[Edw1989]
Segmentation of SAR Imagery Containing Forest Clear Cuts

Authors:Edwards Geoffrey, Jean-Marie Beaulieu

Conference:IEEE International Geoscience and Remote Sensing Symposium, IGARSS’89

 Vancouver, Canada

 July 10-14, 1989, vol. 3, pp. 1195-1197

Publisher:IEEE

URL:https://ieeexplore.ieee.org/document/576042

DOI:10.1109/IGARSS.1989.576042

Abstract:   A Hierarchical Step-Wise Optimisation (HSWO) algorithm has been adapted to the problem of identifying and mapping forest clear cuts in synthetic aperture radar (SAR) C-band imagery. Preliminary results are presented. The mean grey level of a segment is the most useful segment discriminator, especially for recent clear cuts, but relative segment size and the ratio of perimeter length to surface area (P/A) appear to be useful secondary discriminators. A filtered image which is segmented appears to be the most reliable for locating clear cuts, whereas the unfiltered image, when segmented, yields better boundary information. A method for combining both segment partitions is presented. All clear cuts in the sample were identified. Surface areas concord with manually estimated values.

@Conference{Edw1989,
author = {Edwards, Geoffrey and Beaulieu, Jean-Marie},
editor = {},
title = {Segmentation of {SAR} Imagery Containing Forest Clear Cuts},
booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS'89},
volume = {3},
publisher = {IEEE},
url = {https://ieeexplore.ieee.org/document/576042},
isbn = {},
doi = {10.1109/IGARSS.1989.576042},
address = {Vancouver, Canada},
pages = {1195-1197},
year = {1989},
month = {July 10-14},
abstract = {A Hierarchical Step-Wise Optimisation (HSWO) algorithm has been adapted to the problem of identifying and mapping forest clear cuts in synthetic aperture radar (SAR) C-band imagery.
Preliminary results are presented. The mean grey level of a segment is the most useful segment discriminator, especially for recent clear cuts, but relative segment size and the ratio of perimeter length to surface area (P/A) appear to be useful secondary discriminators. A filtered image which is segmented appears to be the most reliable for locating clear cuts, whereas the unfiltered image, when segmented, yields better boundary information. A method for combining both segment partitions is presented. All clear cuts in the sample were identified. Surface areas concord with manually estimated values.},
mypdf = {13},
keywords = {Clouds; Forestry; Image segmentation; Information filtering; Information filters; Layout; Partitioning algorithms; Pixel; Satellites; Synthetic aperture radar}
}

DOWNLOAD   from the Publisher

DOWNLOAD   this page printed version

© 1989 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Published in: 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,
Date of Conference: 10-14 July 1989
Date Added to IEEE Xplore: 06 August 2002
Conference Location: Vancouver, BC, Canada
Publisher: IEEE