Processing with nonlinear filters satellite imagery

Karantzalos, KG; Georgopoulos, A

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	https://dspace.lib.ntua.gr/xmlui/handle/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