Multiresolution and Multispectral Data Fusion Using Discrete Wavelet Transform with IRS Images: Cartosat-1, IRS LISS III and LISS IV |
| |
| Authors: | Anil Z Chitade S K Katiyar |
| |
| Institution: | (1) Department of Civil Engg, Maulana Azad National Institute of Technology Bhopal, Bhopal, 462051, MP, India |
| |
| Abstract: | Image fusion techniques integrate complimentary information from multiple image sensor data such that the new images are more
suitable for the purpose of human visual perception and computer based processing tasks for extraction of detail information.
As an important part of image fusion algorithms, pixel-level image fusion can combine spectral information of coarse resolution
imagery with finer spatial resolution imagery. Ideally, the method used to merge data sets with high-spatial and highspectral
resolution should not distort the spectral characteristics of the high-spectral resolution data. This paper describes the
Discrete Wavelet Transform (DWT) algorithm for the fusion of two images using different spectral transform methods and nearest
neighbor resampling techniques. This research paper investigates the performance of fused image with high spatial resolution
Cartosat-1(PAN) with LISS IV and Cartosat-1(PAN) sensor images with the LISS III sensor image of Indian Remote Sensing satellites.
The visual and statistical analysis of fused images has shown that the DWT method outperforms in terms of Geometric, Radiometric,
and Spectral fidelity. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
