the best results when it comes to impervious surface classification, especially in the case of shadow areas included in non-impervious surface group.

#image fusion #classification #impervious surface

참고문헌 (14)

참고문헌 신청

Lu, D. / 2009 / Extraction of urban impervious surfaces from an IKONOS image / International Journal of Remote Sensing 30(5):1297~1311

Yuan, F. / 2006 / Mapping impervious surface area using high resolution imagery: a comparison of object-oriented classification to per-pixel classification / Proceedings of American Society of Photogrammetry and Remote Sensing Annual Conference

Palsson, F. / 2010 / Image fusion for classification of high resolution images based on mathematical morphology / Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International :492~495

M. Ehlers / 2008 / Quality assessments for multi-sensor multi-date image fusion / Procedding of XXIth International Congresss ISPRS :499~506

Chavez, P. S. / 1991 / Comparison of Three Different Methods to Merge Multi-Resolution and Multispectral Data: Landsat TM and SPOT Panchromatic / Photogrammetric Engineering & Remote Sensing 57(3):295~303

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