Multiresolution fuzzy clustering for SAR image segmentation

Author

Thitimajshima, Punya

Author_Institution

Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand

Volume

5

fYear

1999

fDate

1999

Firstpage

2507

Abstract

This paper describes a pyramid-based method for clustering single polarization synthetic aperture radar (SAR) images. A pyramid of the image is first constructed by using the wavelet transform. The fuzzy c-means (FCM) algorithm is then applied to the pyramid with the coarse-to-fine approach. Finally, clustering is followed by a majority filtering to obtain more homogeneous regions. The algorithm has been tested on JERS-1/SAR images, and the results demonstrate its potential usefulness

Keywords

geophysical signal processing; geophysical techniques; image classification; image segmentation; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; SAR; filter method; fuzzy c-means algorithm; geophysical measurement technique; homogeneous region; image segmentation; land surface; majority filtering; multiresolution fuzzy clustering; pyramid-based method; radar imaging; radar polarimetry; radar remote sensing; single polarization; synthetic aperture radar; terrain mapping; wavelet transform; Clustering algorithms; Filter bank; Filtering; Image resolution; Image segmentation; Iterative algorithms; Low pass filters; Pixel; Synthetic aperture radar; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.771558

Filename

771558