Relevant bibliographies by topics / Ground-based SAR sensers

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

Academic literature on the topic 'Ground-based SAR sensers'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Ground-based SAR sensers"

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Darvishi, Mehdi, Romy Schlögel, Christian Kofler, et al. "Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy)." Remote Sensing 10, no. 11 (2018): 1781. http://dx.doi.org/10.3390/rs10111781.

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The Copernicus Sentinel-1 mission provides synthetic aperture radar (SAR) acquisitions over large areas with high temporal and spatial resolution. This new generation of satellites providing open-data products has enhanced the capabilities for continuously studying Earth surface changes. Over the past two decades, several studies have demonstrated the potential of differential synthetic aperture radar interferometry (DInSAR) for detecting and quantifying land surface deformation. DInSAR limitations and challenges are linked to the SAR properties and the field conditions (especially in mountain
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Crosetto, M., L. Solari, J. Balasis-Levinsen, et al. "DEFORMATION MONITORING AT EUROPEAN SCALE: THE COPERNICUS GROUND MOTION SERVICE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 28, 2021): 141–46. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-141-2021.

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Abstract. The Advanced Differential Interferometric SAR (A-DInSAR) technique is a class of powerful techniques to monitor ground motion. In the last two decades, the A-DInSAR technique has undergone an important development in terms of processing algorithms and the capability to monitor wide areas. This has been accompanied by an important increase of the Synthetic Aperture Radar (SAR) data acquisition capability by spaceborne sensors. An important step forward was the launch of the Copernicus Sentinel-1 constellation. The development of A-DInSAR based ground deformation services is now techni
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Liu, Xianglei, Shan Su, Jing Ma, and Wanxin Yang. "Deformation Activity Analysis of a Ground Fissure Based on Instantaneous Total Energy." Sensors 19, no. 11 (2019): 2607. http://dx.doi.org/10.3390/s19112607.

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This study proposes a novel instantaneous total energy method to perform an activity analysis of ground fissures deformation, which is calculated by integrating the extreme-point symmetric mode decomposition (ESMD) method and kinetic energy based on the time-series displacement acquired by shape acceleration array (SAA) sensors. The proposed method is tested on the Xiwang Road fissure in Beijing, China. First, to fully monitor the hanging wall and footwall of the monitored ground fissure, a 4 m-long SAA in the vertical direction and an 8 m-long SAA in the horizontal direction were embedded in
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Molijn, Ramses, Lorenzo Iannini, Jansle Vieira Rocha, and Ramon Hanssen. "Sugarcane Productivity Mapping through C-Band and L-Band SAR and Optical Satellite Imagery." Remote Sensing 11, no. 9 (2019): 1109. http://dx.doi.org/10.3390/rs11091109.

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Space-based remote sensing imagery can provide a valuable and cost-effective set of observations for mapping crop-productivity differences. The effectiveness of such signals is dependent on several conditions that are related to crop and sensor characteristics. In this paper, we present the dynamic behavior of signals from five Synthetic Aperture Radar (SAR) sensors and optical sensors with growing sugarcane, focusing on saturation effects and the influence of precipitation events. In addition, we analyzed the level of agreement within and between these spaceborne datasets over space and time.
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Paek, Sung Wook, Sivagaminathan Balasubramanian, Sangtae Kim, and Olivier de Weck. "Small-Satellite Synthetic Aperture Radar for Continuous Global Biospheric Monitoring: A Review." Remote Sensing 12, no. 16 (2020): 2546. http://dx.doi.org/10.3390/rs12162546.

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Space-based radar sensors have transformed Earth observation since their first use by Seasat in 1978. Radar instruments are less affected by daylight or weather conditions than optical counterparts, suitable for continually monitoring the global biosphere. The current trends in synthetic aperture radar (SAR) platform design are distinct from traditional approaches in that miniaturized satellites carrying SAR are launched in multiples to form a SAR constellation. A systems engineering perspective is presented in this paper to track the transitioning of space-based SAR platforms from large satel
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Bonì, Roberta, Claudia Meisina, Linda Poggio, et al. "Ground motion areas detection (GMA-D): an innovative approach to identify ground deformation areas using the SAR-based displacement time series." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 277–84. http://dx.doi.org/10.5194/piahs-382-277-2020.

