HEAL DSpace

Combining Anisotropic Diffusion and Alternating Sequential Filtering for Satellite Image Enhancement and Smoothing

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dc.contributor.author Karantzalos, KG en
dc.date.accessioned 2014-03-01T02:49:44Z
dc.date.available 2014-03-01T02:49:44Z
dc.date.issued 2004 en
dc.identifier.issn 0277786X en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/34711
dc.subject Alternating Sequential Filtering en
dc.subject Anisotropic Diffusion en
dc.subject Image Processing en
dc.subject Remote Sensing en
dc.subject.other Alternating sequential filtering en
dc.subject.other Anisotropic diffusion en
dc.subject.other Algorithms en
dc.subject.other Anisotropy en
dc.subject.other Computer vision en
dc.subject.other Feature extraction en
dc.subject.other Information retrieval en
dc.subject.other Optimization en
dc.subject.other Photogrammetry en
dc.subject.other Remote sensing en
dc.subject.other Image analysis en
dc.title Combining Anisotropic Diffusion and Alternating Sequential Filtering for Satellite Image Enhancement and Smoothing en
heal.type conferenceItem en
heal.identifier.primary 10.1117/12.511239 en
heal.identifier.secondary http://dx.doi.org/10.1117/12.511239 en
heal.publicationDate 2004 en
heal.abstract Automatic information extraction requires a processing system to encapsulate the content of the image. This is a non-trivial task, because of the complexity of the information stored in images. In this paper satellite image enhancement and smoothing towards automatic feature extraction is accomplished through an effective serial application of anisotropic diffusion processing and alternating sequential filtering. Nonlinear diffusion processes can be found in many recent methods for image processing and computer vision. A robust anisotropic diffusion filtering is used with Tukey's biweight robust error norm for ""edge-stopping"" function, which preserves sharper boundaries than previous formulations and improves the automatic stopping of the diffusion. A well-known class of morphological filters, alternating sequential filtering is applied afterwards for a more extended enhancement and smoothing. The effective processing scheme is demonstrated with examples; Results appear promising. en
heal.journalName Proceedings of SPIE - The International Society for Optical Engineering en
dc.identifier.doi 10.1117/12.511239 en
dc.identifier.volume 5238 en
dc.identifier.spage 461 en
dc.identifier.epage 468 en


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