A Segment-Based Speckle Filter Using Multisensoral Remote Sensing Imagery

Author

Waske, Björn ; Braun, Matthias ; Menz, Gunter

Author_Institution

Center for Remote Sensing of Land Surfaces, Bonn Univ.

Volume

4

Issue

2

fYear

2007

fDate

4/1/2007 12:00:00 AM

Firstpage

231

Lastpage

235

Abstract

In the proposed approach, the well-known enhanced Lee filter is modified to allow the integration of feature outlines-previously extracted from segmented optical images. The filter is applied to several ENVISAT ASAR images that cover urban, agricultural, and forest areas during different plant phenological stages. The performance of this segment-based speckle filter is compared to those of other filters using ratio images, visual interpretation, and statistical indexes. The approach reduces the loss of radiometry and spatial information. It performs comparable to more complex methods and outperforms common techniques

Keywords

feature extraction; filtering theory; image segmentation; radar imaging; remote sensing by radar; sensor fusion; synthetic aperture radar; terrain mapping; vegetation mapping; ENVISAT ASAR images; Lee filter; agricultural areas; feature outline extraction; forest areas; multisensoral remote sensing imagery; optical images; plant phenological stage; radiometry; segment-based speckle filter; spatial information; speckle reduction; statistical index; synthetic aperture radar; urban areas; visual interpretation; Adaptive optics; Feature extraction; Image segmentation; Integrated optics; Optical filters; Optical losses; Optical sensors; Plants (biology); Remote sensing; Speckle; Multisensor; segmentation; speckle reduction; synthetic aperture radar (SAR);

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2006.888849

Filename

4156176