Multimodality Imaging Systems for Remote Sensing

Dear Colleagues,

In recent years with the accelerated development of digital storage, processing and transmission systems, spectral imaging systems have become attractive for a variety of uses. In the wide range of uses you can find applications in the fields of medicine, the arts, the food and horticulture industry and many other applications in very diverse fields. Spectral sensing systems has proven to have great uniqueness in many different fields and today commercial spectral imaging systems can be found. As we look to the future it is expected that new spectral and polymetric systems will present and other multimodal imaging sensing systems will present.

The performance of ideal multimodal imaging sensing systems is ultimately limited by the approach used for their design. In addition to the ideal performance limitations, the real system performance is reduced due to the use of non-ideal implementation with non-ideal optical components. Up to recent years, most of the effort to improve spectral imaging system performance was made by trying to optimize the optical components. However, optimization of the optical component cannot improve the system performance beyond the limitations set by the physical approach of sensing.

The aim of this Special Issue “Multimodality imaging systems for remote sensing” is to publish new ideas and methods of multimodal imaging sensing systems by using new approaches and designs. Another aim is the description of experiments and information uses from systems multimodality imaging systems for different studies.

Dr. Isaac August
Dr. Anna Brook
Guest Editors

Manuscript Submission Information

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