Key Frame Extraction of Multi-Resolution Remote Sensing Images Under Quality Constraint
In key frame extraction of multi-resolution remote sensing image using traditional key frame image feature extraction method, only the feature information of remote sensing images, rather than cluster operation of the remote sensing images is considered, which leads to low efficiency and poor qualit...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2019-12-01
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| Series: | Open Physics |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/phys-2019-0092 |
| _version_ | 1819117049822052352 |
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| author | Liu Yijun Zhang Ziwen Li Feng |
| author_facet | Liu Yijun Zhang Ziwen Li Feng |
| author_sort | Liu Yijun |
| collection | DOAJ |
| description | In key frame extraction of multi-resolution remote sensing image using traditional key frame image feature extraction method, only the feature information of remote sensing images, rather than cluster operation of the remote sensing images is considered, which leads to low efficiency and poor quality of extraction results. To this end, the key frame extraction algorithm of multi-resolution remote sensing image under quality constraint was proposed. Through similarity between image features and the selected image frame, rough key frame can be extracted. On this basis, the key frame extraction of multi resolution remote sensing image based on quality constraints was used to perform clustering operation for multi-resolution remote sensing image corresponding to rough key frame, which shortened the time length for retrieval of key frame image. According to the clustering results, multi-resolution remote sensing images were divided into several clusters. The key frame of each cluster can be obtained by calculating the distance between remote sensing image and cluster center. For key frames that had been determined, their quality was evaluated to meet standard, so as to realize effective extraction of key frame of multi-resolution remote sensing images. The experimental results show that the proposed method can significantly improve the quality of key frame extraction of multi-resolution remote sensing images. |
| first_indexed | 2024-12-22T05:26:48Z |
| format | Article |
| id | doaj.art-17e2138cd71746139ba8263dffe907e4 |
| institution | Directory Open Access Journal |
| issn | 2391-5471 |
| language | English |
| last_indexed | 2024-12-22T05:26:48Z |
| publishDate | 2019-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Physics |
| spelling | doaj.art-17e2138cd71746139ba8263dffe907e42022-12-21T18:37:34ZengDe GruyterOpen Physics2391-54712019-12-0117187187810.1515/phys-2019-0092phys-2019-0092Key Frame Extraction of Multi-Resolution Remote Sensing Images Under Quality ConstraintLiu Yijun0Zhang Ziwen1Li Feng2School of Information Engineering, Guangdong University of Technology, Guangzhou510006, ChinaSchool of Information Engineering, Guangdong University of Technology, Guangzhou510006, ChinaSchool of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou510665, ChinaIn key frame extraction of multi-resolution remote sensing image using traditional key frame image feature extraction method, only the feature information of remote sensing images, rather than cluster operation of the remote sensing images is considered, which leads to low efficiency and poor quality of extraction results. To this end, the key frame extraction algorithm of multi-resolution remote sensing image under quality constraint was proposed. Through similarity between image features and the selected image frame, rough key frame can be extracted. On this basis, the key frame extraction of multi resolution remote sensing image based on quality constraints was used to perform clustering operation for multi-resolution remote sensing image corresponding to rough key frame, which shortened the time length for retrieval of key frame image. According to the clustering results, multi-resolution remote sensing images were divided into several clusters. The key frame of each cluster can be obtained by calculating the distance between remote sensing image and cluster center. For key frames that had been determined, their quality was evaluated to meet standard, so as to realize effective extraction of key frame of multi-resolution remote sensing images. The experimental results show that the proposed method can significantly improve the quality of key frame extraction of multi-resolution remote sensing images.https://doi.org/10.1515/phys-2019-0092quality constraintmulti resolutionremote sensing imagekey frameextractionclustering operation42.68.wt68.43.hn |
| spellingShingle | Liu Yijun Zhang Ziwen Li Feng Key Frame Extraction of Multi-Resolution Remote Sensing Images Under Quality Constraint Open Physics quality constraint multi resolution remote sensing image key frame extraction clustering operation 42.68.wt 68.43.hn |
| title | Key Frame Extraction of Multi-Resolution Remote Sensing Images Under Quality Constraint |
| title_full | Key Frame Extraction of Multi-Resolution Remote Sensing Images Under Quality Constraint |
| title_fullStr | Key Frame Extraction of Multi-Resolution Remote Sensing Images Under Quality Constraint |
| title_full_unstemmed | Key Frame Extraction of Multi-Resolution Remote Sensing Images Under Quality Constraint |
| title_short | Key Frame Extraction of Multi-Resolution Remote Sensing Images Under Quality Constraint |
| title_sort | key frame extraction of multi resolution remote sensing images under quality constraint |
| topic | quality constraint multi resolution remote sensing image key frame extraction clustering operation 42.68.wt 68.43.hn |
| url | https://doi.org/10.1515/phys-2019-0092 |
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