An Image Denoising Method for Arc-Scanning SAR for Airport Runway Foreign Object Debris Detection-Reference-Cited by-同舟云学术

An Image Denoising Method for Arc-Scanning SAR for Airport Runway Foreign Object Debris Detection

Published:2023-02-16 Issue:4 Volume:12 Page:984
ISSN:2079-9292
Container-title:Electronics
language:en
Short-container-title:Electronics

Author:

Wang Yuming¹²^ORCID,Huang Haifeng¹,Wang Jian³^ORCID,Wang Pengyu⁴,Song Qian⁵

Affiliation:

1. School of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen 510006, China

2. College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China

3. School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China

4. School of Electronic Information, Hunan First Normal University, Changsha 410205, China

5. Hunan GHz Information Technology Co., Ltd., Changsha 410073, China

Abstract

Arc-scanning synthetic aperture radar (AS-SAR) is an emerging technical means for detecting foreign object debris (FOD). Most FOD are small and appear as weak targets with a low signal-to-noise ratio (SNR) in AS-SAR images. Therefore, image noise is a fundamental challenge in detecting FOD on airport runways that leads to many false alarms. A weak scattering denoising method is proposed to aim at the noise caused by speckle and rough surface scattering. To enhance FOD detection, a transformation parameter concept is offered and adopted, which has different characteristics for the target and background. This paper estimates the transformation parameter through logarithms, normalization, and morphological erosion and optimizes them with edge-preserving filtering. The results show that despeckling and runway scattering suppression can be simultaneously implemented, and that field experiments validate the performance of this method.

Funder

Natural Science Foundation of Hunan Province, China

Natural Science Foundation of China

Key Areas of R&D Projects in Guangdong Province

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Link

https://www.mdpi.com/2079-9292/12/4/984/pdf

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