Results 1 to 10 of about 302,443 (167)

Sparse image reconstruction for molecular imaging [PDF]

IEEE Transactions on Image Processing, 2008
The application that motivates this paper is molecular imaging at the atomic level. When discretized at sub-atomic distances, the volume is inherently sparse.
Hero III, Alfred O., Raich, Raviv, Ting, Michael   +2 more
core   +3 more sources

Inverse Synthetic Aperture Radar Sparse Imaging Recovery Technique Based on Improved Alternating Direction Method of Multipliers [PDF]

Sensors
Inverse synthetic aperture radar (ISAR) technology is widely used in the field of target recognition. This research addresses the image reconstruction error in sparse imaging for bistatic radar systems. In this paper, sparse imaging technology is studied,
Hongxing Hao, Wenjie Zhu, Ronghuan Yu, Desheng Liu   +3 more
doaj   +2 more sources

Sparse Aperture InISAR Imaging via Sequential Multiple Sparse Bayesian Learning [PDF]

Sensors, 2017
Interferometric inverse synthetic aperture radar (InISAR) imaging for sparse-aperture (SA) data is still a challenge, because the similarity and matched degree between ISAR images from different channels are destroyed by the SA data.
Shuanghui Zhang, Yongxiang Liu, Xiang Li
doaj   +3 more sources

Multi-wavelength graph convolutional network for high-performance sparse multispectral optoacoustic tomography [PDF]

Photoacoustics
The rapid advancement of multispectral optoacoustic tomography (MSOT) has developed for label-free biomedical imaging by providing anatomical and functional visualization through multi-wavelength laser excitation and ultrasound detection.
Mengyang Lu, Jingxian Wang, Jiayuan Peng, Boyi Li, Xin Liu   +4 more
doaj   +2 more sources

LOFAR sparse image reconstruction [PDF]

Astronomy & Astrophysics, 2015
Context. The LOw Frequency ARray (LOFAR) radio telescope is a giant digital phased array interferometer with multiple antennas distributed in Europe. It provides discrete sets of Fourier components of the sky brightness. Recovering the original brightness distribution with aperture synthesis forms an inverse problem that can be solved by various ...
Garsden, H., Girard, J. N., Starck, J. L., Corbel, S., Tasse, C., Woiselle, A., McKean, J. P., van Amesfoort, A. S., Anderson, J., Avruch, I. M., Beck, R., Bentum, M. J., Best, P., Breitling, F., Broderick, J., Brueggen, M., Butcher, H. R., Ciardi, B., de Gasperin, F., de Geus, E., de Vos, M., Duscha, S., Eisloeffel, J., Engels, D., Falcke, H., Fallows, R. A., Fender, R., Ferrari, C., Frieswijk, W., Garrett, M. A., Griessmeier, J., Gunst, A. W., Hassall, T. E., Heald, G., Hoeft, M., Hoerandel, J., van der Horst, A., Juette, E., Karastergiou, A., Kondratiev, V. I., Kramer, M., Kuniyoshi, M., Kuper, G., Mann, G., Markoff, S., McFadden, R., McKay-Bukowski, D., Mulcahy, D. D., Munk, H., Norden, M. J., Orru, E., Paas, H., Pandey-Pommier, M., Pandey, V. N., Pietka, G., Pizzo, R., Polatidis, A. G., Renting, A., Roettgering, H., Rowlinson, A., Schwarz, Dominik, Sluman, J., Smirnov, O., Stappers, B. W., Steinmetz, M., Stewart, A., Swinbank, J., Tagger, M., Tang, Y., Tasse, C., Thoudam, S., Toribio, C., Vermeulen, R., Vocks, C., van Weeren, R. J., Wijnholds, S. J., Wise, M. W., Wucknitz, O., Yatawatta, S., Zarka, P., Zensus, A.   +80 more
  +16 more sources

3D SAR Imaging Method Based on Learned Sparse Prior

Leida xuebao, 2023
The development of 3D Synthetic Aperture Radar (SAR) imaging is currently hampered by issues such as high data dimension, high system complexity, and low imaging processing efficiency.
Mou WANG, Shunjun WEI, Rong SHEN, Zichen ZHOU, Jun SHI, Xiaoling ZHANG   +5 more
doaj   +1 more source

Sparse SAR Imaging Method for Ground Moving Target via GMTSI-Net

Remote Sensing, 2022
Ground moving targets (GMT), due to the existence of velocity in range and azimuth direction, will lead to the deviation from their true position and defocus in the azimuth direction during the synthetic aperture radar (SAR) imaging process.
Luwei Chen, Jiacheng Ni, Ying Luo, Qifang He, Xiaofei Lu   +4 more
doaj   +1 more source

Sparse pixel image sensor

Scientific Reports, 2022
AbstractAs conventional frame-based cameras suffer from high energy consumption and latency, several new types of image sensors have been devised, with some of them exploiting the sparsity of natural images in some transform domain. Instead of sampling the full image, those devices capture only the coefficients of the most relevant spatial frequencies.
Lukas Mennel, Dmitry K. Polyushkin, Dohyun Kwak, Thomas Mueller   +3 more
openaire   +4 more sources

Sparse representation of astronomical images [PDF]

Journal of the Optical Society of America A, 2013
Sparse representation of astronomical images is discussed. It is shown that a significant gain in sparsity is achieved when particular mixed dictionaries are used for approximating these types of images with greedy selection strategies. Experiments are conducted to confirm: i)Effectiveness at producing sparse representations.
Rebollo-Neira, Laura, Bowley, James
openaire   +3 more sources

Omega-KA-Net: A SAR Ground Moving Target Imaging Network Based on Trainable Omega-K Algorithm and Sparse Optimization

Remote Sensing, 2022
The ground moving target (GMT) is defocused due to unknown motion parameters in synthetic aperture radar (SAR) imaging. Although the conventional Omega-K algorithm (Omega-KA) has been proven to be applicable for GMT imaging, its disadvantages are slow ...
Hongwei Zhang, Jiacheng Ni, Shichao Xiong, Ying Luo, Qun Zhang   +4 more
doaj   +1 more source