The techniques for fusion of satellite images with different spatial resolutions aims to enhance the image quality, that allows a better visual interpretation. Ideally, the resulting image must keep the spectral resolution, leading to a more precise image segmentation and classification. Many different methods have been proposed to perform image fusion for medium resolution images (e.g., Landsat TM and SPOT). The launching of IKONOS satellite became possible the obtaining of high spatial resolution images (1 meter in panchromatic mode). These images have spatial information for mapping applications and analysis of urban areas. However, the multispectral images, that provide the most relevant information for thematic applications, are obtained with spatial resolution of 4 meters. This work compares the experimental results of 5 traditional methods (Band Substitution, IHS Transformation, HSV Transformation, Principal Component Substitution and High-Pass Filtering) applied to fusion of multispectral and panchromatic images of IKONOS, and evaluates the applicability of these methods for high resolution images. The analysis of the results are done by: 1) visual inspection, 2) statistical comparison by correlation coefficient, and 3) classification of the resulting image. The test area corresponds to an urban region with different types of land cover.