Signal Processing Theory and Methods in Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: closed (9 February 2024) | Viewed by 23458
Special Issue Editors
Interests: remote sensing image processing; pattern recognition and machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: photogrammetry and remote sensing; image processing
Special Issues, Collections and Topics in MDPI journals
Interests: multi-dimensional signal/image precessing
Special Issues, Collections and Topics in MDPI journals
Interests: image/video representations and analysis; semi-supervised/unsupervised data modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Signal processing theory and methods play an important role in the development of remote sensing technologies. The scientists working on signal processing-related topics always bring new ideas that are often successfully applied in the processes of remote sensing, including data acquisition, compression, transformation, processing, and application. From conventional Fourier transformation to the latest deep neural networks, every development in signal processing areas certainly promotes the rapid growth of remote sensing technologies, and even motivates new remote sensing technologies. Every development of remote sensing technologies is inseparable from the theory and method of signal processing.
This Special Issue aims at studies covering signal processing theory and methods that are used in different stages of different kinds of remote sensing technologies. Topics may cover anything from classical signal processing theories (e.g., Fourier transformation and Wavelet transformation) to the latest intelligent signal processing theories (e.g., deep neural network). Hence, signal processing theory and methods that are used in the acquisition, compression, transmission, processing, and application of both optical and microwave remote sensing are welcome. Articles may address, but are not limited, to the following topics:
- Signal estimation in remote sensing;
- Signal reconstruction in remote sensing;
- Signal processing hardware for remote sensing;
- Signal filtering in remote sensing;
- Signal detection in remote sensing;
- Signal identification in remote sensing;
- Fourier Transform-based remote sensing;
- Fractional Fourier Transform-based remote sensing;
- Wavelet-based remote sensing;
- Compressive sensing-based remote sensing;
- Neural network-based remote sensing;
- Statistic signal processing for remote sensing;
- Intelligent signal processing for remote sensing.
Dr. Shaohui Mei
Dr. Xiuping Jia
Prof. Dr. Ran Tao
Dr. Junhui Hou
Guest Editors
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 submissions that pass pre-check are 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 semimonthly 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 2700 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.
Keywords
- signal processing
- remote sensing
- Fourier transform
- wavelet
- compressive sensing
- neural network
- statistic signal processing
- intelligent signal processing
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