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Abstract. In this work, an innovative methodology to generate the automatic ground motion areas mapping is presented. The methodology is based on the analysis of the Synthetic Aperture Radar (SAR)-based displacement time series. The procedure includes two modules developed using the ModelBuilder tool (ArcGis). These modules allow to identify the ground motion areas (GMA) using only one dataset and the persistent GMA (PGMA) considering the different monitored periods and datasets. These areas represent clusters of targets characterized by the same displacement time series trend. The procedure w
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Nico, Giovanni, Sérgio Oliveira, Joao Catalão, and José Zêzere. "Generation of Persistent Scatterers in Non-Urban Areas: The Role of Microwave Scattering Parameters." Geosciences 8, no. 7 (2018): 269. http://dx.doi.org/10.3390/geosciences8070269.

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In this work, we study the capability of the ground surface to generate Persistent Scatterers (PS) based on the lithology, slope and aspect angles. These properties affect the scattering behavior of the Synthetic Aperture Radar (SAR) signal, the interferometric phase stability and, as a consequence, the PS generation. Two-time series of interferometric SAR data acquired by two different SAR sensors in the C-band are processed to generate independent PS datasets. The region north of Lisbon, Portugal, characterized by sparse vegetation and lithology diversity, is chosen as study area. The PS fre
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Qu, T., Z. Su, H. Yang, X. Shi, and W. Shao. "LARGE-SCALE SUBSIDENCE GEOHAZARD MONITORING WITH SENTINEL-1 SAR INTERFEROMETRY IN CENTRAL LISHUI (CHINA)." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 29, 2021): 873–78. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-873-2021.

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Abstract. Ground subsidence has become a serious problem along with the rapid urban expansions. Compared with traditional point-based ground survey techniques (GPS, levelling measurement and in-situ sensors), SAR Interferometry are quite appreciated for large-scale subsidence monitoring with long term and high accuracy. In this study, we focused on large-scale subsidence geohazard monitoring of central Lishui (China) and extracted subsidence velocity map of Liandu District. 57 Sentinle-1 SAR images from April 2019 to September 2020 are analysed with SBAS-InSAR technique. The overall subsidence
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Svedin, Jan, Anders Bernland, Andreas Gustafsson, Eric Claar, and John Luong. "Small UAV-based SAR system using low-cost radar, position, and attitude sensors with onboard imaging capability." International Journal of Microwave and Wireless Technologies 13, no. 6 (2021): 602–13. http://dx.doi.org/10.1017/s1759078721000416.

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AbstractThis paper describes a small unmanned aerial vehicle (UAV)-based synthetic aperture radar (SAR) system using low-cost radar (5–6 GHz), position (GNSS/RTK) and attitude (IMU) sensors for the generation of high-resolution images. Measurements using straight as well as highly curved flight trajectories and varying flight speeds are presented, showing range and cross-range lobe-widths close to the theoretical limits. An analysis of the improvements obtained by the use of attitude angles (roll, pitch, and yaw), to correct for the relative offsets in antenna positions as the UAV moves, is in
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Yang, C. H., Y. Pang, and U. Soergel. "Monitoring of Building Construction by 4D Change Detection Using Multi-temporal SAR Images." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1/W1 (May 30, 2017): 35–42. http://dx.doi.org/10.5194/isprs-annals-iv-1-w1-35-2017.

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Monitoring urban changes is important for city management, urban planning, updating of cadastral map, etc. In contrast to conventional field surveys, which are usually expensive and slow, remote sensing techniques are fast and cost-effective alternatives. Spaceborne synthetic aperture radar (SAR) sensors provide radar images captured rapidly over vast areas at fine spatiotemporal resolution. In addition, the active microwave sensors are capable of day-and-night vision and independent of weather conditions. These advantages make multi-temporal SAR images suitable for scene monitoring. Persisten
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Dissertations / Theses on the topic "Ground-based SAR sensers"

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Pipia, Luca. "Polarimetric differential SAR Interferometry with ground-based sensors." Doctoral thesis, Universitat Politècnica de Catalunya, 2009. http://hdl.handle.net/10803/6951.

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Las técnicas de Interferometría Diferencial se basan en la combinación de varias imágenes SAR con distinta separación temporal y permiten la recuperación de las componentes lineales y no-lineales del proceso de deformación ocurrida en el entorno de interés durante el entero periodo de observación. Condición imprescindible para una correcta estimación de los fenómenos geodéticos es la elevada estabilidad de la plataforma que embarca el sensor SAR. Por esta razón, a nivel operativo se utilizan datos SAR satelitales.<br/>El objetivo de la Polarimetría SAR es describir el entorno de interés analiz
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Book chapters on the topic "Ground-based SAR sensers"

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Tarantino, Eufemia, Antonio Novelli, Mariella Aquilino, Benedetto Figorito, and Umberto Fratino. "Comparing the MLC and JavaNNS Approaches in Classifying Multi-Temporal LANDSAT Satellite Imagery over an Ephemeral River Area." In Civil and Environmental Engineering. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9619-8.ch063.

