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2018 IEEE Transactions on Geoscience and Remote Sensing  
Bürgmann 4492 A Unified Formulation of SAR Raw Signals From Extended Scenes for All Acquisition Modes With Application to Simulation ................................... D. A. G. Dell'Aglio, G.  ...  Ruello 4956 Derivation of the Orientation Parameters in Built-Up Areas: With Application to Model-Based Decomposition ...... ............................................................................  ... 
doi:10.1109/tgrs.2018.2855605 fatcat:7tzxriclhbea7fyxwphrmyekoa

Processing of Sliding Spotlight and TOPS SAR Data Using Baseband Azimuth Scaling

P. Prats, R. Scheiber, J. Mittermayer, A. Meta, A. Moreira
2010 IEEE Transactions on Geoscience and Remote Sensing  
Simulations with point targets and real data acquired by TerraSAR-X in sliding spotlight and TOPS modes are used to validate the developed algorithm.  ...  In this paper, a new azimuth scaling approach is presented to perform the azimuth processing, whose kernel is exactly the same for sliding spotlight and TOPS modes.  ...  This paper proposes a unified approach for the processing of sliding spotlight and TOPS imaging modes.  ... 
doi:10.1109/tgrs.2009.2027701 fatcat:dpj54szu35a2dic3whp7ntnaya

Focus Improvement of Highly Squinted Data Based on Azimuth Nonlinear Scaling

Guangcai Sun, Xiuwei Jiang, Mengdao Xing, Zhi-jun Qiao, Yirong Wu, Zheng Bao
2011 IEEE Transactions on Geoscience and Remote Sensing  
Since synthetic aperture technology was employed in radar signal processing, the information capability of radar has greatly been enhanced. A lot of imaging algorithms have also been developed.  ...  term that is relatively large and cubic with high focusing sensibilities for high resolution.  ...  ACKNOWLEDGMENT The authors would like to thank the Associate Editor and the anonymous reviewers, whose suggestions are valuable in improving the manuscript.  ... 
doi:10.1109/tgrs.2010.2102040 fatcat:xgs666jj2nerbfxhp2qnnmklb4

Bidimensional Empirical Mode Decomposition for SAR Image Feature Extraction with Application to Target Recognition

Ming Chang, Xuqun You, Zhengyang Cao
2019 IEEE Access  
BEMD provides an adaptive and empirical way to process signals, which generates bidimensional intrinsic mode functions (BIMFs) to describe the details of SAR images.  ...  This study introduces a target recognition algorithm for synthetic aperture radar (SAR) images based on the features extracted by bidimensional empirical mode decomposition (BEMD).  ...  In fact, the practical situations during SAR data acquisition is very complex and there exist many extended operating conditions (EOCs).  ... 
doi:10.1109/access.2019.2941397 fatcat:m7nxexwaxzei7juyi2hta2g6da

SAR Target Recognition Based on Cross-Domain and Cross-Task Transfer Learning

Ke Wang, Gong Zhang, Henry Leung
2019 IEEE Access  
Although CNN-based methods can achieve excellent recognition performance, it is difficult to collect a large number of real SAR images available for training.  ...  Compared with conventional SAR-ATR methods, the proposed model can achieve better recognition performance with a small amount of training data.  ...  We propose a unified model integrating meta-learning and adversarial domain adaptation to transfer prior knowledge from simulated SAR data to real SAR data.  ... 
doi:10.1109/access.2019.2948618 fatcat:3mql7wr6nzgnfhxvhgvmdipium

High Performance Computing in Satellite SAR Interferometry: A Critical Perspective

Pasquale Imperatore, Antonio Pepe, Eugenio Sansosti
2021 Remote Sensing  
for interferometric processing of SAR data are critically discussed at different levels.  ...  In this paper, a perspective on the state-of-the-art of high performance computing (HPC) methodologies applied to spaceborne SAR interferometry (InSAR) is presented, and the different parallel algorithms  ...  For every SAR pixel of the scene, the complex-valued signal returns related to the two SAR images can be mathematically expressed as [15] : For every SAR pixel of the scene, the complex-valued signal  ... 
doi:10.3390/rs13234756 fatcat:flsy4h75gzdvzgjpfx4xwivem4

Physics-based integration of multiple sensing modalities for scene interpretation

N. Nandhakumar, J.K. Aggarwal
1997 Proceedings of the IEEE  
In this paper we present a unique approach to the integrated analysis of disparate sources of imagery for object recognition.  ...  We illustrate the use of physics-based approach to develop multisensory vision systems for different object recognition application domains.  ...  Further extensions have been reported to include extended light sources, and object recognition applications [18] . 2) Polarized SAR Imagery: A physics-based approach has been reported for the interpretation  ... 
doi:10.1109/5.554215 fatcat:bi66kt7x3bbnxdnxflc4kqu6sm

Image Restoration for Remote Sensing: Overview and Toolbox [article]

