Article
Geochemistry & Geophysics
Xinhua Mao, Tianyue Shi, Ronghui Zhan, Yu-Dong Zhang, Daiyin Zhu
Summary: This article presents a new interpretation of the polar format algorithm for general bistatic spotlight synthetic aperture radar imaging, analyzing the roles of range and azimuth resampling on residual 2-D phase error and proposing a structure-aided 2-D autofocus approach to improve accuracy. Experimental results demonstrate the effectiveness of the proposed approach.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Sang-Eun Park, Yoon Taek Jung, Hyun-Cheol Kim
Summary: This study explores the possibility of using combined interpretation of optical and SAR data to identify and understand the spatiotemporal changes in the permafrost active layer. The results show a significant correlation between winter changes observed in SAR data and summer land cover changes observed in optical data. Additional data from independent sources also support this relationship.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Engineering, Electrical & Electronic
Takuma Watanabe, Hiroyoshi Yamada
Summary: This article introduces a novel method for estimating crack orientation on a metallic surface using linearly polarized circular synthetic aperture radar imaging. The proposed method was validated through numerical simulation and laboratory measurements, with angular estimation errors within 5.1 degrees.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Aerospace
Michael Inggs
Summary: This document summarizes the achievements in synthetic aperture radar (SAR) technology during the 50-year existence of the Aerospace and Electronic Systems Society. Advances in radar technology, driven by the digital revolution, have led to the widespread application of SAR in various fields. The development of coherent radar during World War II enabled the formation of large synthetic apertures, resulting in microwave images with high resolution that are unaffected by time and weather. The article traces the history of SAR technology from airborne platforms to satellites and discusses its achievements. SAR technology has now entered the phase of commercial exploitation, with a significant increase in available systems.
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE
(2023)
Article
Engineering, Electrical & Electronic
Biao Zhang, Ziqiang Zhu, William Perrie, Jie Tang, Jun A. Zhang
Summary: A simple method using radiometer and SAR wind field data to estimate tropical cyclone wind structure and intensity has been presented. The method shows high accuracy and reliability compared to best-track estimates, providing effective measurements for wind radii and intensity parameters.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Hongyang An, Junjie Wu, Kah Chan Teh, Zhichao Sun, Zhongyu Li, Jianyu Yang
Summary: This article proposes an efficient video formation method for video SAR systems with reduced data, modeling the observed scene as a sum of low-rank and sparse tensors and using a tensor alternating direction method of multiplier. Compared to traditional imaging methods, the proposed approach greatly reduces the amount of data samples.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Leilei Xu, Peng Liu, Bingji Zhao, Qingjun Zhang, Yaqiu Jin
Summary: An adaptive channel balancing algorithm based on a 2-D Gaussian kernel function is proposed to address the magnitude and phase errors between channels in a multichannel SAR/GMTI system. The algorithm effectively eliminates the errors and improves the coherence between different channels, as demonstrated by real airborne SAR data.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Xin Zhang, Chunlei Huo, Nuo Xu, Hangzhi Jiang, Yong Cao, Lei Ni, Chunhong Pan
Summary: This study introduces a multitask learning-based object detector (MTL-Det) to improve ship detection performance in SAR images by modeling the problem as three cooperative tasks and utilizing auxiliary subtasks to enhance feature learning. The approach effectively addresses the challenges posed by speckle noise in SAR images and outperforms traditional single-task-based object detectors.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Yuri Alvarez Lopez, Jaime Laviada, Ana Arboleya, Fernando Las-Heras
Summary: Synthetic aperture radar (SAR)-based microwave imaging systems are widely used in various applications. The scanning speed is a crucial factor in SAR imaging systems, and widening the distance between measurements can increase it. However, this causes the presence of grating lobes that degrade the quality of microwave SAR images. To address this issue, a novel methodology is proposed in this study, which incorporates the amplitude and phase of the field radiated by the transmitting and receiving antennas in the backpropagation imaging algorithm. This method exploits the directive pattern of the antennas to reduce the level of grating lobes in SAR images.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Geochemistry & Geophysics
Yijiang Nan, Xiaojing Huang, Y. Jay Guo
