Resolved target detection in clutter using correlated, dual-band imagery
نویسندگان
چکیده
منابع مشابه
Resolved target detection in clutter using correlated, dual-band imagery
This paper develops a log-likelihood ratio test statistic for resolved target detection in dual-band imagery because the previous work indicates that most of the processing gains come from processing just two bands. Simple, closed-form equations for the closed-form probabilities of false alarm and detection are given. A computer simulation validates the theory. A constant false alarm rate versi...
متن کاملTarget Detection in Clutter for Sonar Imagery
This proposal is a direct response to Challenge 22: Target detection in clutter. The Oceans Systems laboratory have a large experience in Target Detection and Classification in high resolution sonar imagery using a variety of techniques based on target responses and highlight shadow pairs[1,2,3]. Experiments on real scenarios show that these techniques work well in benign environments (flat and...
متن کاملClutter Removal in Sonar Image Target Tracking Using PHD Filter
In this paper we have presented a new procedure for sonar image target tracking using PHD filter besides K-means algorithm in high density clutter environment. We have presented K-means as data clustering technique in this paper to estimate the location of targets. Sonar images target tracking is a very good sample of high clutter environment. As can be seen, PHD filter because of its special f...
متن کاملHyperspectral imagery: Clutter adaptation in anomaly detection
Hyperspectral sensors are passive sensors that simultaneously record images for hundreds of contiguous and narrowly spaced regions of the electromagnetic spectrum. Each image corresponds to the same ground scene, thus creating a cube of images that contain both spatial and spectral information about the objects and backgrounds in the scene. In this paper, we present an adaptive anomaly detector...
متن کاملSlow Radar Target Detection in Heterogeneous Clutter using Thinned STAP
We address the problem of slow target detection in heterogeneous clutter through dimensionality reduction. Traditional approaches of implementing the space-time adaptive processing (STAP) require a large number of training data to estimate the clutter covariance matrix. In order to address the issue of limited training data especially in the heterogeneous scenarios, we propose a novel thinned S...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optical Engineering
سال: 2015
ISSN: 0091-3286
DOI: 10.1117/1.oe.54.10.103109