ABSTRACT
Advances in sensor technology have produced a large variety of sensors capable of capturing different kinds of information from the Earth’s observation satellites, with different characteristics and modalities, depending on their use, for example, multisensor, multitemporary, multiresolution, and multifrequency [1-3]. Sensors, however, present technological limitations that affect image acquisition characteristics, for instance, multispectral (MS) sensors may capture images with high spectral resolution, but with lower spatial resolutions than panchromatic (PAN) sensor. Climate conditions also pose limitations to sensor technology as is the case of cloudy conditions that limit the range of optical sensors. Radar sensors overcome this limitation, but they are seriously impaired by the presence of speckle. Owing to these facts, in recent years, image fusion has become one of the most important and useful tasks for the remote sensing community.
