Special Issue "Ghost Imaging for Remote Sensing"
Deadline for manuscript submissions: 15 January 2019
Dr. Pengda Hong
Electrical and Computer Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, USA
Interests: imaging techniques; nano-measurement; remote sensing; image processing; image restoration; nonlinear optics; lasers; optical parametric oscillation; terahertz’s generation and applications
Ghost imaging holds promise for important applications, such as remote sensing in a low-level light environment. In a ghost imaging setup, a camera, which functions as a single-pixel bucket-like detector, aims and monitors the surface of a target, while a reference camera with a high spatial resolution measures fluctuations of light affected by the surroundings from a wider field of view. Such fluctuations can be pre-determined. Coincidence detection of the target and surroundings reveals the structure of the target, as well as information about the surrounding environment. After all the data collected by employing such an imaging setup are processed by complex algorithms, the processed data provide a rich spectrum of information about the target. What is unique about ghost imaging lies in its capability of providing better sensitivity than all the other conventional imaging techniques, in a low-level light environment. Moreover, such a technique has applications in 3D remote sensing, object tracking, imaging through turbid media, super-resolution imaging, and so on.
Recently, there has been an increasing interest in reaching high resolutions in imaging under low-level light conditions and/or through turbid media. Ghost imaging sheds light on how to achieve such a goal. There are many parameters affecting the performance of ghost imaging protocols in the resolution and visibility of images, such as light sources, designs of optical path, propagation distance, image processing, and so on. Deep learning and other AI tools have been introduced in the literature for improving the performance of ghost imaging.
We call for original papers on topics relevant to ghost imaging. These seminal contributions are expected to bring about novel ideas in order to build more sensitive and innovative setups for the applications of ghost imaging in remote sensing.
The topics of interest for this Special Issue on “Ghost imaging for remote sensing” include, but are not limited to:
- Novel theories and concepts in ghost imaging
- Quantum ghost imaging based on non-classical phenomena
- Reflection and transmission configurations for ghost imaging systems and protocols
- Advances in optical tools for ghost imaging in remote sensing
- Development of laser sources and beam path designs in ghost imaging
- Frontier in computational ghost imaging
- Image processing algorithms optimized to data collection in ghost imaging
- Emerging deep learning and other artificial intelligence techniques for ghost imaging
- Comparison study of ghost imaging with other imaging techniques
- Applications of ghost imaging in remote sensing, especially in the presence of turbulent and other distorting media.
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Ghost imaging
- Reflection and transmission configurations
- Optical protocols
- Computational imaging
- Imaging processing
- Deep learning
- Remote sensing