Relevant bibliographies by topics / Interferometric imaging algorithm

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Interferometric imaging algorithm'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Interferometric imaging algorithm"

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Lü Qieni, 吕且妮, 葛宝臻 Ge Baozhen, 陈益亮 Chen Yiliang, and 张以谟 Zhang Yimo. "An Algorithm for Interferometric Image Processing of Interferometric Particle Imaging." Acta Optica Sinica 31, no. 4 (2011): 0412009. http://dx.doi.org/10.3788/aos201131.0412009.

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Corbella, Ignasi, Francesc Torres, Nuria Duffo, Israel Duran, Veronica Gonzalez-Gambau, and Manuel Martin-Neira. "Wide Field of View Microwave Interferometric Radiometer Imaging." Remote Sensing 11, no. 6 (2019): 682. http://dx.doi.org/10.3390/rs11060682.

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In microwave interferometric radiometers with a large field of view, as for example the Microwave Imaging Radiometer with Aperture Synthesis (MIRAS) onboard the Soil Moisture and Ocean Salinity (SMOS) satellite, one of the major causes of reconstruction error is the contribution to the visibility of the brightness temperature outside the fundamental period, defined on the basis of reciprocal grids. A mitigation method consisting of estimating this contribution through the application of a brightness temperature model outside the fundamental period is proposed. The main advantage is that it doe
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Lv, Qian, and Shaozhe Zhang. "Three-Dimensional Interferometric ISAR Imaging Algorithm Based on Cross Coherence Processing." Sensors 21, no. 15 (2021): 5073. http://dx.doi.org/10.3390/s21155073.

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Interferometric inverse synthetic aperture radar (InISAR) has received significant attention in three-dimensional (3D) imaging due to its applications in target classification and recognition. The traditional two-dimensional (2D) ISAR image can be interpreted as a filtered projection of a 3D target’s reflectivity function onto an image plane. Such a plane usually depends on unknown radar-target geometry and dynamics, which results in difficulty interpreting an ISAR image. Using the L-shape InISAR imaging system, this paper proposes a novel 3D target reconstruction algorithm based on Dechirp pr
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Han, Song Tao, Ge Shi Tang, Yong Fei Mao, Lue Chen, and Mei Wang. "High Accuracy Algorithm of Airborne Interferometric Synthetic Aperture Radar." Applied Mechanics and Materials 128-129 (October 2011): 138–41. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.138.

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Interferometric Synthetic Aperture Radar is one of the most important technologies for topographic mapping. The DEM quality of airborne InSAR system depends on both system hardware performance and data processing methods. To derive large scale topographic and thematic maps up to scale 1:50000 and 1:10000, the whole data processing methods were presented. The methods included SAR imaging, interferometric processing and cartographic processing. Special methods were induced to resolve the problems encountered in project applications. Results using X-band airborne InSAR system data showed validity
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Arras, Philipp, Philipp Frank, Reimar Leike, Rüdiger Westermann, and Torsten A. Enßlin. "Unified radio interferometric calibration and imaging with joint uncertainty quantification." Astronomy & Astrophysics 627 (July 2019): A134. http://dx.doi.org/10.1051/0004-6361/201935555.

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The data reduction procedure for radio interferometers can be viewed as a combined calibration and imaging problem. We present an algorithm that unifies cross-calibration, self-calibration, and imaging. Because it is a Bayesian method, this algorithm not only calculates an estimate of the sky brightness distribution, but also provides an estimate of the joint uncertainty which entails both the uncertainty of the calibration and that of the actual observation. The algorithm is formulated in the language of information field theory and uses Metric Gaussian Variational Inference (MGVI) as the und
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Ramirez, Jaime, and Suman Chakravorty. "Two-Stage Controller Algorithm for Multi-Spacecraft Interferometric Imaging Systems." IEEE Transactions on Aerospace and Electronic Systems 46, no. 3 (2010): 1248–61. http://dx.doi.org/10.1109/taes.2010.5545187.

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Zhang, Cheng, Ji Wu, Hao Liu, and JingYe Yan. "Imaging algorithm for synthetic aperture interferometric radiometer in near field." Science China Technological Sciences 54, no. 8 (2011): 2224–31. http://dx.doi.org/10.1007/s11431-011-4403-3.

