Integration of case-based reasoning and object-based image classification to classify SPOT images: a case study of aquaculture land use mapping in coastal areas of Guangdong province, China
文献类型：SCI/SSCI论文
| 作者 | Du Y. Y. ; Wu D. ; Liang F. Y. ; Li C. |
| 发表日期 | 2013 |
| 关键词 | object-based classification case-based reasoning aquaculture land use mapping conterminous united-states remotely-sensed data cover classification segmentation accuracy tool multiresolution completion algorithms database |
| 英文摘要 | We present a method to integrate case-based reasoning (CBR) with object-oriented image classification to classify SPOT images. Images were first segmented into discrete objects at multiple scales. CBR was then used to classify these objects by comparing their geometric shapes, spectral characteristics, and textural measurements with those of the past objects prepared from archived SPOT images and land use data. Once enough past objects were accumulated, this method was able to successfully classify image objects with promising results as demonstrated by a case study of aquaculture land use mapping in coastal areas of Guangdong province, China. |
| 出处 | Giscience & Remote Sensing |
| 卷 | 50 |
| 期 | 5 |
| 页 | 574-589 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1548-1603 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30593]  |
| 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 | Du Y. Y.,Wu D.,Liang F. Y.,et al. Integration of case-based reasoning and object-based image classification to classify SPOT images: a case study of aquaculture land use mapping in coastal areas of Guangdong province, China. 2013. |
入库方式： OAI收割
来源：地理科学与资源研究所
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