Remote sensing delivers multi-modal and -temporal data from the Earth’s surface. In order to cope... more Remote sensing delivers multi-modal and -temporal data from the Earth’s surface. In order to cope with these multi-dimensional data sources and to make the most out of them, image fusion is a valuable tool. It has developed over the past few decades into a usable image processing technique for extracting information of higher quality and reliability. As more sensors and advanced image fusion techniques have become available, researchers have conducted a vast amount of successful studies using image fusion. However, the definition of an appropriate workflow prior to processing the imagery requires knowledge in all related fields − i.e. remote sensing, image fusion and the desired image exploitation processing. From the results, it is can be seen that the choice of the appropriate technique, as well as the fine tuning of the individual parameters of this technique, is crucial. There is still a lack of strategic guidelines due to the complexity and variability of data selection, processing techniques and applications. This paper describes the results of a project that forms part of a larger initiative to streamline data selection, application requirements and the choice of a suitable image fusion technique. It aims at collecting successful image fusion cases that are relevant to other users and other areas of interest around the world. From these cases, common guidelines which are valuable contributions to further applications and developments have been derived. The availability of these guidelines will help to identify bottlenecks, further develop image fusion techniques, make best use of existing multimodal images and provide new insights into the Earth’s processes. The outcome is a remote sensing image fusion atlas (book) in which successful image fusion cases are displayed and described, embedded in common findings and generally valid statements in the field of image fusion.
Remote sensing delivers multi-modal and -temporal data from the Earth’s surface. In order to cope... more Remote sensing delivers multi-modal and -temporal data from the Earth’s surface. In order to cope with these multi-dimensional data sources and to make the most out of them, image fusion is a valuable tool. It has developed over the past few decades into a usable image processing technique for extracting information of higher quality and reliability. As more sensors and advanced image fusion techniques have become available, researchers have conducted a vast amount of successful studies using image fusion. However, the definition of an appropriate workflow prior to processing the imagery requires knowledge in all related fields − i.e. remote sensing, image fusion and the desired image exploitation processing. From the results, it is can be seen that the choice of the appropriate technique, as well as the fine tuning of the individual parameters of this technique, is crucial. There is still a lack of strategic guidelines due to the complexity and variability of data selection, processing techniques and applications. This paper describes the results of a project that forms part of a larger initiative to streamline data selection, application requirements and the choice of a suitable image fusion technique. It aims at collecting successful image fusion cases that are relevant to other users and other areas of interest around the world. From these cases, common guidelines which are valuable contributions to further applications and developments have been derived. The availability of these guidelines will help to identify bottlenecks, further develop image fusion techniques, make best use of existing multimodal images and provide new insights into the Earth’s processes. The outcome is a remote sensing image fusion atlas (book) in which successful image fusion cases are displayed and described, embedded in common findings and generally valid statements in the field of image fusion.
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have conducted a vast amount of successful studies using image fusion. However, the definition of an appropriate workflow prior to processing the imagery requires knowledge in all related fields − i.e. remote sensing, image fusion and the desired image exploitation processing. From the results, it is can be seen that the choice of the appropriate technique, as well as the fine tuning of the individual parameters of this technique, is crucial. There is still a lack of strategic guidelines due to the complexity and variability of data selection, processing techniques and applications.
This paper describes the results of a project that forms part of a larger initiative to streamline data selection, application requirements and the choice of a suitable image fusion technique. It aims at collecting successful image fusion cases that are relevant to other users and other areas of interest around the world. From these cases, common guidelines which are valuable contributions to further applications and developments have been derived. The
availability of these guidelines will help to identify bottlenecks, further develop image fusion techniques, make best use of existing multimodal images and provide new insights into the Earth’s processes. The outcome is a remote sensing image fusion atlas (book) in which successful image fusion cases are displayed and described, embedded in common findings and generally valid statements in the field of image fusion.
have conducted a vast amount of successful studies using image fusion. However, the definition of an appropriate workflow prior to processing the imagery requires knowledge in all related fields − i.e. remote sensing, image fusion and the desired image exploitation processing. From the results, it is can be seen that the choice of the appropriate technique, as well as the fine tuning of the individual parameters of this technique, is crucial. There is still a lack of strategic guidelines due to the complexity and variability of data selection, processing techniques and applications.
This paper describes the results of a project that forms part of a larger initiative to streamline data selection, application requirements and the choice of a suitable image fusion technique. It aims at collecting successful image fusion cases that are relevant to other users and other areas of interest around the world. From these cases, common guidelines which are valuable contributions to further applications and developments have been derived. The
availability of these guidelines will help to identify bottlenecks, further develop image fusion techniques, make best use of existing multimodal images and provide new insights into the Earth’s processes. The outcome is a remote sensing image fusion atlas (book) in which successful image fusion cases are displayed and described, embedded in common findings and generally valid statements in the field of image fusion.