Zobrazeno 1 - 10
of 1 520
pro vyhledávání: '"Raghu G."'
Autor:
James Park, Raghu G. Raj
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15089-15101 (2024)
Bistatic radar provides an additional degree of freedom in the observing geometry for imaging by using a spatially separated transmitter and receiver. This capability allows the capture of scattering phenomena at various bistatic sensing angles, whic
Externí odkaz:
https://doaj.org/article/c3f8b62843b940fbacdc6be5f042bdde
Autor:
Robert W. Jansen, Raghu G. Raj
Publikováno v:
IEEE Access, Vol 9, Pp 131109-131119 (2021)
Multi-channel Synthetic Aperture Radar (MSAR) in the maritime environment has proven to be an effective technique for improved image fidelity and scene characterization. Past demonstrations of MSAR-based methods for improvements such as motion induce
Externí odkaz:
https://doaj.org/article/1fe196359f16456da5c6b32aa55f9aa9
Since most inverse problems arising in scientific and engineering applications are ill-posed, prior information about the solution space is incorporated, typically through regularization, to establish a well-posed problem with a unique solution. Ofte
Externí odkaz:
http://arxiv.org/abs/2406.10767
Publikováno v:
IEEE Access, Vol 8, Pp 127440-127449 (2020)
We present novel experimental evidence that demonstrates the effectiveness of exploiting scene motion information for the analysis of scene structure in maritime imaging applications. We analyze data captured by our novel airborne Multi-channel SAR (
Externí odkaz:
https://doaj.org/article/aa8282cf91854b099d30baf7fb681587
Publikováno v:
IEEE Access, Vol 8, Pp 27676-27686 (2020)
This paper presents millimeter wave (MMW) pulse-Doppler radar for the remote sensing of acoustic vibration for targets in motion. A key advance in this work is the development of precision motion compensation for MMW vibrometry, making it possible fo
Externí odkaz:
https://doaj.org/article/d186dcc62e8e485983fb8623c4b754a9
Motivated by a number of applications in signal processing, we study the following question. Given samples of a multidimensional signal of the form \begin{align*} f(\bs\ell)=\sum_{k=1}^K a_k\exp(-i\langle \bs\ell, \w_k\rangle), \\ \w_1,\cdots,\w_k\in
Externí odkaz:
http://arxiv.org/abs/2404.11004
Algorithm unfolding or unrolling is the technique of constructing a deep neural network (DNN) from an iterative algorithm. Unrolled DNNs often provide better interpretability and superior empirical performance over standard DNNs in signal estimation
Externí odkaz:
http://arxiv.org/abs/2402.13106
Publikováno v:
in IEEE Transactions on Computational Imaging, vol. 10, pp. 399-414, 2024
Incorporating prior information into inverse problems, e.g. via maximum-a-posteriori estimation, is an important technique for facilitating robust inverse problem solutions. In this paper, we devise two novel approaches for linear inverse problems th
Externí odkaz:
http://arxiv.org/abs/2311.17248
Target Classification in Synthetic Aperture Radar Images Using Quantized Wavelet Scattering Networks
Publikováno v:
Sensors, Vol 21, Iss 15, p 4981 (2021)
The need to classify targets and features in high-resolution imagery is of interest in applications such as detection of landmines in ground penetrating radar and tumors in medical ultrasound images. Convolutional neural networks (CNNs) trained using
Externí odkaz:
https://doaj.org/article/c531677b75a445ef9671889a196e1e54
For solving linear inverse problems, particularly of the type that appear in tomographic imaging and compressive sensing, this paper develops two new approaches. The first approach is an iterative algorithm that minimizers a regularized least squares
Externí odkaz:
http://arxiv.org/abs/2305.11120