Results 251 to 260 of about 4,563 (282)

Adaptive strategies for clutter edge detection in radar

Signal Processing, 2021
Abstract In this paper, the problem of the detection and localization of clutter edges within training data is addressed. This is accomplished through a procedure capable of discriminating between either a unique homogeneous set or two heterogeneous subsets within a sliding window moving over the set of range bins of interest.
Da Xu, Pia Addabbo, Chengpeng Hao
exaly   +4 more sources

Some of the next articles are maybe not open access.

Related searches:

Adaptive Target Detection in Gaussian Clutter Edges

IEEE Transactions on Aerospace and Electronic Systems, 2020
This paper addresses the adaptive target detection problem in Gaussian clutter edges. We employ a two-step generalized likelihood ratio test (GLRT) for the detection problem. Our main contribution lies in devising an iterative algorithm in the second step of the GLRT to obtain the maximum likelihood estimation of the unknown clutter-plus-noise ...
Bo Tang, Zhongrui Huang
exaly   +2 more sources

Edge clutter rejection for PPI radar images

Aircraft Engineering and Aerospace Technology, 2013
Purpose – Incoherent primary radar is an applicable means for security surveillance of low-altitude airspace. An experimental airspace surveillance radar system has been developed for such applications. Target detector based on radar images is a powerful technique for the system.
Weishi Chen, Huansheng Ning
exaly   +2 more sources

Simultaneous mean and texture edge detection in SAR clutter

IET Radar, Sonar & Navigation, 1996
The authors consider simultaneous edge detection of synthetic aperture radar (SAR) images in terms of both the local mean value and a texture parameter related to the depth of modulation. They assume that SAR clutter has K-distributed statistics which can be completely characterised by the mean and order parameter of the distribution.
C J Oliver, Pierfrancesco Lombardo
exaly   +3 more sources

Surface target edge detection based on local energy model in sea clutter background

SPIE Proceedings, 2012
Most of edge detection algorithms are based on the gradient method. When texture is complex, especially in scale light background, the image may be cluttered. Thus, it is hard to find useful information in the edge map. In this article, a local energy model, which is relative to Human Vision System (HVS), is proposed to detect robust and useful ...
Wenbo Su, Zelin Shi, Lin Qi
openaire   +2 more sources

An adaptive cell averaging-based CFAR detector for interfering targets and clutter-edge situations

Digital Signal Processing, 2014
Abstract In practice, there are two common situations when the independent and identically distributed (IID) assumption no longer holds: (i) there is a clutter edge and (ii) there is an outlier, e.g., a clutter spike, an impulsive interference, or another interfering target.
Amir Zaimbashi
exaly   +2 more sources

Estimation of transition range bin in clutter edge for space time adaptive processing

Proceedings of 2011 IEEE CIE International Conference on Radar, 2011
In this paper, clutter suppression and target detection in clutter edge is discussed. Firstly the statistical model of the clutter edge is established, based on which maximum likelihood estimation for the transition range bin of the clutter edge is derived.
Bo Tang, Jun Tang, Yingning Peng
exaly   +2 more sources

Adaptive CFAR detection for clutter-edge heterogeneity using Bayesian inference

IEEE Transactions on Aerospace and Electronic Systems, 2003
Radar constant false alarm rate (CFAR) detection is addressed in this correspondence. Motivated by the frequently encountered problem of clutter-edge heterogeneity, we model the secondary data as a probability mixture and impose a hierarchical model for the inference problem. A two-stage CFAR detector structure is proposed. Empirical Bayesian inference
Biao Chen, P K Varshney
exaly   +2 more sources

Radar detection and tracking of targets in the presence of clutter edge via DP-TBD

2015 IEEE Radar Conference (RadarCon), 2015
In this paper, we focus on the performance improvement of dynamic programming based track-before-detect (DP-TBD) in heterogeneous Rayleigh background, in which case the surveillance scene is divided into two parts with separate independent and identically distributed Rayleigh probability density functions. Original DP-TBD (DP-TBD using signal amplitude
Haichao Jiang, Wei Yi, Guolong Cui
exaly   +2 more sources

Clutter Edge and Target Detection Method Based on Central Moment Feature

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE), 2023
Guoqiang Zhao
exaly   +2 more sources