Article
Engineering, Aerospace
T. Yu, S. W. Xu, B. Y. Tao, W. Z. Shao
Summary: Continuous temporal and spatial monitoring of the coastline is crucial for environmental protection. This study used multi-source satellite remote sensing images to extract waterlines and proposed a threshold segmentation method. Accuracy assessment revealed differences among datasets, but the fusion of optical and microwave remote sensing images allows for better coastline monitoring.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Emanuele Ferrentino, Andrea Buono, Ferdinando Nunziata, Armando Marino, Maurizio Migliaccio
Summary: This study focuses on coastline extraction using multipolarization spaceborne synthetic aperture radar (SAR) imagery in coastal intertidal areas. The experimental results show that multipolarization information outperforms single-polarization, and that the best accuracy is achieved when nonlocal speckle filtering and dual-polarization information are combined.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Muhammad Amjad Iqbal, Andrei Anghel, Mihai Datcu
Summary: This letter proposes a novel method for coastline extraction using synthetic aperture radar data, which relies on the Doppler parameter to delineate coastlines in the absence of in-situ data and cloud-free optical images. Results indicate that utilizing scattering from dual and cross-polarization for coastline extraction is more reliable than using co-polarization.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
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
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
Environmental Sciences
Ruonan Zhao, Zhabko Andrey Viktorovich, Junfeng Li, Chuang Chen, Meinan Zheng
Summary: This paper presents a strategy for extracting three-dimensional mining deformation using single-geometry SAR data. The methodology includes modeling the relationship between horizontal displacement and subsidence gradient and proposing a solution strategy to improve stability. The proposed method allows for the reconstruction of 3D displacements in mining areas using various types of SAR data. The effectiveness of the method is validated through simulation and in-site data, showcasing its applicability in mining deformation monitoring.
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
Environmental Sciences
Liang Li, Xiaoling Zhang, Bokun Tian, Chen Wang, Liming Pu, Jun Shi, Shunjun Wei
Summary: An adaptive threshold ROI extraction algorithm is proposed to enhance the anti-interference ability of existing image segmentation methods, significantly improving the effectiveness of target extraction.
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
Environmental Sciences
Sihan Xue, Xupu Geng, Lingsheng Meng, Ting Xie, Lei Huang, Xiao-Hai Yan
Summary: HISEA-1, the first C-band SAR small satellite for ocean remote sensing, was launched on 22 December 2020. Despite its small size, it has high spatial resolution and a large observation width, producing diverse images with rich information such as sea ice, wind, waves, ships, and oil film, making it a reliable and powerful instrument for observing oceans and lands.
Article
Geochemistry & Geophysics
Lizwe Wandile Mdakane, Waldo Kleynhans
Summary: The study aims to develop a monitoring system for automatically detecting oil spill events caused by vessels in African Oceans and identify critical features for distinguishing oil spills from look-alikes. Investigation of common feature selection methods and classifiers reveals consistent significance of certain features across all methods.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
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
Yongsheng Zhou, Hanchao Liu, Fei Ma, Zongxu Pan, Fan Zhang
Summary: This article proposes a sidelobe-aware small ship detection network for SAR imagery. Dual-pooling is utilized to build a feature extraction module, which reduces the influence of sidelobes and blurred outlines and enhances ship body information. The network structure is enriched by concatenating different feature maps and a novel loss function based on dual Euclidean distances is introduced to accurately describe overlapping box situations.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(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
Junjie Wang, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li
Summary: This study proposes a dual path denoising network (DPDNet) for SAR image change detection, which utilizes random label propagation and distinctive patch convolution techniques to enhance computational efficiency and accuracy.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Lucio Mascolo, Juan M. Lopez-Sanchez, Shane R. Cloude
Summary: This study proposes a method to remove thermal noise from Sentinel-1 synthetic aperture radar data and assesses its impact on the estimation of different land-cover types. The results show that this method improves the parameter estimation for the considered land-cover classes.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Tingyu Meng, Xiaofeng Yang, Kun-Shan Chen, Ferdinando Nunziata, Dengfeng Xie, Andrea Buono
Summary: This article discusses the formation of oil slicks on the sea surface observed in radar images, and verifies the relationship between radar signals and factors such as oil thickness, water content, etc. through numerical simulations. The research shows that factors such as radar frequency, oil thickness, and sea surface wind speed have a significant impact on radar backscatter scattering.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Ferdinando Nunziata, Matteo Alparone, Adriano Camps, Hyuk Park, Alberto M. Zurita, Claudio Estatico, Maurizio Migliaccio
Summary: An enhanced spatial resolution brightness temperature product is proposed for future conical scan microwave radiometers, demonstrating the effectiveness of the technique through simulation results.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Remote Sensing
M. Zahriban Hesari, F. Nunziata, G. Aulicino, A. Buono, M. Migliaccio
Summary: This study analyzed the time variability of the Drygalski ice tongue in Antarctica using satellite synthetic aperture radar (SAR) images. A time series of SAR imagery was used to extract the boundary between the ice tongue and the surrounding sea water, and feature tracking was employed to analyze its morphological evolution. The results showed a relatively stable motion trend of the ice tongue.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Angelo Gifuni, Muhammad Adil, Giuseppe Grassini, Andrea Buono, Ferdinando Nunziata, Davide Micheli, Maurizio Migliaccio
Summary: This article presents an effective method to measure the total radiated power from mobile phones using reverberation chambers. The method utilizes a novel measurement setup that allows the mobile phone under test to be connected to a real external wireless communication system. The method eliminates the need for a radio base station emulator. The measured total radiated powers are useful for evaluating electromagnetic interference and assessing human exposure in a world where wireless devices are becoming more prevalent.
