Smoothing of Fused Spectral Consistent Satellite Images with TV-based Edge Detection

Johannes Sveinsson, Henrik Aanæs, Jon Atli Benediktsson

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Several widely used methods have been proposed for fusing high resolution panchromatic data and lower resolution multi-channel data. However, many of these methods fail to maintain the spectral consistency of the fused high resolution image, which is of high importance to many of the applications based on satellite data. Additionally, most conventional methods are loosely connected to the image forming physics of the satellite image, giving these methods an ad hoc feel. Vesteinsson et al. [1] proposed a method of fusion of satellite images that is based on the properties of imaging physics in a statistically meaningful way and was called spectral consistent panshapening (SCP). In this paper we improve this framework for satellite image fusion by introducing a better image prior, via data-dependent image smoothing. The dependency is obtained via total variation edge detection method.
    Original languageEnglish
    Title of host publicationIEEE Geoscience and Remote Sensing Symposium, 2007. IGARSS '07
    PublisherIEEE
    Publication date2007
    ISBN (Print)978-1-4244-1211-2
    DOIs
    Publication statusPublished - 2007
    Event2007 IEEE International Geoscience and Remote Sensing Symposium - Barcelona, Spain
    Duration: 23 Jul 200728 Jul 2007
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4422707

    Conference

    Conference2007 IEEE International Geoscience and Remote Sensing Symposium
    CountrySpain
    CityBarcelona
    Period23/07/200728/07/2007
    Internet address

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