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.42.005891 | DOI Listing |
Sci Rep
March 2024
School of Computer and Information, Hohai University, Nanjing, 210098, China.
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 PDFSensors (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 PDFSensors (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 PDFJ Appl Meteorol Climatol
May 2019
School of Meteorology, University of Oklahoma, Norman, Oklahoma.
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 PDFAppl 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 PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!