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This chapter analyzes two pixel-based classification approaches to support the analysis of land cover transformations based on multitemporal LANDSAT sensor data covering a time space of about 24 years. The research activity presented in this paper was carried out using Lama San Giorgio (Bari, Italy) catchment area as a study case, being this area prone to flooding as proved by its geological and hydrological characteristics and by the significant number of floods occurred in the past. Land cover classes were defined in accordance with on the CN method with the aim of characterizing land use based on attitude to generate runoff. Two different classifiers, i.e. Maximum Likelihood Classifier (MLC) and Java Neural Network Simulator (JavaNNS) models, were compared. The Artificial Neural Networks (ANN) approach was found to be the most reliable and efficient when lacking ground reference data and a priori knowledge on input data distribution.
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Conference papers on the topic "Ground-based SAR sensers"

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Wu, Di, Mehrdad Yaghoobi, and Mike Davies. "Sparsity Based Ground Moving Target Imaging via Multi-Channel SAR." In 2015 Sensor Signal Processing for Defence (SSPD). IEEE, 2015. http://dx.doi.org/10.1109/sspd.2015.7288524.

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Li, Bin, Chao Chen, Ruonan Zhang, Hong Jiang, and Xianzhen Guo. "The Energy-Efficient UAV-Based BS Coverage in Air-to-Ground Communications." In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2018. http://dx.doi.org/10.1109/sam.2018.8448770.

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Heinzel, Andreas, Markus Schartel, Ralf Burr, et al. "A comparison of ground-based and airborne SAR systems for the detection of landmines, UXO, and IEDs." In Radar Sensor Technology XXIII, edited by Kenneth I. Ranney and Armin Doerry. SPIE, 2019. http://dx.doi.org/10.1117/12.2518587.

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Lu, Yanzheng, Hong Wang, Bin Zhou, et al. "Human’s Jump State Recognition Based on Surface Electromyography and Wearable Plantar-ground Contact Sensor." In 2019 WRC Symposium on Advanced Robotics and Automation (WRC SARA). IEEE, 2019. http://dx.doi.org/10.1109/wrc-sara.2019.8931957.

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Liu, Chenwei, Xudong Wang, and Daiyin Zhu. "An Airborne VideoSAR High-resolution Ground Playback System Based on FPGA." In 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2020. http://dx.doi.org/10.1109/sam48682.2020.9104265.

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Feraco, Stefano, Angelo Bonfitto, Nicola Amati, and Andrea Tonoli. "A LIDAR-Based Clustering Technique for Obstacles and Lane Boundaries Detection in Assisted and Autonomous Driving." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22339.

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Abstract This paper presents a clustering technique for the detection of the obstacles and lane boundaries on a road. The algorithm consists of two nested clustering stages. The first stage is based on hierarchical clustering, and the second on k-means clustering. The method exploits a preliminary ground-plane filtering algorithm to process the raw LIDAR point cloud, that is based on the semantic segmentation of point clouds. The clustering algorithm estimates the position of the obstacles that define the race track. Once the race track is sensed, the lane boundaries are detected. The method i
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Armas, Iuliana, Marius Necsoiu, Diana Aldea Mendes, Mihaela Gheorghe, and Diana Alexandra Gheorghe. "Ground Displacement Trends in an Urban Environment Using Multi-Temporal InSAR Analysis and two Decades of Multi-Sensor Satellite-Based SAR Imagery." In Fringe2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop. European Space Agency, 2015. http://dx.doi.org/10.5270/fringe2015.pp106.

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Carroll, Ernest A., and Dan B. Rathbone. "Using an Unmanned Airborne Data Acquisition System (ADAS) for Traffic Surveillance, Monitoring, and Management." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32916.

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This paper presents the history of and current status of a U.S. DOT and NASA sponsored program designed to demonstrate the feasibility of using a small-unmanned airborne data acquisition system (ADAS) for traffic surveillance, monitoring, and management. ADAS is ideally suited for application in monitoring traffic flow, traffic congestion, and supporting ITS assets. GeoData Systems (GDS), Inc., with principal offices at 10565 Lee Highway, Suite 100, Fairfax, VA 22030 has developed a revolutionary new class of airborne data acquisition systems. In this effort, GDS has teamed with traffic expert
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