| Integrating pan-sharpening and classifier ensemble techniques to map an invasive plant (Spartina alterniflora) in an estuarine wetland using Landsat 8 imagery | |
Ai, JQ; Gao, W; Gao, ZQ ; Shi, RH; Zhang, C; Liu, CS; Shi, RH (reprint author), E China Normal Univ, Coll Geog Sci, Shanghai 200241, Peoples R China.
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| 发表期刊 | JOURNAL OF APPLIED REMOTE SENSING
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| ISSN | 1931-3195 |
| 2016-04-07 | |
| 卷号 | 10期号:2页码:026001 |
| 关键词 | Invasive Wetland Plant Estuarine Data Fusion Image Classification Landsat S. Alterniflora |
| DOI | 10.1117/1.JRS.10.026001 |
| 产权排序 | [Ai, Jinquan; Gao, Wei; Shi, Runhe; Zhang, Chao; Liu, Chaoshun] E China Normal Univ, Coll Geog Sci, Shanghai 200241, Peoples R China; [Ai, Jinquan; Gao, Wei; Shi, Runhe; Zhang, Chao; Liu, Chaoshun] E China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai 200241, Peoples R China; [Gao, Wei] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA; [Gao, Zhiqiang] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China |
| 作者部门 | 海岸带信息集成与综合管理实验室 |
| 英文摘要 | Accurate mapping of invasive species in a cost-effective way is the first step toward understanding and predicting the impact of their invasions. However, it is challenging in coastal wetlands due to confounding effects of biodiversity and tidal effects on spectral reflectance. The aim of this work is to describe a method to improve the accuracy of mapping an invasive plant (Spartina alterniflora), which is based on integration of pan-sharpening and classifier ensemble techniques. A framework was designed to achieve this goal. Five candidate image fusion algorithms, including principal component analysis fusion algorithm, modified intensity-huesaturation fusion algorithm, wavelet-transform fusion algorithm, Ehlers fusion algorithm, and Gram-Schmidt fusion algorithm, were applied to pan-sharpening Landsat 8 operational land imager (OLI) imagery. We assessed the five fusion algorithms with respect to spectral and spatial fidelity using visual inspection and quantitative quality indicators. The optimal fused image was selected for subsequent analysis. Then, three classifiers, namely, maximum likelihood, artificial neural network, and support vector machine, were employed to preclassify the fused and raw OLI 30-m band images. Final object-based S. alterniflora maps were generated through classifier ensemble analysis of outcomes from the three classifiers. The results showed that the introduced method obtained high classification accuracy, with an overall accuracy of 90.96% and balanced misclassification errors between S. alterniflora and its coexistent species. We recommend future research to adopt the proposed method for monitoring long-term or multiseasonal changes in land coverage of invasive wetland plants. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) |
| 文章类型 | Article |
| 资助机构 | Ministry of Science and Technology(2014FY210600) ; Chinese Academy of Sciences(XDA11020702 ; National Nature Science Foundation of China(31500392 ; State Key Laboratory of Estuarine and Coastal Research(SKLEC-KF201411) ; Shanghai Municipal Commission of Science and Technology(15DZ1207805) ; Health and Family Planning(15GWZK0201) ; SKLEC ; KZZD-EW-14) ; 41571083) |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | SPATIAL-DISTRIBUTION ; CHONGMING DONGTAN ; COVER CHANGE ; SALT-MARSH ; VEGETATION ; SUPPORT ; CHINA ; ALGORITHMS ; ACCURACY ; MACHINE |
| 研究领域[WOS] | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000375658700001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/17062 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 中国科学院海岸带环境过程与生态修复重点实验室 |
| 通讯作者 | Shi, RH (reprint author), E China Normal Univ, Coll Geog Sci, Shanghai 200241, Peoples R China. |
| 作者单位 | 1.E China Normal Univ, Coll Geog Sci 2.E China Normal Univ, Minist Educ, Key Lab Geog Informat Sci 3.Colorado State Univ, Nat Resource Ecol Lab 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res |
| 推荐引用方式 GB/T 7714 | Ai, JQ,Gao, W,Gao, ZQ,et al. Integrating pan-sharpening and classifier ensemble techniques to map an invasive plant (Spartina alterniflora) in an estuarine wetland using Landsat 8 imagery[J]. JOURNAL OF APPLIED REMOTE SENSING,2016,10(2):026001. |
| APA | Ai, JQ.,Gao, W.,Gao, ZQ.,Shi, RH.,Zhang, C.,...&Shi, RH .(2016).Integrating pan-sharpening and classifier ensemble techniques to map an invasive plant (Spartina alterniflora) in an estuarine wetland using Landsat 8 imagery.JOURNAL OF APPLIED REMOTE SENSING,10(2),026001. |
| MLA | Ai, JQ,et al."Integrating pan-sharpening and classifier ensemble techniques to map an invasive plant (Spartina alterniflora) in an estuarine wetland using Landsat 8 imagery".JOURNAL OF APPLIED REMOTE SENSING 10.2(2016):026001. |
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