Title :
Effects of Wavelets Selection on Performances of Hyperspectral Image Fusion
Author :
Wang, Qiang ; Shen, Yi
Author_Institution :
Harbin Inst. of Technol.
Abstract :
Wavelet transform (WT) based image fusion techniques have been widely studied and applied in hyperspectral data processing research. Generally, image decomposition, sub-image fusion, and image reconstruction are the main steps for a WT based image fusion. The performances of fusion methods are basically dependent on the fusion scheme and its related transform. In this paper, we mainly discuss the effects of wavelets on the image fusion process. The choice of wavelet bases for the wavelet transform approach is also discussed from a standpoint of fusion performances and computation cost
Keywords :
image processing; sensor fusion; wavelet transforms; hyperspectral data processing; image decomposition; image fusion process; image reconstruction; wavelet transform; Data processing; Hyperspectral imaging; Hyperspectral sensors; Image analysis; Image fusion; Image reconstruction; Performance evaluation; Signal resolution; Wavelet analysis; Wavelet transforms; Image Fusion; Performances Evaluation; Wavelet Transform;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328207
