Infrared Small Target Detection Based on Weighted Improved Double Local Contrast Measure
The robust detection of infrared small targets plays an important role in infrared early warning systems. However, the high-brightness interference present in the background makes it challenging. To solve this problem, we propose a weighted improved double local contrast measure (WIDLCM) algorithm i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/21/4030 |
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| author | Han Wang Yong Hu Yang Wang Long Cheng Cailan Gong Shuo Huang Fuqiang Zheng |
| author_facet | Han Wang Yong Hu Yang Wang Long Cheng Cailan Gong Shuo Huang Fuqiang Zheng |
| author_sort | Han Wang |
| collection | DOAJ |
| description | The robust detection of infrared small targets plays an important role in infrared early warning systems. However, the high-brightness interference present in the background makes it challenging. To solve this problem, we propose a weighted improved double local contrast measure (WIDLCM) algorithm in this paper. Firstly, we utilize a fixed-scale three-layer window to compute the double neighborhood gray difference to screen candidate target pixels and estimate the target size. Then, according to the size information of each candidate target pixel, an improved double local contrast measure (IDLCM) based on the gray difference is designed to enhance the target and suppress the background. Next, considering the structural characteristics of the target edge, we propose the variance-based weighting coefficient to eliminate clutter further. Finally, the targets are detected by an adaptive threshold. Extensive experimental results demonstrate that our method outperforms several state-of-the-art methods. |
| format | Article |
| id | doaj-art-ebad5d0b362e46e49d71d8794f2a51a5 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-ebad5d0b362e46e49d71d8794f2a51a52025-08-20T02:14:16ZengMDPI AGRemote Sensing2072-42922024-10-011621403010.3390/rs16214030Infrared Small Target Detection Based on Weighted Improved Double Local Contrast MeasureHan Wang0Yong Hu1Yang Wang2Long Cheng3Cailan Gong4Shuo Huang5Fuqiang Zheng6Key Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaKey Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaKey Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaKey Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaKey Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaKey Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaKey Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaThe robust detection of infrared small targets plays an important role in infrared early warning systems. However, the high-brightness interference present in the background makes it challenging. To solve this problem, we propose a weighted improved double local contrast measure (WIDLCM) algorithm in this paper. Firstly, we utilize a fixed-scale three-layer window to compute the double neighborhood gray difference to screen candidate target pixels and estimate the target size. Then, according to the size information of each candidate target pixel, an improved double local contrast measure (IDLCM) based on the gray difference is designed to enhance the target and suppress the background. Next, considering the structural characteristics of the target edge, we propose the variance-based weighting coefficient to eliminate clutter further. Finally, the targets are detected by an adaptive threshold. Extensive experimental results demonstrate that our method outperforms several state-of-the-art methods.https://www.mdpi.com/2072-4292/16/21/4030infrared small target detectionhuman visual system (HVS)local contrastvariance |
| spellingShingle | Han Wang Yong Hu Yang Wang Long Cheng Cailan Gong Shuo Huang Fuqiang Zheng Infrared Small Target Detection Based on Weighted Improved Double Local Contrast Measure Remote Sensing infrared small target detection human visual system (HVS) local contrast variance |
| title | Infrared Small Target Detection Based on Weighted Improved Double Local Contrast Measure |
| title_full | Infrared Small Target Detection Based on Weighted Improved Double Local Contrast Measure |
| title_fullStr | Infrared Small Target Detection Based on Weighted Improved Double Local Contrast Measure |
| title_full_unstemmed | Infrared Small Target Detection Based on Weighted Improved Double Local Contrast Measure |
| title_short | Infrared Small Target Detection Based on Weighted Improved Double Local Contrast Measure |
| title_sort | infrared small target detection based on weighted improved double local contrast measure |
| topic | infrared small target detection human visual system (HVS) local contrast variance |
| url | https://www.mdpi.com/2072-4292/16/21/4030 |
| work_keys_str_mv | AT hanwang infraredsmalltargetdetectionbasedonweightedimproveddoublelocalcontrastmeasure AT yonghu infraredsmalltargetdetectionbasedonweightedimproveddoublelocalcontrastmeasure AT yangwang infraredsmalltargetdetectionbasedonweightedimproveddoublelocalcontrastmeasure AT longcheng infraredsmalltargetdetectionbasedonweightedimproveddoublelocalcontrastmeasure AT cailangong infraredsmalltargetdetectionbasedonweightedimproveddoublelocalcontrastmeasure AT shuohuang infraredsmalltargetdetectionbasedonweightedimproveddoublelocalcontrastmeasure AT fuqiangzheng infraredsmalltargetdetectionbasedonweightedimproveddoublelocalcontrastmeasure |