Normalization of time series DMSP-OLS nighttime light images for urban growth analysis with Pseudo Invariant Features
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- 作者：Ye Weia ; weiy742@nenu.edu.cn" class="auth_mail ; Hongxing Liub ; hongxing.liu@uc.edu" class="auth_mail ; Wei Songc ; wei.song@louisville.edu" class="auth_mail ; Bailang Yud ; blyu@geo.ecnu.edu.cn" class="auth_mail ; Chunliang Xiua ; xiucl@nenu.edu.cn" class="auth_mail
- 关键词：DMSP-OLS nighttime light data ; Pseudo Invariant Features ; Normalization ; Urban detection threshold ; Central Liaoning urban agglomeration
- 刊名：Landscape and Urban Planning
- 出版年：August 2014
- 年：2014
- 卷：128
- 期：Complete
- 页码：1-13
- 全文大小：2882 K
文摘
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A technique for normalizing time series DMSP-OLS nighttime light data is proposed.
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Concept of desaturated Pseudo Invariant Features is proposed.
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Dividing time series into sub time series benefits to improve accuracy.
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The spatio-temporal evolution of Central Liaoning region in China is investigated.