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Sensors
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Information Extraction for Situation Awareness During Emergency Using Multi-Sensor Imagery
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Information Extraction for Situation Awareness During Emergency Using Multi-Sensor Imagery

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 5677

Special Issue Editors

Prof. Dr. Hong-Gyoo Sohn

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea
Interests: information extraction from multisensor imagery and LiDAR; drone mapping; mobile mapping system; optic sensor and SAR geometric modeling; emergency situation monitoring
Prof. Dr. Duk-Jin Kim

E-Mail Website
Co-Guest Editor
School of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea
Interests: satellite remote sensing; sar; thermal infrared sensor (TIR); optical sensor; disaster monitoring; deep learning; radar image processing; environmental changes; surface displacement; detection of volcanic eruption; sea ice thickness
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jungho Im

E-Mail Website
Co-Guest Editor
Department of Civil, Urban, Earth, and Environmental Engineering, UNIST (Ulsan National Institute of Science and Technology), Ulsan, Republic of Korea
Interests: satellite remote sensing; aerosols; air quality; wild fire; urban heatwave; drought; artificial intelligence; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, there has been a clear trend toward evidence-based decision making. Especially in emergency situations, any information coming from the relevant site is of great importance for decision makers. However, such evidence must be based on science and technology. In this Special Issue, we will be focusing on evidence stemming from multisensor imagery. Multisensors include imagery from satellites, airplanes, drones, MMSs (mobile mapping systems), CCTV, smartphones, etc. This Special Issue invites the submission of both review and original research articles related to extracting and using multisensor imagery to provide information for decision makers during emergencies and is open to contributions ranging from spaceborne to mobile and ground-fixed sensors, such as CCTV, as well as innovative approaches using fusion of multisensor imagery and LiDAR. Original contributions that look at integrated multisensor imagery with multi- or hyperspectral imagery are also encouraged.

Prof. Dr. Hong-Gyoo Sohn

Prof. Dr. Duk-jin Kim

Prof. Dr. Jungho Im

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. Sensors 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 2600 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

  • Information extraction from multisensor imagery during emergencies
  • Spaceborne image-based information
  • Airborne image-based information
  • Drone image-based information
  • MMS (mobile mapping system) image-based information
  • Smartphone image-based information
  • CCTV image-based information
  • Fusion of multi-imagery with LiDAR information
  • Multi- or hyperspectral image information

Published Papers (2 papers)

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24 pages, 7320 KiB  
Article
Critical Image Identification via Incident-Type Definition Using Smartphone Data during an Emergency: A Case Study of the 2020 Heavy Rainfall Event in Korea
by Yoonjo Choi, Namhun Kim, Seunghwan Hong, Junsu Bae, Ilsuk Park and Hong-Gyoo Sohn
Sensors 2021, 21(10), 3562; https://0-doi-org.brum.beds.ac.uk/10.3390/s21103562 - 20 May 2021
Cited by 3 | Viewed by 2763
Abstract
In unpredictable disaster scenarios, it is important to recognize the situation promptly and take appropriate response actions. This study proposes a cloud computing-based data collection, processing, and analysis process that employs a crowd-sensing application. Clustering algorithms are used to define the major damage [...] Read more.
In unpredictable disaster scenarios, it is important to recognize the situation promptly and take appropriate response actions. This study proposes a cloud computing-based data collection, processing, and analysis process that employs a crowd-sensing application. Clustering algorithms are used to define the major damage types, and hotspot analysis is applied to effectively filter critical data from crowdsourced data. To verify the utility of the proposed process, it is applied to Icheon-si and Anseong-si, both in Gyeonggi-do, which were affected by heavy rainfall in 2020. The results show that the types of incident at the damaged site were effectively detected, and images reflecting the damage situation could be classified using the application of the geospatial analysis technique. For 5 August 2020, which was close to the date of the event, the images were classified with a precision of 100% at a threshold of 0.4. For 24–25 August 2020, the image classification precision exceeded 95% at a threshold of 0.5, except for the mudslide mudflow in the Yul area. The location distribution of the classified images showed a distribution similar to that of damaged regions in unmanned aerial vehicle images. Full article
(This article belongs to the Special Issue Information Extraction for Situation Awareness During Emergency Using Multi-Sensor Imagery)
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16 pages, 7085 KiB  
Article
Sea Surface Imaging with a Shortened Delayed-Dechirp Process of Airborne FMCW SAR for Ocean Monitoring on Emergency
by Ji-hwan Hwang and Duk-jin Kim
Sensors 2020, 20(24), 7310; https://0-doi-org.brum.beds.ac.uk/10.3390/s20247310 - 19 Dec 2020
Cited by 1 | Viewed by 2429
Abstract
A sea surface imaging technique for an emergency response using a ready-made frequency modulated continuous wave–synthetic aperture radar (FMCW SAR) system and its experimental results are described in this paper. The optimal range of radiowave incidence angle for sea surface imaging was analyzed [...] Read more.
A sea surface imaging technique for an emergency response using a ready-made frequency modulated continuous wave–synthetic aperture radar (FMCW SAR) system and its experimental results are described in this paper. The optimal range of radiowave incidence angle for sea surface imaging was analyzed by a theoretical scattering model and measurement data, and it was properly applied to the FMCW SAR system by readjusting the delayed-dechirp process. Raw data acquired through flight experiments were reconstructed to SAR image by the range-doppler algorithm. To verify the performance of the reconstructed sea surface image, dual-channel images collected by the configuration of the along-track interferometry were used, and then performance indicators such as signal attenuation, coherence, and phase difference were analyzed. Through this experimental study, it was confirmed that the ready-made FMCW SAR system without a function of the incident angle control can also conduct limited missions for maritime observation. It is possible to be an alternative resource for emergency response, in which the cases are requiring urgent maritime disaster detection and analysis. Full article
(This article belongs to the Special Issue Information Extraction for Situation Awareness During Emergency Using Multi-Sensor Imagery)
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