Title :
Fusion of Satellite Images Using Multiwavelet Transform
Author :
Vani, K. ; Ramya, P. Padma
Author_Institution :
Anna Univ., Guindy
Abstract :
The image sensors of the satellite can focus only on a particular operating range and environmental conditions, so it may not receive all the information necessary and each of the input images conveys important information that cannot be discarded. Scalar wavelet fusion scheme cannot possess all the properties necessary for producing images of sophisticated multisource data. Multiwavelet fusion scheme can offer more defined features in the fused image than any of the individual source images because of its ability to merge images in multiwavelet space, different frequency are processed differently. The paper is an attempt to combine multisensor images to obtain a single composite image with extended information using multiwavelet fusion scheme. The paper proposes a new fusion algorithm for combining the two source images get better quality image.
Keywords :
image fusion; wavelet transforms; image sensors; multiwavelet transform; satellite image fusion; Artificial satellites; Discrete wavelet transforms; Frequency; Image fusion; Image sensors; Signal analysis; Signal resolution; Spatial resolution; Wavelet analysis; Wavelet coefficients; Multisensor images; feature selection; image fusion; multiwavelet transform; pixel level fusion;
Conference_Titel :
Signal Processing, Communications and Networking, 2008. ICSCN '08. International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-1924-1
Electronic_ISBN :
978-1-4244-1924-1
DOI :
10.1109/ICSCN.2008.4447209