Summary: This article proposes a new panoramic SAR which combines linear and rotational SARs to reconstruct a large 360 degrees panoramic view of the observed scene. It introduces the system geometry, imaging process, resolution analysis, sampling criteria, and a novel dynamic piecewise compensation algorithm. A prototype of panoramic SAR is built based on an FMCW radar and a moving platform, and simulation and experimental results are provided to validate the proposed principle and algorithm.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Xianjian Shi, Yifei Wu, Qing Guo, Ni Li, Zhiyong Lin, Hua Qiu, Bin Pan
Summary: This research introduces a new method called SPAUNet to address the challenges of noise and information redundancy in landslide detection using synthetic aperture radar (SAR) amplitude data. Empirical analysis shows that SPAUNet outperforms baseline models and highlights the importance of choosing the appropriate polarization combination for the region.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Marco Polcari, Emanuele Ferrentino, Christian Bignami, Sven Borgstrom, Rosa Nappi, Valeria Siniscalchi
Summary: In this article, several change detection techniques based on satellite SAR data have been evaluated for detecting landslides and mudflows on Ischia Island, Italy. The results show that both single-polarimetric and dual-polarimetric techniques are effective, with the dual-polarimetric techniques outperforming the single-polarimetric ones. Detecting and mapping these phenomena are important for evaluating the affected area and supporting first aid and post-crisis management.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Remote Sensing
Kai Zhao, Yan Zhou, Xin Chen, Bing Wang, Yong Zhang
Summary: Research on ship detection in Synthetic Aperture Radar (SAR) images has led to the development of a detector that does not require pre-training, using a unique network structure and feature handling strategy to successfully address the detection of small and multi-scale targets.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Chao Liu, Mohammad Tayeb Al Qaseer, Reza Zoughi
Summary: The proposed method extracts complex permittivity from SAR images of multilayered structures by compensating for various issues through calibration and optimization processes, showing potential for accurate nondestructive evaluation purposes.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Geosciences, Multidisciplinary
Alessandro Cesare Mondini, Fausto Guzzetti, Kang-Tsung Chang, Oriol Monserrat, Tapas Ranjan Martha, Andrea Manconi
Summary: Landslides are geomorphological processes with serious threats to people, property, and the environment on all continents. Investigators have shown increasing interest in using Synthetic Aperture Radar (SAR) imagery for landslide detection and mapping, but challenges remain to be faced for effective utilization.
EARTH-SCIENCE REVIEWS
(2021)
Article
Engineering, Civil
Hiroki Ishibashi, Mitsuyoshi Akiyama, Dan M. Frangopol, Shunichi Koshimura, Takayuki Kojima, Kengo Nanami
Summary: The paper establishes a framework for assessing road networks under seismic and tsunami hazards, quantifying risk and resilience while considering uncertainties and discussing retrofitting priorities.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2021)
Article
Engineering, Civil
Hiroki Ishibashi, Mitsuyoshi Akiyama, Takayuki Kojima, Koki Aoki, Shunichi Koshimura, Dan M. Frangopol
Summary: The amount of disaster waste is a key indicator of community resilience, which can have negative impacts on the environment. Effective waste management should be implemented in Japan before the Nankai Trough earthquake. Utilizing Monte Carlo simulation and hazard fragility curves can help estimate the risk of disaster waste.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2021)
Article
Geochemistry & Geophysics
Luis Moya, Christian Geis, Masakazu Hashimoto, Erick Mas, Shunichi Koshimura, Gunter Strunz
Summary: This article discusses the application of machine learning in identifying damaged buildings after large-scale disasters, with a focus on disaster intensity that can be modeled numerically or instrumentally. Two automatic procedures for detecting severely damaged buildings are introduced to avoid the time cost of collecting labeled building samples through field surveys or visual inspection of optical images.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Engineering, Civil
Abdul Kadir Alhamid, Mitsuyoshi Akiyama, Hiroki Ishibashi, Koki Aoki, Shunichi Koshimura, Dan M. Frangopol
Summary: This paper presents a novel framework for probabilistic tsunami hazard assessment, considering the sea-level rise and associated uncertainties. An illustrative example is provided, in which the proposed framework is applied to several municipalities in the Mie Prefecture of Japan that would be affected by tsunamis during the anticipated Nankai-Tonankai earthquake. The effects of sea-level rise on the tsunami hazard intensities associated with the municipalities are discussed.
Article
Geosciences, Multidisciplinary
Keitaro Ohno, Yusaku Ohta, Ryota Hino, Shunichi Koshimura, Akihiro Musa, Takashi Abe, Hiroaki Kobayashi
Summary: This study proposes a new method for estimating the uncertainty of coseismic slip distribution and applies it to tsunami inundation prediction. By developing a real-time analysis system and using Markov chain Monte Carlo methods, researchers successfully estimated the slip distribution and its uncertainty and developed a new visualization procedure for displaying tsunami inundation risk and probability.
