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Remote Sensing in 2024

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 3869

Special Issue Editors


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Guest Editor
Senior Scientist (ST), U. S. Geological Survey (USGS), USGS Western Geographic Science Center (WGSC), 2255, N. Gemini Dr., Flagstaff, AZ 86001, USA
Interests: hyperspectral remote sensing, remote sensing expertise in a number of areas including: (a) global croplands, (b) agriculture, (c) water resources, (d) wetlands, (e) droughts, (f) land use/land cover, (g) forestry, (h) natural resources management, (i) environments, (j) vegetation, and (k) characterization of large river basins and deltas
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Interests: cloud remote sensing; aerosol remote sensing; trace gas remote sensing; snow remote sensing; radiative transfer
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Chemnitzer Straße 40, 09599 Freiberg, Germany
Interests: remote sensing; exploration; UAVs/drones; sensors; machine learning; spectroscopy; hyperspectral imaging; mineral exploration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In 2023, there were many significant developments in photogrammetry and remote sensing. By combining remote sensing with new methodologies, e.g., object-based image analysis (OBIA), machine/deep learning, and time-series analysis, scientists have made new discoveries leading to major achievements in the fields of geoscience, atmosphere, etc.

To highlight another consecutive year of excellence, and to begin the new year on the right foot, a Special Issue entitled “Remote Sensing in 2024” is being launched. This Special Issue will provide directions and guidance and serve as a point of reference for scholars to begin their research in 2024. This Special Issue will collect high-quality, original research and comprehensive reviews in all areas of interest covered by Remote Sensing. The Special Issue aims to collect papers from our Editors-in-Chief, Editorial Board Members, Guest Editors, society members, authors, and reviewers of Remote Sensing. We kindly encourage all research groups to contribute up-to-date results from the latest developments in your laboratory.

Dr. Prasad S. Thenkabail
Dr. Alexander Kokhanovsky
Dr. Richard Gloaguen
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.

New Year Special Issue Series

This Special Issue is a part of Remote Sensing’s New Year Special Issue Series. The series reflects on the achievements, scientific progress, and “hot topics” of the previous year in the journal. Submissions of articles whose lead authors are our Editorial Board Members are highly encouraged. However, we welcome articles from all authors.

Keywords

  • remote sensing
  • satellite
  • image analysis

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Published Papers (1 paper)

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Research

15 pages, 4321 KiB  
Article
Feasibility Study of Real-Time Speech Detection and Characterization Using Millimeter-Wave Micro-Doppler Radar
by Nati Steinmetz and Nezah Balal
Remote Sens. 2025, 17(1), 91; https://doi.org/10.3390/rs17010091 (registering DOI) - 29 Dec 2024
Viewed by 318
Abstract
This study presents a novel approach to remote speech recognition using a millimeter-wave micro-Doppler radar system operating at 94 GHz. By detecting micro-Doppler speech-related vibrations, the system enables non-contact and privacy-preserving speech recognition. Initial experiments used a piezoelectric crystal to simulate vocal cord [...] Read more.
This study presents a novel approach to remote speech recognition using a millimeter-wave micro-Doppler radar system operating at 94 GHz. By detecting micro-Doppler speech-related vibrations, the system enables non-contact and privacy-preserving speech recognition. Initial experiments used a piezoelectric crystal to simulate vocal cord vibrations, followed by tests with actual human speech. Advanced signal processing techniques, including short-time Fourier transform (STFT), were used to generate spectrograms and reconstruct speech signals. The system demonstrated high accuracy, with cross-correlation analysis quantitatively confirming a strong correlation between radar-reconstructed and original audio signals. These results validate the effectiveness of detecting and characterizing speech-related vibrations without direct audio recording. The findings have significant implications for applications in noisy industrial environments, enabling robust voice interaction capabilities, as well as in healthcare diagnostics and assistive technologies, where contactless and privacy-preserving solutions are essential. Future research will explore diverse real-world scenarios and the integration of advanced signal processing and machine learning techniques to further enhance accuracy and robustness. Full article
(This article belongs to the Special Issue Remote Sensing in 2024)
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