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Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network
[article]
2022
arXiv
pre-print
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Synthetic aperture radar (SAR) image change detection is a vital yet challenging task in the field of remote sensing image analysis. ...
To solve the problem, we propose a Graph-based Knowledge Supplement Network (GKSNet). ...
To handle the above-mentioned problems, we propose a Graph-based Knowledge Supplement Network (GKSNet) for SAR image change detection. ...
arXiv:2201.08954v2
fatcat:d2owbydspjgtjcicurv47bvlii
Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network
2022
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Synthetic aperture radar (SAR) image change detection is a vital yet challenging task in the field of remote sensing image analysis. ...
To solve the problem, we propose a graph-based knowledge supplement network (GKSNet). ...
To this end, we proposed a graph-based knowledge supplement network, termed GKSNet. On the one hand, image features from a labeled dataset are projected into a graph. ...
doi:10.1109/jstars.2022.3146167
fatcat:a732pgcfebdn7h6cpfap2ucpsq
Multitemporal Change Detection Analysis in an Urbanized Environment Based upon Sentinel-1 Data
2022
Remote Sensing
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To retrospectively quantify such land cover changes, this study analysed synthetic aperture radar images of the Sentinel-1 satellites by applying the Google Earth Engine. ...
This approach uses synthetic aperture radar data that are rarely considered in previously existing land cover change services. ...
Land cover change analysis can be done with optical data, e.g., in Jürgens 2000 [13] , but also as in this study with active synthetic aperture radar (SAR) data. ...
doi:10.3390/rs14041043
fatcat:x2divvfaqvbqtaowobk4cuoaqi
Implementation of Fog computing for reliable E-health applications
2015
2015 49th Asilomar Conference on Signals, Systems and Computers
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In this paper we follow-up on recent massive MTC concepts combining advanced MAC protocols with Compressed Sensing (CS) based multiuser detection. ...
network is expected to support up to 1000x more connections per cell with reduced latency below 1 ms. ...
aperture radar (SAR) images are acquired. ...
doi:10.1109/acssc.2015.7421170
dblp:conf/acssc/CraciunescuMMKP15
fatcat:qm6mki5z6bcvrfimkmqjyrxaxm
GB-InSAR monitoring and observational method for landslide emergency management: the Montaguto earthflow (AV, Italy)
2015
NHESSD
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A monitoring activity using GB-InSAR (Ground Based Interferometric Synthetic Aperture Radar) system began, in order to investigate the landslide kinematics, to plan urgent safety measures for risk mitigation ...
community by increasing scientific knowledge. ...
The synthetic aperture is formed by moving the radar head along a linear rail. ...
doi:10.5194/nhessd-3-7247-2015
fatcat:vgjdbmf7nvgqhhqsiwizv7r6lq
Ping-pong beam training for reciprocal channels with delay spread
2015
2015 49th Asilomar Conference on Signals, Systems and Computers
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The proposed detection scheme does not assume prior knowledge on image statistics and draws all inferences from the data measurements. . ...
Both single-and multi-aperture radar configurations are considered and the detection performance evaluation of each configuration is carried out using electromagnetic modeling data. ...
aperture radar (SAR) images are acquired. ...
doi:10.1109/acssc.2015.7421451
dblp:conf/acssc/CarvalhoA15
fatcat:mqokuvnh3zg45licnfbgxyvxfu
Deep Learning Meets SAR
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2006.10027v1 fatcat:sjdqhdimfjdufazmwihs7zftku
Although deep learning has been introduced in Synthetic Aperture Radar (SAR) data processing, despite successful first attempts, its huge potential remains locked. ...
of unstructured data, e.g., knowledge graphs and social networks, in real life that cannot be directly processed by a deep CNN. ...
Moreover recurrent units in RGNNs (Recurrent Graph Neural Network) [47] [48] have also been proven to obtain achievements in learning from graphs.
III. ...
arXiv:2006.10027v2
fatcat:s3tiroz4qve6nbhavtz77fbis4
Detecting Emergence, Growth, and Senescence of Wetland Vegetation with Polarimetric Synthetic Aperture Radar (SAR) Data
2014
Water
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We investigated the use of multitemporal polarimetric synthetic aperture radar (SAR) data acquired with Canada's Radarsat-2 system to track within-season changes in wetland vegetation and surface water ...
