Radiometric normalization for multitemporal and multispectral high resolution satellite images using ordinal conversion
文献类型:会议论文
作者 | Xiaomin Yu; F. Benjamin Zhan; Jinxing Hu; Qin Zou |
出版日期 | 2010 |
会议名称 | 2010 18th International Conference on Geoinformatics, Geoinformatics 2010 |
英文摘要 | Radiometric normalization of multi-temporal satellite image is very important for change detection or image mosaic. In this paper, a simple and effective radiometric normalization approach is proposed for processing high resolution multispectral satellite images such as IKONOS or QuickBird. This approach involves three main steps: (1) extracting pixel values from image pairs, (2) sorting original pixel values of image pairs in ascending order, and (3) assigning each pixel a new value based on its reflectance value relative to all other pixels. The effectiveness of the proposed approach is confirmed with experimental results compared to other normalization methods |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/3138] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | 2010 |
推荐引用方式 GB/T 7714 | Xiaomin Yu,F. Benjamin Zhan,Jinxing Hu,et al. Radiometric normalization for multitemporal and multispectral high resolution satellite images using ordinal conversion[C]. 见:2010 18th International Conference on Geoinformatics, Geoinformatics 2010. |
入库方式: OAI收割
来源:深圳先进技术研究院
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。