Accurate Extraction of Cableways Based on the LS-PCA Combination Analysis Method
In order to maintain a ski resort efficiently, regular inspections of the cableways are essential. However, there are some difficulties in discovering and observing the cable car cableways in the ski resort. This paper proposes a high-precision segmentation and extraction method based on the 3D lase...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/5/2875 |
| _version_ | 1827753064098955264 |
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| author | Wenxin Wang Changming Zhao Haiyang Zhang |
| author_facet | Wenxin Wang Changming Zhao Haiyang Zhang |
| author_sort | Wenxin Wang |
| collection | DOAJ |
| description | In order to maintain a ski resort efficiently, regular inspections of the cableways are essential. However, there are some difficulties in discovering and observing the cable car cableways in the ski resort. This paper proposes a high-precision segmentation and extraction method based on the 3D laser point cloud data collected by airborne lidar to address these problems. In this method, first, an elevation filtering algorithm is used to remove ground points and low-height vegetation, followed by preliminary segmentation of the cableway using the spatial distribution characteristics of the point cloud. The ropeway segmentation and extraction are then completed using the least squares-principal component combination analysis method for parameter fitting. Additionally, we selected three samples of data from the National Alpine Ski Center to be used as test objects. The real value is determined by the number of point clouds manually deducted by CloudCompare. The extraction accuracy is defined as the ratio of the number of point clouds extracted by the algorithm to the number of point clouds manually extracted. While the environmental complexities of the samples differ, the algorithm proposed in this paper is capable of segmenting and extracting cableways with great accuracy, achieving a comprehensive and effective extraction accuracy rate of 90.59%, which is sufficient to meet the project’s requirements. |
| first_indexed | 2024-03-11T07:31:48Z |
| format | Article |
| id | doaj.art-62afe46f686443b9ab784505cbe0200b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T07:31:48Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-62afe46f686443b9ab784505cbe0200b2023-11-17T07:16:15ZengMDPI AGApplied Sciences2076-34172023-02-01135287510.3390/app13052875Accurate Extraction of Cableways Based on the LS-PCA Combination Analysis MethodWenxin Wang0Changming Zhao1Haiyang Zhang2Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education, Beijing 100081, ChinaKey Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education, Beijing 100081, ChinaKey Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education, Beijing 100081, ChinaIn order to maintain a ski resort efficiently, regular inspections of the cableways are essential. However, there are some difficulties in discovering and observing the cable car cableways in the ski resort. This paper proposes a high-precision segmentation and extraction method based on the 3D laser point cloud data collected by airborne lidar to address these problems. In this method, first, an elevation filtering algorithm is used to remove ground points and low-height vegetation, followed by preliminary segmentation of the cableway using the spatial distribution characteristics of the point cloud. The ropeway segmentation and extraction are then completed using the least squares-principal component combination analysis method for parameter fitting. Additionally, we selected three samples of data from the National Alpine Ski Center to be used as test objects. The real value is determined by the number of point clouds manually deducted by CloudCompare. The extraction accuracy is defined as the ratio of the number of point clouds extracted by the algorithm to the number of point clouds manually extracted. While the environmental complexities of the samples differ, the algorithm proposed in this paper is capable of segmenting and extracting cableways with great accuracy, achieving a comprehensive and effective extraction accuracy rate of 90.59%, which is sufficient to meet the project’s requirements.https://www.mdpi.com/2076-3417/13/5/2875ropeway of cable caradaptationsegmentation and extractionspatial distribution characteristicsleast squares-principal component analysisextraction accuracy |
| spellingShingle | Wenxin Wang Changming Zhao Haiyang Zhang Accurate Extraction of Cableways Based on the LS-PCA Combination Analysis Method Applied Sciences ropeway of cable car adaptation segmentation and extraction spatial distribution characteristics least squares-principal component analysis extraction accuracy |
| title | Accurate Extraction of Cableways Based on the LS-PCA Combination Analysis Method |
| title_full | Accurate Extraction of Cableways Based on the LS-PCA Combination Analysis Method |
| title_fullStr | Accurate Extraction of Cableways Based on the LS-PCA Combination Analysis Method |
| title_full_unstemmed | Accurate Extraction of Cableways Based on the LS-PCA Combination Analysis Method |
| title_short | Accurate Extraction of Cableways Based on the LS-PCA Combination Analysis Method |
| title_sort | accurate extraction of cableways based on the ls pca combination analysis method |
| topic | ropeway of cable car adaptation segmentation and extraction spatial distribution characteristics least squares-principal component analysis extraction accuracy |
| url | https://www.mdpi.com/2076-3417/13/5/2875 |
| work_keys_str_mv | AT wenxinwang accurateextractionofcablewaysbasedonthelspcacombinationanalysismethod AT changmingzhao accurateextractionofcablewaysbasedonthelspcacombinationanalysismethod AT haiyangzhang accurateextractionofcablewaysbasedonthelspcacombinationanalysismethod |