We used ground-based monitoring data and other ancillary information to assess the limits and consistency of the SAR data for tracking seasonal changes in wetlands. ...
We appreciate helpful input from Jennifer Corcoran (National Aeronautics and Space Administration) and three anonymous reviewers on an earlier version of this paper. ...
doi:10.3390/w6030694
fatcat:q3qaklkwq5azdl4hqm3g2nopkm
Generic framework for vessel detection and tracking based on distributed marine radar image data
2018
CEAS Space Journal
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This tracker is conditioned on measurements extracted from radar images. ...
In this article, we present a framework to assess the current situation picture based on marine radar image processing. ...
In [16] and [30] AIS data are fused with Synthetic Aperture Radar (SAR) imagery and/ or coastal radar to provide a reliable and precise situation picture for large-scale maritime surveillance. ...
doi:10.1007/s12567-018-0208-6
fatcat:tmsmksmldfa3nos7bqyrtg5gpe
Integrated radar and lidar analysis reveals extensive loss of remaining intact forest on Sumatra 2007–2010
2015
Biogeosciences Discussions
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Forests with high above ground biomass (AGB), including those growing on peat swamps, have historically not been thought suitable for biomass mapping and change detection using Synthetic Aperture Radar ...
However, by integrating L-band (λ = 0.23 m) SAR with lidar data from the ALOS and ICESat earth-observing satellites respectively, and 56 forest plots, we were able to create a forest biomass and change ...
It also can be undertaken using active sensing technologies such as synthetic aperture radar (SAR) acquired at low (e.g. L-band) frequencies. ...
doi:10.5194/bgd-12-8573-2015
fatcat:gbwidajofbdvbcjhuh2hzect4y
Integrated radar and lidar analysis reveals extensive loss of remaining intact forest on Sumatra 2007–2010
2015
Biogeosciences
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</strong> Forests with high above-ground biomass (AGB), including those growing on peat swamps, have historically not been thought suitable for biomass mapping and change detection using synthetic aperture ...
radar (SAR). ...
It also can be undertaken using active sensing technologies such as synthetic aperture radar (SAR) acquired at low (e.g. L-band) frequencies. ...
doi:10.5194/bg-12-6637-2015
fatcat:7dtetg6uwnahxg4347key26pxu
2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70
2021
IEEE Transactions on Instrumentation and Measurement
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Article numbers are based on specified topic areas and corresponding codes associated with the publication. ...
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Chang, H., +, TIM 2021 1005909 Permittivity Extraction From Synthetic Aperture Radar (SAR) Images of Multilayered Media. ...
doi:10.1109/tim.2022.3156705
fatcat:dmqderzenrcopoyipv3v4vh4ry
A Multi-Scale Deep Neural Network for Water Detection from SAR Images in the Mountainous Areas
2020
Remote Sensing
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Water detection from Synthetic Aperture Radar (SAR) images has been widely utilized in various applications. ...
To address this challenge, a new end-to-end framework based on deep learning has been proposed to automatically classify water and shadow areas in SAR images. ...
Introduction Detecting water bodies from Synthetic Aperture Radar (SAR) images has been a very active research field [1] . ...
doi:10.3390/rs12193205
fatcat:5yedpdnzhjfazp63wfvzu5iw6q
A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios
2020
Remote Sensing
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Based on the survey, a general change detection framework, including change information extraction, data fusion, and analysis of multi-objective scenarios modules, is summarized. ...
However, diverse multi-source features and change patterns bring challenges to the change detection in urban cases. ...
Meanwhile, multi-source satellite sensors provide a variety of RS images for change detection, such as synthetic aperture radar (SAR) [11, 12] , multispectral [13] , and hyperspectral images [14, 15 ...
doi:10.3390/rs12152460
fatcat:itc5ixwgrffuzgzyj2yrycaree
Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2016 Budget Estimates
2015
Zenodo
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The Video-rate Synthetic Aperture Radar (ViSAR) program seeks to develop a real-time spotlight synthetic aperture radar (SAR) imaging sensor that will provide imagery of a region to allow high-resolution ...
Insight will enable detection of threat networks through combination and analysis of information from imaging and non-imaging sensors and other sources. ...
doi:10.5281/zenodo.1215366
fatcat:cqn5tyfixjanzp5x3tgfkpedri
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