全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

融合MODIS与Landsat数据生成高时间分辨率Landsat数据

Keywords: 遥感,图像处理,MODIS,Landsat,时空融合

Full-Text   Cite this paper   Add to My Lib

Abstract:

遥感数据时空融合技术是一种低空间分辨率影像与中空间分辨率影像在时间域和空间域的融合技术,利用遥感数据时空融合技术获得的融合影像既具备低空间分辨率影像的高时间分辨率特征,又具备中空间分辨率影像的高空间分辨率特征.提出了一种新的遥感数据时空融合方法(STDFA).该方法从时序MODIS数据中提取地物的时间变化信息,结合早期Landsat-TM影像的纹理信息,融合出具有MODIS时间分辨率和TM空间分辨率的影像.以江苏省南京市江宁区为研究区,以Landsat红波段和近红外波段为融合波段,对该方法进行了测试.结果显示,该方法能够产生高精度的中空间分辨率影像,融合影像与真实影像间的相关系数达到0.939.融合影像计算的NDVI与真实中空间分辨率影像计算的NDVI间的相关性达到0.938.

References

[1]  Zhukov S;Oertel D;Lanzl F,Unmixing-based multisensor multiresolution image fusion,IEEE Transactions on Geoscience and Remote Sensing,1999.
[2]  Cherechali S;Amram O;Flouzat G,Retrieval of temporal profiles of reflectances from simulated and real NOAAAVHRR data over heterogeneous landscapes,International Journal of Remote Sensing,2000.
[3]  Settle J J;Drake N A,Linear mixing and the estimation of groundcover proportion,International Journal of Remote Sensing,1993.
[4]  Gao F;Masek J;Schwaller M,On the blending of the Landsat and MODIS surface reflectance:Predicting daily Landsat surface reflectance,IEEE Transactions on Geoscience and Remote Sensing,2006.
[5]  Lunetta R S;Lyon J G;Guindon B,North Americal landscape characterization dataset development and fusion issues,Photogram Metric Engineering and Remote Sensing,1998.
[6]  Ray T W;Murray B C,Nonlinear spectral mixing in desert vegetation,Remote Sensing of Environment,1996.
[7]  Thomas Hilker;Michael A Wulder;Nicholas C Coops,A new data fusion model for high spatial-and temporalresolution mapping of forest disturbance based on Landsat and MODIS,Remote Sensing of Environment,2009.
[8]  Lorenzo Busetto;Michele Meronib;Roberto Colombo,Combining medium and coarse spatial resolution satellite data to improve the estimation of sub-pixel NDVI time series,Remote Sensing of Environment,2008.
[9]  Maselli F.,Definition of spatially variable spectral endmembers by locally calibrated multivariate regression analyses,Remote Sensing of Environment?,2001, 75(1).

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133