太阳成8722(中国)有限公司-GREEN NO.1

标题：A spatial and temporal reflectance fusion model considering sensor observation differences作者：Shen, Huanfeng;Wu, Penghai; Liu, Yaolin; Ai, Tinghua; Wang, Yi; Liu,Xiaoping

来源出版物：INTERNATIONAL JOURNAL OF REMOTE SENSING 卷：34 期：12 页：4367-4383出版年：JUN 20 2013

摘要：This article proposes a spatialtemporal expansion method for remote-sensing reflectance by blending observations from sensors with different spatial and temporal characteristics. Compared with the methods used in the past, the main characteristic of the proposed method is consideration of sensor observation differences between different cover types when calculating the weight function of the fusion model. The necessity of the temporal difference factor commonly used in spatialtemporal fusion is also analysed in this article. The method was tested and quantitatively assessed under different landscape situations. The results indicate that the proposed fusion method improves the prediction accuracy of fine-resolution reflectance.

入藏号：000316395000013

文献类型：Article

语种：English

扩展关键词：LANDSAT SURFACE REFLECTANCE; MULTISENSOR IMAGE FUSION; TIME-SERIES; MODIS; RESOLUTION

通讯作者地址：Shen, Huanfeng;Wuhan Univ, Dept Map Sci & Geog Informat Engn, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

电子邮件地址：shenhf@whu.edu.cn

地址：

[Shen, Huanfeng; Wu, Penghai; Liu, Yaolin; Ai, Tinghua] Wuhan Univ, Dept Map Sci & Geog Informat Engn, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

[Wang, Yi] ChinaUniv Geosci, Dept Geoinformat Sci & Technol,Wuhan430074, Peoples RChina.

[Liu, Xiaoping] Sun Yat Sen Univ, Dept Remote Sensing & *Geog* Informat Engn, Sch Geog & Planning,Guangzhou510275,Guangdong, Peoples RChina.

研究方向：Remote Sensing; Imaging Science & Photographic Technology

ISSN：0143-1161