Radar-echo tracking by use of invariant moments.

Appl Opt

Institute of Geophysics, Faculty of Physics, Warsaw University, ulica Pasteura 7, 02-093 Warsaw, Poland.

Published: October 2003

A number of techniques to track rainfall patterns by use of radar observations have been developed over the years. We present a method for radar-echo tracking based on Hu invariant moments. The method has been tried on several sequences of test images, and the derived displacement fields were in good agreement with the real motions of the tested objects. For the real data obtained from the conventional meteorological radar in Legionowo the method occasionally failed when changes in the radar echo between observations were too large.

Download full-text PDF

Source
http://dx.doi.org/10.1364/ao.42.005891DOI Listing

Publication Analysis

Top Keywords

radar-echo tracking
8
invariant moments
8
tracking invariant
4
moments number
4
number techniques
4
techniques track
4
track rainfall
4
rainfall patterns
4
patterns radar
4
radar observations
4

Similar Publications

Since probability hypothesis density (PHD) filters do not need explicit data association, they have recently been widely used in radar multi-target tracking (MTT). However, in existing PHD filters, sampling times are generally considered the same for all targets. Due to the limitation of antenna beam width in radar applications, the same sampling time for all targets will lead to a mismatch between the predicted data and measurement data, reducing the accuracy of radar MTT.

View Article and Find Full Text PDF

Micro-Motion Extraction for Marine Targets by Multi-Pulse Delay Conjugate Multiplication and Layered Tracking.

Sensors (Basel)

April 2023

Beijing Key Laboratory of Millimeter Wave and Terahertz Techniques, School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.

The detection and recognition of marine targets can be improved by utilizing the micro-motion induced by ocean waves. However, distinguishing and tracking overlapping targets is challenging when multiple extended targets overlap in the range dimension of the radar echo. In this paper, we propose a multi-pulse delay conjugate multiplication and layered tracking (MDCM-LT) algorithm for micro-motion trajectory tracking.

View Article and Find Full Text PDF

Multi-Feature Matching GM-PHD Filter for Radar Multi-Target Tracking.

Sensors (Basel)

July 2022

Laboratory of Array and Information Processing, Hohai University, Nanjing 210098, China.

Multi-target tracking (MTT) is one of the most important functions of radar systems. Traditional multi-target tracking methods based on data association convert multi-target tracking problems into single-target tracking problems. When the number of targets is large, the amount of computation increases exponentially.

View Article and Find Full Text PDF

Severe hail days account for the vast majority of severe weather-induced property losses in the United States each year. In the United States, real-time detection of severe storms is largely conducted using ground-based radar observations, mostly using the operational Next Generation Weather Radar network (NEXRAD), which provides three-dimensional information on the physics and dynamics of storms at ~5-min time intervals. Recent NEXRAD upgrades to higher resolution and to dual-polarization capabilities have provided improved hydrometeor discrimination in real time.

View Article and Find Full Text PDF

Radar-echo tracking by use of invariant moments.

Appl Opt

October 2003

Institute of Geophysics, Faculty of Physics, Warsaw University, ulica Pasteura 7, 02-093 Warsaw, Poland.

A number of techniques to track rainfall patterns by use of radar observations have been developed over the years. We present a method for radar-echo tracking based on Hu invariant moments. The method has been tried on several sequences of test images, and the derived displacement fields were in good agreement with the real motions of the tested objects.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!