Referenced Items are not available for this document.
Image transformation is required for color-texture image segmentation. Various techniques are available for the transformation along the spatial and spectral axes. For instance, the HSV-wavelet technique is shown to be very effective for image information mining in remote-sensing applications. However, the HSV transformation approach uses only three spectral bands at a time. In this letter, a new feature set, obtained by combining independent component analysis and wavelet transformation for image information mining in geospatial data, is presented. Experimental results show the effectiveness of the presented method for image information mining in Earth observation data archives.
Published in:
Geoscience and Remote Sensing Letters, IEEE
(Volume:7
,
Issue:
1
)
Date of Publication: Jan. 2010
- Page(s):
- 18 - 22
- ISSN :
- 1545-598X
- INSPEC Accession Number:
- 11054271
- Digital Object Identifier :
- 10.1109/LGRS.2009.2020519
- Product Type:
- Journals & Magazines
- Date of Publication :
- 26 May 2009
- Date of Current Version :
- 12 January 2010
- Issue Date :
- Jan. 2010
- Sponsored by :
- IEEE Geoscience and Remote Sensing Society
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