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An Unsupervised Port Detection Method in Polarimetric SAR Images Based on Three-Component Decomposition and Multi-Scale Thresholding Segmentation

Chun Liu, Jian Yang, Jiangbin Zheng, Xuan Nie
2022 Remote Sensing  
This paper proposes an unsupervised port detection method by extracting the water of the port based on three-component decomposition and multi-scale thresholding segmentation.  ...  It is difficult to detect ports in polarimetric SAR images due to the complicated components, morphology, and coastal environment.  ...  Thus, this paper proposes an unsupervised port detection method by extracting port water using a proposed polarimetric parameter based on three-component decomposition in polarimetric SAR images.  ... 
doi:10.3390/rs14010205 fatcat:lo3ifx25ybbl5bxnqwynjt4wea

Ship Detection Based on Information Theory and Segmentation from Synthetic Aperture Radar (SAR) Images

2020 International journal of recent technology and engineering  
The letter points to a ship detection scheme for SAR images exploiting a segmentation-based morphological operation using entropy.  ...  The method was implemented and tested on the homogenous, heterogeneous and strong clutter SAR images and the results are promising and showing that the proposed method can improve the vessel detection  ...  Subsequently, a new system was created to detect the objects in port based on image segmentation for SAR images [18] .  ... 
doi:10.35940/ijrte.f8465.038620 fatcat:i2jbcwb6azamnpff7rwvhmflo4

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
and Hanssen, R.F., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging  ...  ., and Drake, V.A., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674  ...  ., +, TGRS Aug. 2019 6003-6017 An Object-Based Hierarchical Compound Classification Method for Change Detection in Heterogeneous Optical and SAR Images.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

Improving Urban Change Detection From Multitemporal SAR Images Using PCA-NLM

Osama Yousif, Yifang Ban
2013 IEEE Transactions on Geoscience and Remote Sensing  
Beijing and Shanghai, the largest cities in China, were selected as study areas. Multitemporal SAR images acquired by ERS-2 SAR and ENVISAT ASAR sensors were used for pixel-based change detection.  ...  for reduction of the speckle effect in change detection, (3) to investigate spatio-contextual change detection, (4) to investigate object-based unsupervised change detection, and (5) to investigate a  ...  Fig. 4.9 shows, schematically, a three scale wavelet decomposition of an object change signal.  ... 
doi:10.1109/tgrs.2013.2245900 fatcat:2eoewpshe5ahxn5gwegyekraee

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
The main applications of ML-based RSP are then analysed and structured based on the application field.  ...  Modern radar systems have high requirements in terms of accuracy, robustness and real-time capability when operating on increasingly complex electromagnetic environments.  ...  In [491] , the authors proposed a ship detection and segmentation method based on an improved mask R-CNN model [462] . This method could accurately detect and segment ships at the pixel level.  ... 
arXiv:2009.13702v1 fatcat:m6am73324zdwba736sn3vmph3i

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 4669-4682 Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field.  ...  ., +, TIP 2020 8855-8869 Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Applied Imagery Pattern Recognition 2011

2011 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  
Likewise, computer image processing methods can detect the subtlest variations in brush strokes, variations that elude most trained eyes.  ...  One such program is Finder which aims to develop technology that, with the aid of an analyst, geolocates an outdoor image or video from anywhere on the land surface of the world, via the use of publicly  ...  We report on the use of various fe ature detection algorithms being applied to the polarimetric and interferometric data, including entropy-anisotropy decomposition, wavelet transforms, and methods based  ... 
doi:10.1109/aipr.2011.6176381 fatcat:7bbefbxrnnfjvdtun4zixrckjy

