Remote sensing image fusion has come a long way from research experiments to an operational image processing technology. Having established a framework for image fusion at the end of the 90s, we now provide an overview on the advances in image fusion during the past 15 years. Assembling information about new remote sensing image fusion techniques, recent technical developments and their influence on image fusion, international societies and working groups, and new journals and publications, we provide insight into new trends. It becomes clear that image fusion facilitates remote sensing image exploitation. It aims at achieving better and more reliable information to better understand complex Earth systems. The numerous publications during t...
Remote sensing image enhancement and processing is emerging area as it has demanding applications in...
Multi-source remote sensing image fusion was largely focused on in the recent years, especially in w...
In many applications the image quality of remote sensing data is of fundamental importance and is us...
The increase in the number of operational Earth observation satellites gives remote sensing image fu...
The exploitation of multi-sensor images at pixel level is a widely implemented research field in Ear...
Characterized by a certain focus on the heavily discussed topic of image fusion in its beginnings, s...
Image fusion techniques have interest within the remote sensing community. The reason of this is tha...
Remote sensing delivers multi-modal and -temporal data. Image fusion is a valuable tool to optimize ...
Abstract—The field of remote sensing is associated with an increasing amount of imagery data, missio...
A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifi...
With the development of satellite and remote sensing techniques, more and more image data from airbo...
Major technical constraints like minimum data storage at satellite platform in space, less bandwidth...
During the last decades number and quality of available remote sensing satellite sensors for Earth o...
Abstract—During the last two decades the require for better image quality and functionality has led ...
Data fusion is a formal framework in which is expressed means and tools for the alliance of data ori...
Remote sensing image enhancement and processing is emerging area as it has demanding applications in...
Multi-source remote sensing image fusion was largely focused on in the recent years, especially in w...
In many applications the image quality of remote sensing data is of fundamental importance and is us...
The increase in the number of operational Earth observation satellites gives remote sensing image fu...
The exploitation of multi-sensor images at pixel level is a widely implemented research field in Ear...
Characterized by a certain focus on the heavily discussed topic of image fusion in its beginnings, s...
Image fusion techniques have interest within the remote sensing community. The reason of this is tha...
Remote sensing delivers multi-modal and -temporal data. Image fusion is a valuable tool to optimize ...
Abstract—The field of remote sensing is associated with an increasing amount of imagery data, missio...
A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifi...
With the development of satellite and remote sensing techniques, more and more image data from airbo...
Major technical constraints like minimum data storage at satellite platform in space, less bandwidth...
During the last decades number and quality of available remote sensing satellite sensors for Earth o...
Abstract—During the last two decades the require for better image quality and functionality has led ...
Data fusion is a formal framework in which is expressed means and tools for the alliance of data ori...
Remote sensing image enhancement and processing is emerging area as it has demanding applications in...
Multi-source remote sensing image fusion was largely focused on in the recent years, especially in w...
In many applications the image quality of remote sensing data is of fundamental importance and is us...