Comparison of two object-oriented technologies for detecting land use change
文献类型：期刊论文
| 作者 | Luo, Kaisheng1,2; Moiw, Juana P.3 |
| 刊名 | ARABIAN JOURNAL OF GEOSCIENCES
 |
| 出版日期 | 2021-01-06 |
| 卷号 | 14期号:1页码:11 |
| 关键词 | Object-oriented technique Change detection Land use Landsat imagery |
| ISSN号 | 1866-7511 |
| DOI | 10.1007/s12517-020-06307-5 |
| 通讯作者 | Luo, Kaisheng(993814987@qq.com) |
| 英文摘要 | This study compared two object-oriented land use change detection methods, namely detection after classification (DAC) and classification after detection (CAD) using digital elevation model, slope data, multi-temporal Thematic Mapper (TM) images in 2000 and Enhanced TM Plus images (ETM+) in 2010. Results revealed that the accuracy of the former was higher than that of the latter. A minimal discrepancy was observed in the accuracies of the two methods in detecting deciduous broad-leaved, evergreen coniferous and mixed forests; uplands; paddies; bare lands and human habitation, which can be extracted using spectral indices due to large spectrum differences. The accuracy of DAC was higher than that of CAD for areas with similar spectra, such as industrial and traffic lands, green shrubs, rivers, channels, reservoirs/pools and lake, because the former can fully utilise various information, including spectral, spatial, structural, textural and contextual information, during the two-stage classification. Moreover, the change area boundary was not limited and adjustable during the classification process. DAC can overcome the smoothing effect to a great extent using multi-scale segmentations and multiple indicators for detection. Although DAC can yield better results than CAD can, the former was more time-consuming than the latter because of its two-stage classification. Therefore, the hybrid of the two methods could be the appropriate approach. |
| 资助项目 | Independent Deployment Foundation of the Chongqing Institute of Green and Intelligent Technology, CAS[E0556201] ; National Natural Science Foundation of China[41801200] ; Foundation of Ministry of Culture and Tourism of China[18TAAG018] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000608041800019 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/12719]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Luo, Kaisheng |
| 作者单位 | 1.Univ Chinese Acad Sci, Chongqing Sch, Chongqing, Peoples R China 2.Chinese Acad Sci, Smart Watershed Res Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China 3.Njala Univ, Sch Technol, Dept Agr Engn, Bo, Sierra Leone |
| 推荐引用方式 GB/T 7714 | Luo, Kaisheng,Moiw, Juana P.. Comparison of two object-oriented technologies for detecting land use change[J]. ARABIAN JOURNAL OF GEOSCIENCES,2021,14(1):11. |
| APA | Luo, Kaisheng,&Moiw, Juana P..(2021).Comparison of two object-oriented technologies for detecting land use change.ARABIAN JOURNAL OF GEOSCIENCES,14(1),11. |
| MLA | Luo, Kaisheng,et al."Comparison of two object-oriented technologies for detecting land use change".ARABIAN JOURNAL OF GEOSCIENCES 14.1(2021):11. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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