Benhood Rasti, Yi Chang, Emanuele Dalsasso, Loïc Denis, Pedram Ghamisi
2021 arXiv   pre-print
Remote sensing provides valuable information about objects or areas from a distance in either active (e.g., RADAR and LiDAR) or passive (e.g., multispectral and hyperspectral) modes.  ...  Image restoration, which is a vibrant field of research in the remote sensing community, is the task of recovering the true unknown image from the degraded observed image.  ...  This extends the range of application of restoration algorithms from low-level data, for which instrumental effects can be modeled, to high-level data.  ... 
arXiv:2107.00557v2 fatcat:adn5fpdza5h4tbsycg7yw6rqzu

A Modified Factorized Geometrical Autofocus Method for Wide Angle SAR

Han Li, Zhiyong Suo, Chengxin Zheng, Zhenfang Li, Zhao Bingji
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
To deal with those problems, MFGA introduces image registration techniques and a maximum sharpness method to calibrate image distortion and phase error.  ...  This article proposes the modified factorized geometrical autofocus (MFGA) method for WA-SAR to address the above problems in FFBP.  ...  Autofocus imaging experiments on simulated and real data show that MFGA performs exceptionally and applies to multiple SAR modes such as strip-map SAR and squint SAR in different unstable platform with  ... 
doi:10.1109/jstars.2020.3045477 fatcat:3l3i72bykrbpjowczrao5w6njy

A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing [article]

Ping Lang, Xiongjun Fu, Marco Martorella, Jian Dong, Rui Qin, Xianpeng Meng, Min Xie
2020 arXiv   pre-print
This paper then concludes with a series of open questions and proposed research directions, in order to indicate current gaps and potential future solutions and trends.  ...  This paper aims at helping researchers and practitioners to better understand the application of ML techniques to RSP-related problems by providing a comprehensive, structured and reasoned literature overview  ...  A direct ATR method was employed in [346] for large-scene SAR-ATR task, which directly recognized targets on large-scene SAR images by encapsulating all of the computation in a single DCNN.  ... 
arXiv:2009.13702v1 fatcat:m6am73324zdwba736sn3vmph3i

Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

Dana Lahat, Tulay Adali, Christian Jutten
2015 Proceedings of the IEEE  
We use the term "modality" for each such acquisition framework.  ...  The aim of this paper is to provide the reader, regardless of his or her community of origin, with a taste of the vastness of the field, the prospects and opportunities that it holds.  ...  , whose expertise, insightful remarks and feedback have greatly helped extend the scope of this paper; and the anonymous reviewers, for their careful reading and valuable remarks.  ... 
doi:10.1109/jproc.2015.2460697 fatcat:ve7t3be66zfnnahgb7xrlt2lri

Program

2019 2019 International Conference on Control, Automation and Information Sciences (ICCAIS)  
Here, the expression 'multibeam' refers to a mode of operation where multiple simultaneous transmit beams are synthesized by different probing signals from various colocated transmitters.  ...  A large-scale acoustic scene dataset recorded by a different acoustic device has to be considered. This leads to the research problem of acoustic scene classification by mismatched devices.  ...  To evaluate the effectiveness of our proposed system, several real surveillance videos from elevator cab are tested, and the results show that the accuracy of door detection is reached by 95.6%, and the  ... 
doi:10.1109/iccais46528.2019.9074650 fatcat:f3libdixzvez3kaeyb5dubekrq

Front Matter: Volume 11756

Lynne L. Grewe, Erik P. Blasch, Ivan Kadar
2021 Signal Processing, Sensor/Information Fusion, and Target Recognition XXX  
These two-number sets start with 00, 01, 02, 03, 04, 0M Risk-based security: from theory to practice INFORMATION FUSION METHODOLOGIES AND APPLICATIONS III 0N Anomaly detection of unstructured big data  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication.  ...  ) are included in the dataset as annotations for the SAR image acquisition.  ... 
doi:10.1117/12.2598593 fatcat:5afkuwltljctxayaup2rz2njly

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

Bram van Berlo, Amany Elkelany, Tanir Ozcelebi, Nirvana Meratnia
2021 IEEE Sensors Journal  
The increasing bandwidth requirement of new wireless applications has lead to standardization of the millimeter wave spectrum for high-speed wireless communication.  ...  The millimeter wave spectrum is part of 5G and covers frequencies between 30 and 300 GHz that correspond to wavelengths ranging from 10 to 1 mm.  ...  For the majority of sensing applications, these raw signal vectors cannot be used to infer information of interest to the sensing application.  ... 
doi:10.1109/jsen.2021.3057450 fatcat:utlcmfq55raqpkhv7ad34nhfh4

DopSCAT: A mission concept for simultaneous measurements of marine winds and surface currents

Franco Fois, Peter Hoogeboom, François Le Chevalier, Ad Stoffelen, Alexis Mouche
2015 Journal of Geophysical Research - Oceans  
The work lies at a frontier, given that the present inability to measure ocean currents from space in a consistent and synoptic manner represents one of the greatest weaknesses in ocean remote sensing.  ...  The primary application of scatterometry is the measurement of near-surface ocean winds.  ...  A. and  ... 
doi:10.1002/2015jc011011 fatcat:4jo23wtzjfe7fawqkz22cbnr7m
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