Abstract

Abstract: More and more image data fromairborne / satellite sensors have become available with the advancement ofsatellite and remote sensing techniques. In order to gain more inferences thancan be made from a single sensor, multi-sensor image fusion attempts tointegrate information from different images. In image-based application areas,since the end of the last century, image fusion has emerged as a promisingresearch field. A summary of recent developments in multi-sensor satellite imagefusion is provided in the paper. First, with focus on their recentdevelopments, the most common current fusion algorithms are being introduced.Advances in the main fields of remote sensing applications, including objectidentification, classification, detection of changes and tracking ofmaneuvering targets, are described. The benefits and disadvantages of theseapps are then addressed. Recommendations are discussed, including: (1)Improving fusion algorithms; (2) Designing methods for 'algorithm fusion'; (3)Implementing an automated quality evaluation scheme.

Keywords: Multi-Sensor, Data Fusion, Remote Sensing.