In this paper we examine the comparative use of different types of wavelets for Quickbird multisensor image fusion, for the purposes of high-resolution urban mapping. Based on the Discrete Wavelet Transform, several types of standard wavelets were implemented and evaluated. The best wavelet fusion results were combined with the IHS image fusion method using two types of colour composites. The IHS image fusion method was also implemented. The crossbred wavelet and IHS transform provides the most accurate colour representation of the spectral information of the initial bands, improving also their spatial resolution. Based on the results of the evaluation, a high-resolution fusion-based map of Heraclion, Crete was produced.