Remote Sensing Image Fusion and Modeling

Dear Colleagues,

More than one thousand satellites are dedicated to Earth observation, providing a constant and huge flow of “remote sensing” images. Extraction of information from these images enables a better understanding of spatial and temporal evolution of natural and artificial phenomena. However, these images require being geographically registered in order to be efficiently used in a GIS (geographic information system). This process is known as “image fusion and modeling”. For example, when having many images of the same area, we can use a “super-resolution” algorithm in order to produce an image with a better resolution, or we can produce additional knowledge using a “deep learning” process. It is also interesting to mix information from images of different modalities and use a 3D support through a DEM (digital elevation model). Applications are numerous and deal with fields such as environment monitoring, urban planning, forestry, water management, agriculture, and several other ones, this list not being limited. Submissions will deal with methodology (algorithms, systems, etc.) and with applications.

Prof. Dr. Jean Sequeira
Prof. Dr. Xingfa Gu
Dr. Sébastien Mavromatis
Guest Editors

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