Optimization of post-classification processing of high-resolution satellite image: A case study
文献类型：期刊论文
| 作者 | Dong Rencai; Dong Jiajia; Wu Gang; Deng Hongbing |
| 刊名 | SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
 |
| 出版日期 | 2006 |
| 卷号 | 49期号:1页码:98-107 |
| 关键词 | ecological construction soil and water conservation measure high spatial resolution satellite image image post-processing majority filter |
| 英文摘要 | The application of remote sensing monitoring techniques plays a crucial role in evaluating and governing the vast amount of ecological construction projects in China. However, extracting information of ecological engineering target through high-resolution satellite image is arduous due to the unique topography and complicated spatial pattern on the Loess Plateau of China. As a result, enhancing classification accuracy is a huge challenge to high-resolution image processing techniques. Image processing techniques have a definitive effect on image properties and the selection of different parameters may change the final classification accuracy during post-classification processing. The common method of eliminating noise and smoothing image is majority filtering. However, the filter function may modify the original classified image and the final accuracy. The aim of this study is to develop an efficient and accurate post-processing technique for acquiring information of soil and water conservation engineering, on the Loess Plateau of China, using SPOT image with 2.5 m resolution. We argue that it is vital to optimize satellite image filtering parameters for special areas and purposes, which focus on monitoring ecological construction projects. We want to know how image filtering influences final classified results and which filtering kernel is optimum. The study design used a series of window sizes to filter the original classified image, and then assess the accuracy of each output map and image quality. We measured the relationship between filtering window size and classification accuracy, and optimized the post-processing techniques of SPOT5 satellite images. We conclude that (1) smoothing with the majority Mer is sensitive to the information accuracy of soil and water conservation engineering, and (2) for SPOT5 2.5 m image, the 5x5 pixel majority filter is most suitable kernel for extracting information of ecological construction sites in the Loess Plateau of China. |
| WOS记录号 | WOS:000240203200011 |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/22793]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Dong Rencai,Dong Jiajia,Wu Gang,et al. Optimization of post-classification processing of high-resolution satellite image: A case study[J]. SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES,2006,49(1):98-107. |
| APA | Dong Rencai,Dong Jiajia,Wu Gang,&Deng Hongbing.(2006).Optimization of post-classification processing of high-resolution satellite image: A case study.SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES,49(1),98-107. |
| MLA | Dong Rencai,et al."Optimization of post-classification processing of high-resolution satellite image: A case study".SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES 49.1(2006):98-107. |
入库方式： OAI收割
来源：生态环境研究中心
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