Bamboo classification using worldview-2 imagery of giant panda habitat in a large shaded area in wolong, Sichuan province, China
文献类型：期刊论文
| 作者 | Tang, Yunwei1; Jing, Linhai1; Li, Hui1; Liu, Qingjie1; Yan, Qi1; Li, Xiuxia1 |
| 刊名 | Sensors (Switzerland)
 |
| 出版日期 | 2016 |
| 卷号 | 16期号:11 |
| 关键词 | GLOBAL SOLAR-RADIATION DAILY EVAPOTRANSPIRATION BRIGHT SUNSHINE MODELS EGYPT |
| 通讯作者 | Tang, Yunwei (tangyw@radi.ac.cn) |
| 英文摘要 | This study explores the ability of WorldView-2 (WV-2) imagery for bamboo mapping in a mountainous region in Sichuan Province, China. A large area of this place is covered by shadows in the image, and only a few sampled points derived were useful. In order to identify bamboos based on sparse training data, the sample size was expanded according to the reflectance of multispectral bands selected using the principal component analysis (PCA). Then, class separability based on the training data was calculated using a feature space optimization method to select the features for classification. Four regular object-based classification methods were applied based on both sets of training data. The results show that the k-nearest neighbor (k-NN) method produced the greatest accuracy. A geostatistically-weighted k-NN classifier, accounting for the spatial correlation between classes, was then applied to further increase the accuracy. It achieved 82.65% and 93.10% of the producer’s and user’s accuracies respectively for the bamboo class. The canopy densities were estimated to explain the result. This study demonstrates that the WV-2 image can be used to identify small patches of understory bamboos given limited known samples, and the resulting bamboo distribution facilitates the assessments of the habitats of giant pandas. © 2016 by the authors; licensee MDPI, Basel, Switzerland. |
| 学科主题 | Chemistry; Electrochemistry; Instruments & Instrumentation |
| 类目[WOS] | Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20164803070191 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39295]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Key Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 2.100094, China 3. School of Geography, Beijing Normal University, No. 19 Xinjiekou Wai Street, Beijing 4.100875, China |
| 推荐引用方式 GB/T 7714 | Tang, Yunwei,Jing, Linhai,Li, Hui,et al. Bamboo classification using worldview-2 imagery of giant panda habitat in a large shaded area in wolong, Sichuan province, China[J]. Sensors (Switzerland),2016,16(11). |
| APA | Tang, Yunwei,Jing, Linhai,Li, Hui,Liu, Qingjie,Yan, Qi,&Li, Xiuxia.(2016).Bamboo classification using worldview-2 imagery of giant panda habitat in a large shaded area in wolong, Sichuan province, China.Sensors (Switzerland),16(11). |
| MLA | Tang, Yunwei,et al."Bamboo classification using worldview-2 imagery of giant panda habitat in a large shaded area in wolong, Sichuan province, China".Sensors (Switzerland) 16.11(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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