Information extraction from high resolution remote sensing image and parcel unit extraction based on features
文献类型：EI期刊论文
| 作者 | Ming Dong-Ping ; Luo Jian-Cheng ; Zhou Cheng-Hu ; Wang Min ; Zheng Jiang ; Chen Qiu-Xiao ; Shen Zhan-Feng |
| 发表日期 | 2005 |
| 英文摘要 | The advantages of remote sensing image process based on per-parcel are analyzed compared to the per-pixel. Based on huaman's visual mechanism and theory of the 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-intelligent illation-information extraction or target recognition. Especially, this paper presents the technical route of parcel unit extraction and gives an experiment with IKONOS and QUICKBIRD images. Experiment shows that the methods is convenient to integrating visual and environmental knowledge and can improve the level of automatization and intelligentization of remote sensing data process and application. |
| 出处 | Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing
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| 卷 | 20期:1页:34-39 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/24685]  |
| 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 Dong-Ping,Luo Jian-Cheng,Zhou Cheng-Hu,et al. Information extraction from high resolution remote sensing image and parcel unit extraction based on features. 2005. |
入库方式： OAI收割
来源：地理科学与资源研究所
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