Polarization-intensity joint imaging for marine target automatic recognition
The performance of sole optical imaging device for marine target recognition is degraded by sea fog, sea-glint, and many other disturbing factors. To enhance the ability of target recognition in marine environment, we propose a polarization-intensity joint imaging method and the corresponding proces...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-04-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10106049.2023.2204059 |
| _version_ | 1797681591153065984 |
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| author | Aiqi Zhong Qiang Fu Danfei Huang Jingping Zhu Huilin Jiang |
| author_facet | Aiqi Zhong Qiang Fu Danfei Huang Jingping Zhu Huilin Jiang |
| author_sort | Aiqi Zhong |
| collection | DOAJ |
| description | The performance of sole optical imaging device for marine target recognition is degraded by sea fog, sea-glint, and many other disturbing factors. To enhance the ability of target recognition in marine environment, we propose a polarization-intensity joint imaging method and the corresponding processing method. We combine fine imaging of polarization in a small field of view with wide-field imaging of visible light intensity, using visible light intensity information for large-scale target surveys. After locking onto areas of interest, we utilize high-resolution polarization cameras with small fields of view for detailed inspection. We enhance and fuse the information from areas of interest using the proposed matching information processing method. Meanwhile, to deal with problems existing in the marine environment polarization-intensity joint imaging, such as details loss in DoP (degree of polarization) image, low target resolution in the large field of view intensity image, and insufficient information in a single image, etc., we extract the details of raw image from DoFP (division-of-focal-plane) polarization camera as residual compensation for DoP image super-resolution and cooperate with the RealSR algorithm to super-resolve the local target details of the intensity image in a large field of view. On the premise that PIQE (Perception-based Image Quality Evaluator) reaches the excellent score range, the images with the same resolution are fused. The automatic recognition comparison before and after processing proves that the accuracy of target recognition can be effectively improved after processing. |
| first_indexed | 2024-03-11T23:47:09Z |
| format | Article |
| id | doaj.art-820fdf2533e84bca87b02fa223b676bc |
| institution | Directory Open Access Journal |
| issn | 1010-6049 1752-0762 |
| language | English |
| last_indexed | 2024-03-11T23:47:09Z |
| publishDate | 2023-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj.art-820fdf2533e84bca87b02fa223b676bc2023-09-19T09:13:18ZengTaylor & Francis GroupGeocarto International1010-60491752-07622023-04-0138110.1080/10106049.2023.22040592204059Polarization-intensity joint imaging for marine target automatic recognitionAiqi Zhong0Qiang Fu1Danfei Huang2Jingping Zhu3Huilin Jiang4College of Opto-Electronic Engineering, Changchun University of Science and TechnologyCollege of Opto-Electronic Engineering, Changchun University of Science and TechnologyCollege of Opto-Electronic Engineering, Changchun University of Science and TechnologyKey Laboratory for Physical Electronics and Devices of the Ministry of Education and Shaanxi Key Laboratory of Information Photonic Technique, Xi’an Jiaotong UniversityCollege of Opto-Electronic Engineering, Changchun University of Science and TechnologyThe performance of sole optical imaging device for marine target recognition is degraded by sea fog, sea-glint, and many other disturbing factors. To enhance the ability of target recognition in marine environment, we propose a polarization-intensity joint imaging method and the corresponding processing method. We combine fine imaging of polarization in a small field of view with wide-field imaging of visible light intensity, using visible light intensity information for large-scale target surveys. After locking onto areas of interest, we utilize high-resolution polarization cameras with small fields of view for detailed inspection. We enhance and fuse the information from areas of interest using the proposed matching information processing method. Meanwhile, to deal with problems existing in the marine environment polarization-intensity joint imaging, such as details loss in DoP (degree of polarization) image, low target resolution in the large field of view intensity image, and insufficient information in a single image, etc., we extract the details of raw image from DoFP (division-of-focal-plane) polarization camera as residual compensation for DoP image super-resolution and cooperate with the RealSR algorithm to super-resolve the local target details of the intensity image in a large field of view. On the premise that PIQE (Perception-based Image Quality Evaluator) reaches the excellent score range, the images with the same resolution are fused. The automatic recognition comparison before and after processing proves that the accuracy of target recognition can be effectively improved after processing.http://dx.doi.org/10.1080/10106049.2023.2204059polarization imagingimage fusionimage super-resolutionmarine target recognition |
| spellingShingle | Aiqi Zhong Qiang Fu Danfei Huang Jingping Zhu Huilin Jiang Polarization-intensity joint imaging for marine target automatic recognition Geocarto International polarization imaging image fusion image super-resolution marine target recognition |
| title | Polarization-intensity joint imaging for marine target automatic recognition |
| title_full | Polarization-intensity joint imaging for marine target automatic recognition |
| title_fullStr | Polarization-intensity joint imaging for marine target automatic recognition |
| title_full_unstemmed | Polarization-intensity joint imaging for marine target automatic recognition |
| title_short | Polarization-intensity joint imaging for marine target automatic recognition |
| title_sort | polarization intensity joint imaging for marine target automatic recognition |
| topic | polarization imaging image fusion image super-resolution marine target recognition |
| url | http://dx.doi.org/10.1080/10106049.2023.2204059 |
| work_keys_str_mv | AT aiqizhong polarizationintensityjointimagingformarinetargetautomaticrecognition AT qiangfu polarizationintensityjointimagingformarinetargetautomaticrecognition AT danfeihuang polarizationintensityjointimagingformarinetargetautomaticrecognition AT jingpingzhu polarizationintensityjointimagingformarinetargetautomaticrecognition AT huilinjiang polarizationintensityjointimagingformarinetargetautomaticrecognition |