Multi-sensor data fusion plays an essential role in most robotic applications. Appropriate registration of information from different sensors is a fundamental requirement in multi-sensor data fusion. Registration requires significant effort particularly when sensor signals do not have direct geometric interpretations, observer dynamics are unknown and occlusions are present. In this paper, we p...

High resolution multi-temporal, multi-sensor remotely sensed data are often used in Earth observation applications. Image fusion is a widely used method to integrate those data, while image registration and radiometric normalization are two necessary procedures in transforming multi-temporal or multi-sensor data into identical geometric and radiometric bases respectively. This Ph.D research att...

Presently, a data fusion contest is conducted to compare the potential of airborne SAR with optical sensors for mapping applications. The goal of the test is to answer two questions: (1) Can state-of-the-art airborne SAR compete with optical sensors in the mapping domain? (2) What can be gained when SAR and optical images are used in combination, i.e., when methods for information fusion are ap...