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| Title | Building detection using airborne full-waveform LiDAR data |
| Creator | Tang, S.-M.;Liao, S.-J.;Lin, Shih-Yuan 林士淵 |
| Contributor | 地政學系 |
| Key Words | Airborne Laser scanning; Building detection; Extracting buildings; Forest area; Full-waveforms; Laser point; Laser scanning; Wave forms; Backscattering; Forestry; Laser applications; Optical radar; Remote sensing; Vegetation; Buildings; Buildings; Forestry; Plants; Radar; Remote Sensing |
| Date | 2012 |
| Date Issued | 10-Apr-2015 16:34:33 (UTC+8) |
| Summary | Different from the traditional discrete airborne laser scanning (ALS) systems, the latest airborne full-waveform laser scanning is capable of recording complete waveform of backscattering pulses. Through this property, it becomes more possible to detect objects lying on the path of laser pulse and capture additional information about targets, and therefore such system has been applied to detect objects covered by thick forests or vegetation. In this study we focus on extracting buildings from laser point clouds in forest areas. To this purpose, we firstly indicated possible position of buildings from first echo data. Waveform indicators were subsequently applied to classify points of buildings from all points. The waveform indicators we took into account were the amplitude, the echo width and the backscatter cross-section. At last, a classification strategy using the information derived from full-waveform LiDAR data was developed to distinguish building and vegetation points. The overall building points were derived. |
| Relation | 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 |
| Type | conference |
| dc.contributor | 地政學系 | |
| dc.creator (作者) | Tang, S.-M.;Liao, S.-J.;Lin, Shih-Yuan | |
| dc.creator (作者) | 林士淵 | zh_TW |
| dc.date (日期) | 2012 | |
| dc.date.accessioned | 10-Apr-2015 16:34:33 (UTC+8) | - |
| dc.date.available | 10-Apr-2015 16:34:33 (UTC+8) | - |
| dc.date.issued (上傳時間) | 10-Apr-2015 16:34:33 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/74470 | - |
| dc.description.abstract (摘要) | Different from the traditional discrete airborne laser scanning (ALS) systems, the latest airborne full-waveform laser scanning is capable of recording complete waveform of backscattering pulses. Through this property, it becomes more possible to detect objects lying on the path of laser pulse and capture additional information about targets, and therefore such system has been applied to detect objects covered by thick forests or vegetation. In this study we focus on extracting buildings from laser point clouds in forest areas. To this purpose, we firstly indicated possible position of buildings from first echo data. Waveform indicators were subsequently applied to classify points of buildings from all points. The waveform indicators we took into account were the amplitude, the echo width and the backscatter cross-section. At last, a classification strategy using the information derived from full-waveform LiDAR data was developed to distinguish building and vegetation points. The overall building points were derived. | |
| dc.format.extent | 176 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 | |
| dc.subject (關鍵詞) | Airborne Laser scanning; Building detection; Extracting buildings; Forest area; Full-waveforms; Laser point; Laser scanning; Wave forms; Backscattering; Forestry; Laser applications; Optical radar; Remote sensing; Vegetation; Buildings; Buildings; Forestry; Plants; Radar; Remote Sensing | |
| dc.title (題名) | Building detection using airborne full-waveform LiDAR data | |
| dc.type (資料類型) | conference | en |