Detection of Ground Clutter from Weather Radar Using a Dual-Polarization and Dual-Scan Method

Golbon-Haghighi, Mohammad-Hossein; Zhang, Guifu; Li, Yinguang; Doviak, Richard

doi:10.3390/atmos7060083

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Detection of Ground Clutter from Weather Radar Using a Dual-Polarization and Dual-Scan Method

2016
By Golbon-Haghighi, Mohammad-Hossein ; Zhang, Guifu ; Li, Yinguang ; ...
Source: Atmosphere 2016, 7(6), 83

[PDF-2.10 MB]

Details You May Also Like

Details:

Journal Title:

Atmosphere
Personal Author:

Golbon-Haghighi, Mohammad-Hossein ; Zhang, Guifu ; Li, Yinguang ; Doviak, Richard

Golbon-Haghighi, Mohammad-Hossein ; Zhang, Guifu ; Li, Yinguang ; Doviak, Richard Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies)

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies) Less -
Description:

A novel dual-polarization and dual-scan (DPDS) classification algorithm is developed for clutter detection in weather radar observations. Two consecutive scans of dual-polarization radar echoes are jointly processed to estimate auto- and cross-correlation functions. Discriminants are then defined and estimated in order to separate clutter from weather based on their physical and statistical properties. An optimal Bayesian classifier is used to make a decision on clutter presence from the estimated discriminant functions. The DPDS algorithm is applied to the data collected with the KOUN polarimetric radar and compared with the existing detection methods. It is shown that the DPDS algorithm yields a higher probability of detection and lower false alarm rate in clutter detection.
Keywords:

[+]

Clutter Detection Dual-polarization Dual-scan (DPDS) Observations Radar
Source:

Atmosphere 2016, 7(6), 83
DOI:

https://doi.org/10.3390/atmos7060083
Document Type:

Journal Article
Funding:

Grant no. NA11OAR4320072
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:96f6b62d73448be7033c42d6a8e7800a6ec100dd322d3bf5b07cfdff63f184a1
Download URL:

https://repository.library.noaa.gov/view/noaa/32180/noaa_32180_DS1.pdf
File Type:

No Additional Files

More +

Detection of Ground Clutter from Weather Radar Using a Dual-Polarization and Dual-Scan Method

Details:

Supporting Files

You May Also Like