研究資料首頁-> 研討會論文
研究資料明細
| 論文名稱 | Evaluation of Computational Efficiency on Image-Block Cutting Area in Stitching Orthophoto |
| 研討會開始日期 | 2017-05-13 |
| 研討會結束日期 | 2017-05-17 |
| 所有作者 | Chin-Feng Tsai、Cai-Yun Tsou、Yi-Chen Hung、Jie-Yi Lee、Ya-Ting Hsu、Wen-Hs Lin、Ting-Wen Liang |
| 作者順序 | 第四(以上)作者 |
| 通訊作者 | 是 |
| 研討會名稱 | The 2017 IEEE International Conference on Applied System Innovation (IEEE ICASI 2017) |
| 是否具有對外公開徵稿及審稿制度 | 是 |
| 研討會舉行之國家 | NATJPN-日本 |
| 研討會舉行之城市 | Sapporo |
| 發表年份 | 2017 |
| 所屬計劃案 | 無 |
| 可公開文檔 |
|
| 可公開文檔 | |
| 可公開文檔 |
[英文摘要] :
Orthophoto with measurable and contain more geographic information, which compare with the tradition map, Its application is gradually expanding. The aerial image was got by the center projection, Owing to this characteristic, the aerial image of the pixel was shifted. The DEM which constructed by dense point cloud to
correct the relief displacement and generate the orthophoto image. However, the density cloud generated in image processing spent the most of the time. How to reduce and estimate is the aim on this paper.
In this paper, the aerial photographs are segmented by spatial-temporal correlation, and the local orthophoto images are generated. The experimental results show that there is a linear correlation between the number of images and the time of cloud generation. It is possible to estimate the generation time of the density cloud, and the area after the block cutting is reduced, the blocks can be processed in parallel and the hardware specifications can be reduced.
