期刊論文
| 學年 | 106 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2017-09-14 |
| 作品名稱 | Structure From Motion Technique for Scene Detection Using Autonomous Drone Navigation. |
| 作品名稱（其他語言） | |
| 著者 | Y.-P. Huang; L. Sithole; T.-T. Lee |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | IEEE Transactions on Systems, Man, and Cybernetics: Systems, p.1-12. |
| 摘要 | Abstract: A method is presented for scene detection and estimation using high-resolution imagery acquired through autonomous drone navigation aided with landmark detection and recognition. The proposed system comprises a drone platform that facilitates efficient autonomous flight; it can capture images and provide real-time video streaming of the ground cover using a camera equipped with a 14-megapixel CMOS sensor and a fish-eye lens. In addition, landmark detection and recognition was performed by applying the histogram of oriented gradients and linear support vector machine methods on each frame of the video stream. The high spatial resolution of the acquired drone images makes the detection and interpretation of environments less complicated. First, through image processing, orthomosaic images and 3-D environment reconstruction (point clouds) of the scene are generated from a set of drone images by using an automatic photogrammetric technique called ``structure from motion.'' Subsequently, an unsupervised classification method is used to detect and differentiate environmental classes (scene interpretation) in the target or investigated area by using the high-resolution images. Finally, the results of the proposed method are evaluated by comparing them against ground-truth points. |
| 關鍵字 | Drones;Feature extraction;Streaming media;Cameras;Three-dimensional displays;Global Positioning System |
| 語言 | en_US |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112695 ) |