Title :
A Systematic Approach to Wavelet-Decomposition-Level Selection for Image Information Mining From Geospatial Data Archives
Author :
Shah, Vijay P. ; Younan, Nicolas H. ; Durbha, Surya S. ; King, Roger L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS
fDate :
4/1/2007 12:00:00 AM
Abstract :
Recently, wavelet-based methods have been efficiently used for segmentation and primitive feature extraction to expedite the image-retrieval process of semantic-enabled frameworks for image information mining from geospatial data archives. However, the use of wavelets may introduce aliasing effects due to subband decimation at a certain decomposition level. This paper addresses the issue of selecting a suitable wavelet decomposition level, and a systematic selection process is developed. To validate the applicability of this method, a synthetic image is generated to qualitatively and quantitatively assess the performance. In addition, results for a Landsat-7 Enhanced Thematic Mapper Plus imagery archive are illustrated, and the F-measure is used to assess the feasibility of this method for the retrieval of different classes
Keywords :
data mining; feature extraction; geophysical techniques; image segmentation; wavelet transforms; F-measure; Landsat-7 Enhanced Thematic Mapper Plus; aliasing effects; feature extraction; geospatial data archives; image information mining; segmentation; subband decimation; wavelet decomposition; Data mining; Feature extraction; Image generation; Image retrieval; Image segmentation; Information retrieval; Knowledge based systems; Remote sensing; Satellite broadcasting; Wavelet transforms; Information retrieval; knowledge-based system; remote sensing; wavelet transforms;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2007.892005