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Wei, Shunjun, Yue Wu, Jiadian Liang, Shan Liu, Mou Wang, and Xiaoling Zhang. "FDBP-InSAR: An Efficient Algorithm for InSAR Imaging via Frequency Domain Back Projection." Remote Sensing 12, no. 21 (2020): 3527. http://dx.doi.org/10.3390/rs12213527.

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High-quality focusing with accurate phase-preserving is a significant and challenging step in interferometric synthetic aperture radar (InSAR) imaging. Compared with conventional frequency-based imaging algorithms, the time-domain back-projection algorithm (TDBPA) can greatly ensure the accuracy of imaging and phase-preserving by point-to-point coherent integration but suffers from huge computational complexity. In this paper, we propose an efficient InSAR imaging method, called a frequency-domain back-projection algorithm (FDBPA), to achieve high-resolution focusing and accurate phase-preserv
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Atemkeng, M., O. Smirnov, C. Tasse, G. Foster, and S. Makhathini. "Fast algorithms to approximate the position-dependent point spread function responses in radio interferometric wide-field imaging." Monthly Notices of the Royal Astronomical Society 499, no. 1 (2020): 292–303. http://dx.doi.org/10.1093/mnras/staa2843.

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ABSTRACT The desire for wide field of view, large fractional bandwidth, high sensitivity, high spectral and temporal resolution has driven radio interferometry to the point of big data revolution where the data are represented in at least three dimensions with an axis for spectral windows, baselines, sources, etc., where each axis has its own set of subdimensions. The cost associated with storing and handling these data is very large, and therefore several techniques to compress interferometric data and/or speed up processing have been investigated. Unfortunately, averaging-based methods for v
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Wang, Yanping, Yang Song, Yun Lin, Yang Li, Yuan Zhang, and Wen Hong. "Interferometric DEM-Assisted High Precision Imaging Method for ArcSAR." Sensors 19, no. 13 (2019): 2921. http://dx.doi.org/10.3390/s19132921.

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Ground-based arc-scanning synthetic aperture radar (ArcSAR) is the novel ground-based synthetic aperture radar (GBSAR). It scans 360-degree surrounding scenes by the antenna attached to rotating boom. Therefore, compared with linear scanning GBSAR, ArcSAR has larger field of view. Although the feasibility of ArcSAR has been verified in recent years, its imaging algorithm still presents difficulties. The imaging accuracy of ArcSAR is affected by terrain fluctuation. For rotating scanning ArcSAR, even if targets in scenes have the same range and Doppler with antenna, if the heights of targets ar
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Dissertations / Theses on the topic "Interferometric imaging algorithm"

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Zhou, Qiping. "Near-field microwave imaging with coherent and interferometric reconstruction methods." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1591903415194694.

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Kurien, Binoy George. "Algorithms and Array Design Criteria for Robust Imaging in Interferometry." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493447.

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Optical interferometry is a technique for obtaining high-resolution imagery of a distant target by interfering light from multiple telescopes. Image restoration from interferometric measurements poses a unique set of challenges. The first challenge is that the measurement set provides only a sparse-sampling of the object’s Fourier Transform and hence image formation from these measurements is an inherently ill-posed inverse problem. Secondly, atmospheric turbulence causes severe distortion of the phase of the Fourier samples. We develop array design conditions for unique Fourier phase recovery
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Saho, Kenji. "Human Imaging and Identification Algorithms with UWB Doppler Radar Interferometry." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/174853.

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Sandberg, Julie. "Maneuvering of Distributed Space-Borne Sensors for Optimal Interferometric Imaging Performance." Thesis, 2010. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8346.

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The need for high resolution, continuously sustained imaging drives the interest in space-borne, distributed aperture, interferometric (amplitude, heterodyne, or intensity correlation) systems. This paper will discuss the maneuver controls for a system of multiple space-based telescopes to secure optimal image quality. Such distributed aperture systems eff ectively measure the Fourier Transform of the collected light so that the observed wave pattern is seen in the frequency plane. This Fourier Transform representation of physical spacecraft maneuvers may be interpreted as coverage regions (di
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Books on the topic "Interferometric imaging algorithm"

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G, Robertson J., Tango William J, and International Union for Radio Science., eds. Very high angular resolution imaging: Proceedings of the 158th Symposium of the International Astronomical Union, held at the Women's College, University of Sydney, Australia, 11-15 January 1993. Kluwer Academic, 1994.

