ICIAP
1999
ACM
14 years 5 months ago
1999
ACM
—In recent times, improvements in imaging technology have made available an incredible array of information in image format. While powerful and sophisticated image processing sof...
DAC
2009
ACM
14 years 5 months ago
2009
ACM
This work discusses a 1024-point, memory-on-logic 3DIC FFT processor for synthetic aperture radar (SAR), sent to
CIARP
2003
Springer
14 years 6 months ago
2003
Springer
The precise knowledge of the statistical properties of synthetic aperture radar (SAR) data plays a central role in image processing and understanding. These properties can be used ...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. A mixture multiscale autoregressive moving average (ARMA) network is proposed for unsupervised segmentation of synthetic aperture radar (SAR) image. The network combines ...
ICPP
2007
IEEE
14 years 7 months ago
2007
IEEE
The real-time image forming in future, high-end synthetic aperture radar systems is an example of an application that puts new demands on computer architectures. The initial quest...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We propose a recursive spatial-domain speckle reduction algorithm for synthetic aperture radar (SAR) imagery based on the unscented Kalman filter (UKF) with a discontinuity-adapt...
ICPR
2000
IEEE
15 years 1 months ago
2000
IEEE
In this paper we introduce a new approach for recovering shape-from-shading (SFS) from synthetic aperture radar (SAR) images of the terrain. Three contributions are proposed. Firs...
ICIP
1998
IEEE
15 years 2 months ago
1998
IEEE
ICIP
1998
IEEE
15 years 2 months ago
1998
IEEE
This paper proposes a restoration scheme for noisy images generated by coherent imaging systems (e.g., synthetic aperture radar, synthetic aperture sonar, ultrasound imaging, and ...
ICIP
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper presents a new definition of a spatial entropy mainly based on the Markov Random Field (MRF) properties. Starting with the study of the entropy proposed in [1] for the ...