EARTH PLANETS AND SPACE
(2022)
Article
Geosciences, Multidisciplinary
Eri Ito, Takato Kosaka, Michinori Hatayama, Luisa Urra, Erick Mas, Shunichi Koshimura
Summary: In this study, agent-based tsunami evacuation simulations were conducted in Zihuatanejo, Guerrero, Mexico to propose a new method for extracting difficult-to-evacuate areas (DEA). By validating experiments, it was found that the subdistrict in the center of the target area should be given the highest priority for measures.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Editorial Material
Geosciences, Multidisciplinary
Shunichi Koshimura
JOURNAL OF DISASTER RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Kenta Sato, Koji Kawasaki, Shunichi Koshimura
Summary: This study proposes a single-phase free-surface flow model based on the cumulant LBM using the volume-of-fluid (VOF) model to capture the interface. It demonstrates that the cumulant LBM is stable under violent flows and reproduces the density field accurately. The proposed model shows good agreement with previous experimental results.
COMPUTERS & FLUIDS
(2022)
Article
Engineering, Civil
Abdul Kadir Alhamid, Mitsuyoshi Akiyama, Koki Aoki, Shunichi Koshimura, Dan M. Frangopol
Summary: This paper presents a novel framework for the time-variant assessment of tsunami hazard considering the effects of nonstationary sea-level rise due to climate change based on a non-Poisson stochastic renewal process. The framework models the time-variant probabilistic sea-level rise using various climate models and existing data, and estimates the conditional tsunami hazard curves considering sea-level rise through tsunami propagation analyses and Monte Carlo simulation.
Article
Chemistry, Multidisciplinary
Daiki Hachiya, Erick Mas, Shunichi Koshimura
Summary: Humanitarian logistics plays a vital role in large-scale disasters for quick and sufficient transportation of emergency relief supplies. The use of UAVs to transport supplies is attracting attention due to their convenience. However, existing transportation planning for UAVs may not meet post-disaster supply requirements. This study proposes transportation planning using three performance metrics and Q-learning to optimize the problem. The results suggest improved stability in the supply of emergency relief supplies compared to other models.
APPLIED SCIENCES-BASEL
(2022)
Article
Oceanography
Reika Nomura, Saneiki Fujita, Joseph M. Galbreath, Yu Otake, Shuji Moriguchi, Shunichi Koshimura, Randall J. LeVeque, Kenjiro Terada
Summary: This study presents a method for detecting tsunami scenarios using observational wave data, combining orthogonal decomposition and Bayesian update techniques. With offline learning and online updating, it can provide real-time prediction of tsunami risks and hazards.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2022)
Article
Environmental Sciences
Hideomi Gokon, Fuyuki Endo, Shunichi Koshimura
Summary: In this study, a method of multi-scale SAR analysis using ALOS-2/PALSAR-2 data was proposed for flood detection in built-up areas. Features were determined by calculating standard deviation images, difference images, and correlation coefficient images, and segmentation on both small and large scales was applied. Machine learning models were used for flood detection and the results showed that multi-scale analysis outperformed small-scale analysis.
Article
Engineering, Electrical & Electronic
Luis Moya, Erick Mas, Shunichi Koshimura
Summary: Floods are increasing worldwide every year, and remote sensing data plays a crucial role in identifying the extent of floods. However, there is limited research on estimating inundation depth. This study proposes a method using sparse representation to estimate inundation depths and validates its accuracy through field surveys.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Fumihiko Imamura, Anawat Suppasri, Taro Arikawa, Shunichi Koshimura, Kenji Satake, Yuichiro Tanioka
Summary: This paper summarizes the tsunami caused by the Tonga submarine volcanic eruption in Japan on January 15, 2022, and its impact on the country. The article highlights the blind spot in Japan's tsunami monitoring and warning system exposed by this tsunami, and provides detailed information on the arrival of the tsunami, the actual evacuation process, and the damage it caused. While there were no casualties, difficulties were encountered during the evacuation process, and damage to aquaculture facilities resulted in a decrease in the supply of marine products with potential economic implications.
PURE AND APPLIED GEOPHYSICS
(2022)
Article
Geosciences, Multidisciplinary
Luis Moya, Fernando Garcia, Carlos Gonzales, Miguel Diaz, Carlos Zavala, Miguel Estrada, Fumio Yamazaki, Shunichi Koshimura, Erick Mas, Bruno Adriano
Summary: Lima, the capital of Peru, attracts a large number of residents in search of a better life. Many citizens live in informal housing and shack settlements due to lack of housing subsidies. A common social phenomenon in Lima is the illegal occupation of urban areas. When such areas are unsafe due to natural hazards, it is crucial to relocate the population to prevent future losses. This study demonstrates the use of Sentinel-1 synthetic aperture radar (SAR) images to map the extent of a recent illegal occupation in an area with unfavorable soil conditions against earthquakes.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)