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Minimum distance texture classification of SAR images using wavelet packets


Reference:

Fletcher, N. D. and Evans, A. N., 2002. Minimum distance texture classification of SAR images using wavelet packets. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS '02), 2002-06-24 - 2002-06-28, Toronto.

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Official URL:

http://dx.doi.org/10.1109/IGARSS.2002.1026141

Abstract

A multi-scale texture segmentation algorithm for SAR images based on the discrete wavelet transform is presented. Responses from different sub-bands are used to form a feature vector for each pixel position that is the input to the classification scheme. To further improve the classification results, the tree-structured wavelet packet transform is used to automatically identify a suitable sub-set of elements from the feature vector. Results show that this approach is effective for both the redundant and non-redundant wavelet transforms.

Details

Item Type Conference or Workshop Items (Paper)
CreatorsFletcher, N. D.and Evans, A. N.
DOI10.1109/IGARSS.2002.1026141
Uncontrolled Keywordsgeophysical signal processing, image texture, radar imaging, feature vector, multi-scale texture segmentation algorithm, image segmentation, remote sensing by radar, redundant wavelet transforms, sar images, discrete wavelet transforms, minimum distance texture classification, synthetic aperture radar, sub-bands tree-structured wavelet packet transform, image classification, discrete wavelet transform, wavelet packet, nonredundant wavelet transforms
DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
RefereedYes
StatusPublished
ID Code14924

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