The nature of statistical learning theory
The nature of statistical learning theory
Remote Sensing and Image Interpretation
Remote Sensing and Image Interpretation
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction
Image Fusion Based on Wavelet Transform
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01
Pansharpening of high and medium resolution satellite images using bilateral filtering
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
| Hi-index | 0.00 |
Image fusion is a basic tool for combining low spatial resolution multi-spectral and high spatial resolution panchromatic images using advanced image processing techniques. Study on efficient image fusion method for specific application is one of the most important objectives in current remote sensing community. On the other hand, it is well known that the image classification techniques combine complex processes that may be affected by factors like the resolution of remote sensed images. This study focuses on the influence of image fusion on spectral classification algorithms and their accuracy. Results are presented on SPOT images. The best results were achieved by Dual Tree Complex Wavelet Transform (DT-CWT)).