The Musique Multispectral Texture (MMT) model is a method of adding realistic multispectral textures to synthetic images created using DIRSIG (Digital Imaging and Remotes Sensing laboratories Image generation Model). This method relies on an input texture image and a large family of reflectance curves which represent the desired texture material. This thesis has two main objectives. The first is to determine the best method of generating the input textures, and the second is to test the quality of the multispectral textures generated by the MMT model. The testing will involve both statistical and human visual analysis. The thesis intends to prove whether the MMT model can be used to create statistically accurate multispectral textures from a single band input texture and which input texture leads to the best output texture
