DWT based MMRF segmentation algorithm for remote sensing image processing

Author

Zheng, Lei ; Chan, Andrew ; Liu, J. Steve

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

2

fYear

1999

fDate

1999

Firstpage

1332

Abstract

Image segmentation is very important for pattern recognition, ROI compression and information collection in remote sensing studies. In this paper, the authors propose an efficient image segmentation algorithm by using the discrete wavelet frame transform (DWFT) and multiresolution Markov random field (MMRF). This algorithm avoids the over-segmentation that is common in other segmentation algorithms. Their experiments show that the proposed algorithm is very robust and it can be successfully used under noisy conditions

Keywords

Markov processes; discrete wavelet transforms; geophysical signal processing; geophysical techniques; image segmentation; remote sensing; terrain mapping; DWT; MMRF; ROI compression; algorithm; discrete wavelet frame transform; geophysical measurement technique; image processing; image segmentation; multiresolution Markov random field; pattern recognition; remote sensing; Discrete wavelet transforms; Filters; Image analysis; Image coding; Image processing; Image segmentation; Markov random fields; Pattern recognition; Remote sensing; Wavelet analysis;

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.1999.774621

Filename

774621