Features based parcel unit extraction from high resolution image
文献类型：会议论文
| 作者 | Ming D. P. ; Luo J. C. ; Shen Z. F. ; Li J. L. ; Ieee |
| 出版日期 | 2005 |
| 关键词 | high resolution remote sensing information evraction parcel unit image segmentation feature |
| 页码 | 1875-1878 |
| 英文摘要 | This paper analyses the advantages of remote sensing image processing per-parcel compared to per-pixel; Based on huaman's visual mechanism and theory of scale spatial, this paper designs the technique flow of multi-scale information extraction from high resolution remote sensing images based on features: rough classification - parcel unit extraction expression of feature - ntelligent illation - information extraction or target recognition. Especially, this paper expatiates the work flow of block and linear parcel unit extraction in detail and gives tests with IKONOS and QUICKBIRD images. The test shows that the methods of this paper is convenient to integrating visual and environmental knowledge and can improve the level of automatization and intelligentization of remote sensing data process and application. |
| 收录类别 | CPCI |
| 会议录出版者 | Ieee |
| 语种 | 英语 |
| ISBN号 | 0-7803-9050-4 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/25231]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Ming D. P.,Luo J. C.,Shen Z. F.,et al. Features based parcel unit extraction from high resolution image[C]. 见:. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。