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Processing with nonlinear filters satellite imagery

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dc.contributor.author Karantzalos, KG en
dc.contributor.author Georgopoulos, A en
dc.date.accessioned 2014-03-01T02:49:34Z
dc.date.available 2014-03-01T02:49:34Z
dc.date.issued 2003 en
dc.identifier.issn 0277786X en
dc.identifier.uri http://hdl.handle.net/123456789/34614
dc.subject Feature Extraction en
dc.subject Image Processing en
dc.subject Nonlinear Filters en
dc.subject Satellite Image en
dc.subject.other Feature extraction en
dc.subject.other Image enhancement en
dc.subject.other Nonlinear filtering en
dc.subject.other Satellites en
dc.subject.other Satellite imagery en
dc.subject.other Image sensors en
dc.title Processing with nonlinear filters satellite imagery en
heal.type conferenceItem en
heal.identifier.primary 10.1117/12.477735 en
heal.identifier.secondary http://dx.doi.org/10.1117/12.477735 en
heal.publicationDate 2003 en
heal.abstract This paper describes the aim towards a nonlinear processing system for satellite image enhancement and smoothing that prepares image for a successful feature extraction through edge detection. Emphasis was given to coastlines, man made objects such as airports, dams, buildings and linear features such as roads and parcel boundaries. Rank order morphological operators and adaptive filtering were employed leading to a promising result. Adaptive filtering was adopted to smooth the image, homogenize regions and at the same time prohibit edge blurring, since high frequency areas in the image are protected. Morphological operators based on rank filters were also implemented because they are often more robust to noise and shape variations than morphological operators with plain structuring element. A survey concerning the shape and the size for the structuring element used for the morphological operators is presented. Structuring element's shape can lead to certain transformation of desired features geometry and size controls the scale space, trying to retain only features at certain desirable scales. The nonlinear processing system was applied to SPOT HRV (10-meters ground resolution) and IKONOS PAN (1-meter ground resolution) satellite imagery and is demonstrated with examples. en
heal.journalName Proceedings of SPIE - The International Society for Optical Engineering en
dc.identifier.doi 10.1117/12.477735 en
dc.identifier.volume 5014 en
dc.identifier.spage 392 en
dc.identifier.epage 398 en


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