Polarization Orientation Method Based on Remote Sensing Image in Cloudy Weather
Autonomous navigation technology is a core technology for intelligent operation, allowing the vehicles to perform tasks without relying on external information, which effectively improves the concealability and reliability. In this paper, based on the previous research on the bionic compound eye, a...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/5/1225 |
| _version_ | 1797614448329883648 |
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| author | Jiasai Luo Sen Zhou Yiming Li Yu Pang Zhengwen Wang Yi Lu Huiqian Wang Tong Bai |
| author_facet | Jiasai Luo Sen Zhou Yiming Li Yu Pang Zhengwen Wang Yi Lu Huiqian Wang Tong Bai |
| author_sort | Jiasai Luo |
| collection | DOAJ |
| description | Autonomous navigation technology is a core technology for intelligent operation, allowing the vehicles to perform tasks without relying on external information, which effectively improves the concealability and reliability. In this paper, based on the previous research on the bionic compound eye, a multi-channel camera array with different polarization degrees was used to construct the atmospheric polarization state measurement platform. A polarization trough threshold segmentation algorithm was applied to study the distribution characteristics and characterization methods of polarization states in atmospheric remote sensing images. In the extracted polarization feature map, the tilting suggestion box was obtained based on the multi-direction window extraction network (similarity-based region proposal networks, SRPN) and the rotation of the suggestion box (Rotation Region of interests, RRoIs). Fast Region Convolutional Neural Networks (RCNN) was used to screen the suggestion boxes, and the Non-maximum suppression (NMS) method was used to select the angle, corresponding to the label of the suggestion box with the highest score, as the solar meridian azimuth in the vehicle coordinate system. The azimuth angle of the solar meridian in the atmospheric coordinate system can be calculated by the astronomical formula. Finally, the final heading angle can be obtained according to the conversion relationship between the coordinate systems. By fitting the measured data based on the least Square method, the slope K value is −1.062, RMSE (Root Mean Square Error) is 6.984, and the determination coefficient R-Square is 0.9968. Experimental results prove the effectiveness of the proposed algorithm, and this study can construct an autonomous navigation algorithm with high concealment and precision, providing a new research idea for the research of autonomous navigation technology. |
| first_indexed | 2024-03-11T07:12:21Z |
| format | Article |
| id | doaj.art-7e103999ef1440cbab4401e25a246690 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T07:12:21Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-7e103999ef1440cbab4401e25a2466902023-11-17T08:30:08ZengMDPI AGRemote Sensing2072-42922023-02-01155122510.3390/rs15051225Polarization Orientation Method Based on Remote Sensing Image in Cloudy WeatherJiasai Luo0Sen Zhou1Yiming Li2Yu Pang3Zhengwen Wang4Yi Lu5Huiqian Wang6Tong Bai7College of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaChongqing Academy of Metrology and Quality Inspection, Chongqing 401121, ChinaCollege of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaCollege of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaCollege of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaCollege of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaCollege of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaCollege of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaAutonomous navigation technology is a core technology for intelligent operation, allowing the vehicles to perform tasks without relying on external information, which effectively improves the concealability and reliability. In this paper, based on the previous research on the bionic compound eye, a multi-channel camera array with different polarization degrees was used to construct the atmospheric polarization state measurement platform. A polarization trough threshold segmentation algorithm was applied to study the distribution characteristics and characterization methods of polarization states in atmospheric remote sensing images. In the extracted polarization feature map, the tilting suggestion box was obtained based on the multi-direction window extraction network (similarity-based region proposal networks, SRPN) and the rotation of the suggestion box (Rotation Region of interests, RRoIs). Fast Region Convolutional Neural Networks (RCNN) was used to screen the suggestion boxes, and the Non-maximum suppression (NMS) method was used to select the angle, corresponding to the label of the suggestion box with the highest score, as the solar meridian azimuth in the vehicle coordinate system. The azimuth angle of the solar meridian in the atmospheric coordinate system can be calculated by the astronomical formula. Finally, the final heading angle can be obtained according to the conversion relationship between the coordinate systems. By fitting the measured data based on the least Square method, the slope K value is −1.062, RMSE (Root Mean Square Error) is 6.984, and the determination coefficient R-Square is 0.9968. Experimental results prove the effectiveness of the proposed algorithm, and this study can construct an autonomous navigation algorithm with high concealment and precision, providing a new research idea for the research of autonomous navigation technology.https://www.mdpi.com/2072-4292/15/5/1225polarization navigationremote sensing imagesSPRNRRoIs |
| spellingShingle | Jiasai Luo Sen Zhou Yiming Li Yu Pang Zhengwen Wang Yi Lu Huiqian Wang Tong Bai Polarization Orientation Method Based on Remote Sensing Image in Cloudy Weather Remote Sensing polarization navigation remote sensing images SPRN RRoIs |
| title | Polarization Orientation Method Based on Remote Sensing Image in Cloudy Weather |
| title_full | Polarization Orientation Method Based on Remote Sensing Image in Cloudy Weather |
| title_fullStr | Polarization Orientation Method Based on Remote Sensing Image in Cloudy Weather |
| title_full_unstemmed | Polarization Orientation Method Based on Remote Sensing Image in Cloudy Weather |
| title_short | Polarization Orientation Method Based on Remote Sensing Image in Cloudy Weather |
| title_sort | polarization orientation method based on remote sensing image in cloudy weather |
| topic | polarization navigation remote sensing images SPRN RRoIs |
| url | https://www.mdpi.com/2072-4292/15/5/1225 |
| work_keys_str_mv | AT jiasailuo polarizationorientationmethodbasedonremotesensingimageincloudyweather AT senzhou polarizationorientationmethodbasedonremotesensingimageincloudyweather AT yimingli polarizationorientationmethodbasedonremotesensingimageincloudyweather AT yupang polarizationorientationmethodbasedonremotesensingimageincloudyweather AT zhengwenwang polarizationorientationmethodbasedonremotesensingimageincloudyweather AT yilu polarizationorientationmethodbasedonremotesensingimageincloudyweather AT huiqianwang polarizationorientationmethodbasedonremotesensingimageincloudyweather AT tongbai polarizationorientationmethodbasedonremotesensingimageincloudyweather |