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
(2022)
Article
Engineering, Electrical & Electronic
Angelo Gifuni, Gabriele Gradoni, Ramiro Serra, Giuseppe Grassini, Muhammad Adil, Andrea Buono, Ferdinando Nunziata, Maurizio Migliaccio
Summary: This article demonstrates how to improve the standard procedure for the shielding effectiveness of materials and gaskets in Annex G of IEC 61000-4-21. By thoroughly analyzing and comparing measurement models, a robust improvement to the standard procedure is provided.
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
(2022)
Article
Remote Sensing
G. Inserra, A. Buono, F. Nunziata, M. Virelli, M. Migliaccio
Summary: This paper investigates the use of polarimetric SAR measurements for reservoirs' waterline estimation and finds that cross-polarized channel and inter-channel phase are noisy and uninformative for designing coherent polarimetric waterline extraction methods.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Muhammad Adil, Ferdinando Nunziata, Andrea Buono, Domenico Velotto, Maurizio Migliaccio
Summary: In this study, the polarimetric scattering characteristics of a ship and the surrounding sea using fully polarimetric L-band synthetic aperture radar data were analyzed. The polarized component in the backscattered signal was found to be the main source of variability of the target-to-clutter ratio against the incidence angle.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Emanuele Ferrentino, Ferdinando Nunziata, Christian Bignami, Laura Graziani, Alessandra Maramai, Maurizio Migliaccio, Salvatore Stramondo
Summary: This study investigates the extra benefit provided by the joint use of synthetic aperture radar (SAR) polarimetric diversity and ascending/descending orbit passes to quantify postearthquake damage. The experimental results show that the joint use of ascending/descending orbit passes improves the estimation of damage levels with respect to the estimation performed using the orbiting passes separately.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Matteo Alparone, Ferdinando Nunziata, Claudio Estatico, Adriano Camps, Hyuk Park, Maurizio Migliaccio
Summary: This study investigates the ability to enhance the spatial resolution of measurements collected by a conical-scanning microwave radiometer (MWR) through simulated and actual brightness temperature profiles. The results show that regularization is necessary for high overlapping/low spatial resolution cases and can improve the spatial resolution up to 2.34. However, it also introduces noise amplification.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Lucio Mascolo, Shane R. Cloude, Juan M. Lopez-Sanchez
Summary: In this study, a new model-based decomposition for dual-pot synthetic aperture radar data is developed using the Stokes vector formalism. The decomposition allows separation of an arbitrary Stokes vector into partially polarized and polarized wave components. The method is applied to dual-pol data provided by Sentinel-1, showing its potential for key applications such as classification and geo-physical parameter estimation. The study also demonstrates the significant impact of polarized contribution on backscattered state, especially over glaciers.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Tingyu Meng, Kun-Shan Chen, Xiaofeng Yang, Ferdinando Nunziata, Dengfeng Xie, Andrea Buono
Summary: The study predicts bistatic radar scattering coefficients of an oil-covered sea surface by considering the oil damping effect on surface roughness and the oil modification on dielectric properties. Numerical analysis reveals that the scattering energy of an oil-covered sea surface is generally higher in the forward scattering zone and the oil damping effect governs the scattering behavior in the backward region. Various polarization and angular observations are explored to retrieve oil thickness, with dual-polarized observations showing enhanced sensitivity compared to single-polarization radar observations.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
