دورية أكاديمية
A NOVEL DENOISING ALGORITHM FOR AIRBORNE LIDAR POINT CLOUD BASED ON EMPIRICAL MODE DECOMPOSITION
| العنوان: | A NOVEL DENOISING ALGORITHM FOR AIRBORNE LIDAR POINT CLOUD BASED ON EMPIRICAL MODE DECOMPOSITION |
|---|---|
| المؤلفون: | Z. Hui, P. Cheng, L. Wang, Y. Xia, H. Hu, X. Li |
| المصدر: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 1021-1025 (2019) |
| بيانات النشر: | Copernicus Publications, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Applied optics. Photonics |
| مصطلحات موضوعية: | Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820 |
| الوصف: | Denoising is a key pre-processing step for many airborne LiDAR point cloud applications. However, the previous algorithms have a number of problems, which affect the quality of point cloud post-processing, such as DTM generation. In this paper, a novel automated denoising algorithm is proposed based on empirical mode decomposition to remove outliers from airborne LiDAR point cloud. Comparing with traditional point cloud denoising algorithms, the proposed method can detect outliers from a signal processing perspective. Firstly, airborne LiDAR point clouds are decomposed into a series of intrinsic mode functions with the help of morphological operations, which would significantly decrease the computational complexity. By applying OTSU algorithm to these intrinsic mode functions, noise-dominant components can be detected and filtered. Finally, outliers are detected automatically by comparing observed elevations and reconstructed elevations. Three datasets located at three different cities in China were used to verify the validity and robustness of the proposed method. The experimental results demonstrate that the proposed method removes both high and low outliers effectively with various terrain features while preserving useful ground details. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1021-2019 1682-1750 2194-9034 |
| Relation: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1021/2019/isprs-archives-XLII-2-W13-1021-2019.pdf; https://doaj.org/toc/1682-1750; https://doaj.org/toc/2194-9034 |
| DOI: | 10.5194/isprs-archives-XLII-2-W13-1021-2019 |
| URL الوصول: | https://doaj.org/article/b99570bc3e204dbd9769bf3aba9cb3b7 |
| رقم الأكسشن: | edsdoj.b99570bc3e204dbd9769bf3aba9cb3b7 |
| قاعدة البيانات: | Directory of Open Access Journals |
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