Contents

2011 Procedia Engineering  
. . . . . . . . . . . . . . . . . . . . . .. . . . . 1590 A Novel Unsupervised Classifi er of Polarimetric SAR Images Wang Wenguang, Lu Fei, Sun Zuowei and Wang Jun . . . . . . . . . . . . . . . . . .  ...  Chen . . . 3017 Data fusion in the Internet of Things Xiaotie Qin and Yuesheng Gu . . . 3466 Motion Detection based on Optical Flow and Self-Adaptive Threshold Segmentation  ...  Monte Carlo Simulation of Energy Distribution of Radiation Field Liu Yi, Chen Xiao-Bai and Wang Chun- Yan . . 3330 An Improved Association Rules Algorithm based on Frequent Item Sets Yaqiong Jiang  ... 
doi:10.1016/s1877-7058(11)04811-9 fatcat:adrkzzediretxma23pbeqmltvu

Virtualized Development and Testing for Embedded Cluster Computing

Ian Vince McLoughlin, Timo Rolf Bretschneider, Chen Zheming
2012 International Journal of Networking and Computing  
An ARM cluster simulator is presented, constructed using QEMU and virtual networking, and shown used for the development and validation of distributed embedded processing tasks on a cluster-type architecture  ...  This early example, which will be shown performing distributed synthetic aperture radar image processing, is representative of a growing number of systems in the pervasive and ambient computing fields.  ...  handling in particular.  ... 
doi:10.15803/ijnc.2.2_160 fatcat:sgdq3rq7gzdkziby4jalgvcnyi

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
By applying an already established active learning approach based on a Support Vector Machine with relevance feedback [2], we can limit ourselves to a limited number of typical satellite images to extract  ...  In this publication, we focus on the Polar case which requires the selection of validation areas, the generation of a training dataset, the development and testing of deep learning algorithms, and the  ...  The district is an intensive cultivation area, mainly devoted to wheat, tomatoes and fresh vegetables cultivation The Chinese one is in the Hehie Daman district covering an area of 20000 ha with fixed  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

Discrimination of Earthquake-Induced Building Destruction from Space Using a Pretrained CNN Model

Min Ji, Lanfa Liu, Rongchun Zhang, Manfred F. Buchroithner
2020 Applied Sciences  
The building is an indispensable part of human life which provides a place for people to live, study, work, and engage in various cultural and social activities.  ...  People are exposed to earthquakes, and damaged buildings caused by earthquakes are one of the main threats.  ...  In the previous study, object-based image analysis (OBIA) was proposed by Blaschke et al. 2001 [189] and evaluated on post-event ALOS-2/PALSAR-2 dual polarimetric SAR imagery after the 2015 Nepal earthquake  ... 
doi:10.3390/app10020602 fatcat:mysjwv5eqzfrfjxsc5wcuywvzm

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  ., +, TIM Dec. 2020 9517-9525 A Fast Circle Detection Method Based on a Tri-Class Thresholding for High Detail FPC Images.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
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.  ...  Nguyen, D.K., +, TIM 2021 7504308 A Novel Attitude Measurement Method Based on Forward Polarimetric Imaging of Skylight. Wan, Z., +, ber.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Conference Digest

2020 2020 IEEE Aerospace Conference  
of measuring Martian air temperature, wind speed, atmospheric pressure, and local magnetic fields.  ...  The Auxiliary Payload Sensor Suite (APSS), a collection of environmental sensors carried by the Interior exploration using Seismic Investigations, Geodesy, and Heat Transport (InSight) lander, is capable  ...  The mission, a NASA-ISRO partnership, uses two fully polarimetric SARs, one at L-band (L-SAR) and one at S-band (S-SAR), in exact repeating orbits every 12 days that allows interferometric combination  ... 
doi:10.1109/aero47225.2020.9172613 fatcat:ioqf5ijrx5gvffu3ls34aa2nsq

Sea ice monitoring using spaceborne multi-polarization and polarimetric SAR imagery

Bernd Scheuchl
2006
Pixel by pixel application of target decomposition methods can be used to distinguish thin ice, first-year ice, and multi-year ice with some success.  ...  The primary objective of this work is to assess the potential value of RADARSAT-2 multi-polarization and polarimetric C-band SAR imagery for classification of sea ice and to develop improved classifiers  ...  A combination of the Wishart classifier with an unsupervised method based on target decomposition is suggested in [60] and [63] .  ... 
doi:10.14288/1.0065869 fatcat:t7fi4mttcfa3rmtohrwuxogw4y
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