Infrared Maritime Small Target Detection Based on Multidirectional Uniformity and Sparse-Weight Similarity

Infrared maritime target detection is a key technology in the field of maritime search and rescue, which usually requires high detection accuracy. Despite the promising progress of principal component analysis methods, it is still challenging to detect small targets of unknown polarity (bright or da...

Full description

Bibliographic Details
Main Authors: Enzhong Zhao, Lili Dong, Hao Dai
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/21/5492
_version_ 1797466596050993152
author Enzhong Zhao
Lili Dong
Hao Dai
author_facet Enzhong Zhao
Lili Dong
Hao Dai
author_sort Enzhong Zhao
collection DOAJ
description Infrared maritime target detection is a key technology in the field of maritime search and rescue, which usually requires high detection accuracy. Despite the promising progress of principal component analysis methods, it is still challenging to detect small targets of unknown polarity (bright or dark) with strong edge interference. Using the partial sum of tubal nuclear norm to estimate low-rank background components and weighted <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>l</mi><mn>1</mn></msub></semantics></math></inline-formula> norm to estimate sparse components is an effective method for target extraction. In order to suppress the strong edge interference, considering that the uniformity of the target scattering field is significantly higher than that of the background scattering field in the eigenvalue of the structure tensor, a prior weight based on the multidirectional uniformity of structure tensor eigenvalue was proposed and applied to the optimization model. In order to detect targets with unknown polarity, the images with opposite polarity were substituted into the optimization model, respectively, and the sparse-weight similarity is used to judge the polarity of the target. In order to make the method more efficient, the polarity judgment is made in the second iteration, and then, the false iteration will stop. The proposed method is compared with nine advanced baseline methods on 14 datasets and shows significant strong robustness, which is beneficial to engineering applications.
first_indexed 2024-03-09T18:42:00Z
format Article
id doaj.art-62d28eb2e54d499aae90d85490cc6e07
institution Directory Open Access Journal
issn 2072-4292
language English
last_indexed 2024-03-09T18:42:00Z
publishDate 2022-10-01
publisher MDPI AG
record_format Article
series Remote Sensing
spelling doaj.art-62d28eb2e54d499aae90d85490cc6e072023-11-24T06:39:54ZengMDPI AGRemote Sensing2072-42922022-10-011421549210.3390/rs14215492Infrared Maritime Small Target Detection Based on Multidirectional Uniformity and Sparse-Weight SimilarityEnzhong Zhao0Lili Dong1Hao Dai2School of Information Science and Technology, Dalian Maritime University, Dalian 116026, ChinaSchool of Information Science and Technology, Dalian Maritime University, Dalian 116026, ChinaSchool of Information Science and Technology, Dalian Maritime University, Dalian 116026, ChinaInfrared maritime target detection is a key technology in the field of maritime search and rescue, which usually requires high detection accuracy. Despite the promising progress of principal component analysis methods, it is still challenging to detect small targets of unknown polarity (bright or dark) with strong edge interference. Using the partial sum of tubal nuclear norm to estimate low-rank background components and weighted <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>l</mi><mn>1</mn></msub></semantics></math></inline-formula> norm to estimate sparse components is an effective method for target extraction. In order to suppress the strong edge interference, considering that the uniformity of the target scattering field is significantly higher than that of the background scattering field in the eigenvalue of the structure tensor, a prior weight based on the multidirectional uniformity of structure tensor eigenvalue was proposed and applied to the optimization model. In order to detect targets with unknown polarity, the images with opposite polarity were substituted into the optimization model, respectively, and the sparse-weight similarity is used to judge the polarity of the target. In order to make the method more efficient, the polarity judgment is made in the second iteration, and then, the false iteration will stop. The proposed method is compared with nine advanced baseline methods on 14 datasets and shows significant strong robustness, which is beneficial to engineering applications.https://www.mdpi.com/2072-4292/14/21/5492infrared maritime small target detectionmultidirectional uniformitypartial sum of the tubal nuclear normtarget polarity judgmentsparse-weight similarity
spellingShingle Enzhong Zhao
Lili Dong
Hao Dai
Infrared Maritime Small Target Detection Based on Multidirectional Uniformity and Sparse-Weight Similarity
Remote Sensing
infrared maritime small target detection
multidirectional uniformity
partial sum of the tubal nuclear norm
target polarity judgment
sparse-weight similarity
title Infrared Maritime Small Target Detection Based on Multidirectional Uniformity and Sparse-Weight Similarity
title_full Infrared Maritime Small Target Detection Based on Multidirectional Uniformity and Sparse-Weight Similarity
title_fullStr Infrared Maritime Small Target Detection Based on Multidirectional Uniformity and Sparse-Weight Similarity
title_full_unstemmed Infrared Maritime Small Target Detection Based on Multidirectional Uniformity and Sparse-Weight Similarity
title_short Infrared Maritime Small Target Detection Based on Multidirectional Uniformity and Sparse-Weight Similarity
title_sort infrared maritime small target detection based on multidirectional uniformity and sparse weight similarity
topic infrared maritime small target detection
multidirectional uniformity
partial sum of the tubal nuclear norm
target polarity judgment
sparse-weight similarity
url https://www.mdpi.com/2072-4292/14/21/5492
work_keys_str_mv AT enzhongzhao infraredmaritimesmalltargetdetectionbasedonmultidirectionaluniformityandsparseweightsimilarity
AT lilidong infraredmaritimesmalltargetdetectionbasedonmultidirectionaluniformityandsparseweightsimilarity
AT haodai infraredmaritimesmalltargetdetectionbasedonmultidirectionaluniformityandsparseweightsimilarity