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Book chapters on the topic "Interferometric imaging algorithm"

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Papathanassiou, K. P., S. R. Cloude, M. Pardini, et al. "Forest Applications." In Polarimetric Synthetic Aperture Radar. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_2.

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AbstractThe application of polarimetric Synthetic Aperture Radar (SAR) to forest observation for mapping, classification and parameter estimation (especially biomass) has a relatively long history. The radar penetration through forest volume, and hence the multi-layer nature of scattering models, make fully polarimetric data the observation space enabling a robust and full inversion of such models. A critical advance came with the introduction of polarimetric SAR interferometry, where polarimetry provides the parameter diversity, while the interferometric baseline proves a user-defined entropy control as well as spatial separation of scattering components, together with their location in the third dimension (height). Finally, the availability of multiple baselines leads to the full 3-D imaging of forest volumes through TomoSAR, the quality of which is again greatly enhanced by the inclusion of polarimetry. The objective of this Chapter is to review applications of SAR polarimetry, polarimetric interferometry and tomography to forest mapping and classification, height estimation, 3-D structure characterization and biomass estimation. This review includes not only models and algorithms, but it also contains a large number of experimental results in different test sites and forest types, and from airborne and space borne SAR data at different frequencies.
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Conference papers on the topic "Interferometric imaging algorithm"

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Sun, Wei, Tian Zhou, Xiaojing Wang, Bo Wei, and Haisen Li. "Study of multibeam synthetic aperture interferometric imaging algorithm." In 2015 International Industrial Informatics and Computer Engineering Conference. Atlantis Press, 2015. http://dx.doi.org/10.2991/iiicec-15.2015.341.

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Birdi, Jasleen, Audrey Repetti, and Yves Wiaux. "Scalable Algorithm for Polarization Constrained Sparse Interferometric Stokes Imaging." In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2018. http://dx.doi.org/10.1109/sam.2018.8448968.

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Zhang, Yong, Pengyu Qiu, Chenghua Yang, Xu Lu, and Yuan Zhao. "An image registration algorithm for interferometric synthetic aperture lidar." In LIDAR Imaging Detection and Target Recognition 2017, edited by Yueguang Lv, Jianzhong Su, Wei Gong, et al. SPIE, 2017. http://dx.doi.org/10.1117/12.2296366.

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Chiou, Mu-Min, Jean-Fu Kiang, and Raj Mittra. "A multi-feature visibility processing algorithm for radio interferometric imaging." In 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2015. http://dx.doi.org/10.1109/aps.2015.7305238.

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Onose, Alexandru, Rafael E. Carrillo, Jason D. McEwen, and Yves Wiaux. "A randomised primal-dual algorithm for distributed radio-interferometric imaging." In 2016 24th European Signal Processing Conference (EUSIPCO). IEEE, 2016. http://dx.doi.org/10.1109/eusipco.2016.7760488.

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Chiou, Mu-Min, Jean-Fu Kiang, and Raj Mittra. "A multi-feature visibility processing algorithm for radio interferometric imaging." In 2014 International Symposium on Antennas & Propagation (ISAP). IEEE, 2014. http://dx.doi.org/10.1109/isanp.2014.7026488.

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Zhang, C., H. Liu, J. Y. Yan, et al. "Imaging algorithm and experimental demonstration of rotating scanning interferometric radiometer." In IGARSS 2010 - 2010 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2010. http://dx.doi.org/10.1109/igarss.2010.5652170.

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Li, Yinwei, Maosheng Xiang, Yongfei Mao, Lideng Wei, and Xingdong Liang. "Auto-registration imaging algorithm for airborne dual-antenna interferometric SAR." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6350526.

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Gombkötő, Balázs, János Kornis, Pramod K. Rastogi, and Erwin Hack. "Investigation of the Iterative Phase Retrieval Algorithm for Interferometric Applications." In INTERNATIONAL CONFERENCE ON ADVANCED PHASE MEASUREMENT METHODS IN OPTICS AND IMAGING. AIP, 2010. http://dx.doi.org/10.1063/1.3426136.

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Hu, Fei, Hao Hu, Tao Zheng, Feng He, and Xiaohui Peng. "A high resolution imaging algorithm for synthetic aperture interferometric radiometers in near-field." In Image and Signal Processing for Remote Sensing, edited by Lorenzo Bruzzone, Francesca Bovolo, and Jon Atli Benediktsson. SPIE, 2017. http://dx.doi.org/10.1117/12.2277909.

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