Results 161 to 170 of about 103,839 (206)

SAR Raw Data Generation Using Inverse SAR Image Formation Algorithms

2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006
SAR raw data generation using inverse chirp scaling and inverse omega-k algorithms is a computationally efficient technique as compared to the traditional temporal simulation. However, the simulation of raw data from a reflectivity map requires the inclusion of coherent information.
Khwaja, Shaharyar, Ferro-Famil, Laurent, Pottier, Eric   +2 more
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Segmentation of SAR images

Pattern Recognition, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
El Zaart, Ali, Ziou, Djemel, Wang, Shengrui, Jiang, Qingshan   +3 more
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DEMs and SAR Images

2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006
The use of fractal dimension as a discriminator in SAR images for analyzing surface roughness has been proved to be effective. Fractal dimension has also been used as an indicator for terrain surface roughness in DEM. However, a single fractal dimension is not a very useful measure.
H.-T. Teng, L.-T. Tay
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Pre-formation SAR to SAR image registration

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2002
A critical step in the formation of multi-pass IFSAR and CCD products involves the registration to subpixel scales of two complex SAR images. This is usually performed as a two step process where correspondences between the images are determined followed by a warping of the imagery. Since more information is available in the phase history data (PHD) it
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Passive phaseless SAR imaging

2018 IEEE Radar Conference (RadarConf18), 2018
Passive synthetic aperture radar (SAR) is a coherent imaging method. Thus, performance is very susceptible to phase error, which result because the transmitter is not under control of the user. These errors result from poor clock synchronization, uncertainty in transmitter location and trajectory error, to name a few.
Eric Mason, Birsen Yazici
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Image Decomposition Application to SAR Images

2003
We construct an algorithm to split an image into a sum u + v of a bounded variation component and a component containing the textures and the noise. This decomposition is inspired from arecent work of Y. Meyer. We find this decomposition by minimizing a convex functional which depends on the two variables u and v, alternatively in each variable.
Aujol, Jean-François, Aubert, Gilles, Blanc-Féraud, Laure, Chambolle, Antonin   +3 more
openaire   +2 more sources

Polarimetric SAR Image Factorization

IEEE Transactions on Geoscience and Remote Sensing, 2017
This paper reformulates the problem of polarimetric incoherent target decomposition as a general image factorization which aims to simultaneously estimate a dictionary of meaningful atom scatterers and their corresponding spatial distribution maps.
Feng Xu, Qian Song, Ya-Qiu Jin
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Spotlight SAR Imaging Algorithms

2017
Imaging processing is the prominent technical characteristics and core content of synthetic aperture radar. Since 1970s, during more than 30 years’ development a number of imaging algorithms for Spotlight synthetic aperture radar have emerged in succession.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang   +6 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

SAR Ship Target Detection Using SAR Images

2023 IEEE International Performance, Computing, and Communications Conference (IPCCC), 2023
Muhammad Yasir, Wan Jianhua, Liu Shanwei, Xu Mingming   +3 more
openaire   +1 more source