Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2010, Vol. 25 Issue (5): 604-608    DOI: 10.11873/j.issn.1004-0323.2010.5.604
article     
The Extracting of Multiscale Features of Remote Sensing Cloud Images Based on Gaussian Pyramid
ZHOU Quan,ZHANG Rong,YIN Dong
(Information Processing Center,University of Science and Technology of China,Hefei 230027,China)
Download:  PDF (1714KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

A method used for extracting multiscale features is applied to the optical remote sensing cloud images.They are decomposed to multiscale space and the features of images are expanded during the process,from which a multiscale feature vector can be acquired.Provided identical feature algorithm and classifier,it is illustrated by experiment that multiscale expanded features can help raise the precision of classification,from which better performance of classifying clouds and earth targets can be achieved.

Key words:  Optical remote sensing images      Multiscale features      Feature extracting      Unsupervised classification     
Received:  19 March 2010      Published:  30 October 2013
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
ZHOU Quan
ZHANG Rong
YIN Dong

Cite this article: 

. The Extracting of Multiscale Features of Remote Sensing Cloud Images Based on Gaussian Pyramid. Remote Sensing Technology and Application, 2010, 25(5): 604-608.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2010.5.604     OR     http://www.rsta.ac.cn/EN/Y2010/V25/I5/604

[1]Koffler R,DeCotiis A G,Rao P K.A Procedure for Estimating Cloud Amount and Height from Satellite Infrared Radiation Data[J].Monthly Weather Review,1973,101(3):240-243.
[2]Desbois M,Seze G,Szejwach G.Automatic Classification of Cl-ouds on METEOSAT Imagery:Application to High-level Clouds[J].Journal of Applied Meteorology,1982,21(3):401-412.
[3]Welch R M,Navar M S,Sengupta S K.The Effect of Spatial Resolution upon Texture-based Cloud Field Classifications[J].Journal of Geophysical Research,1989,94(D12):14767-14781.
[4]Xia Deshen,Jin Sheng,Wang Jian.Fractal Dimension and GG-CM Meteorology Cloud Pictures Recognition[J].Journal of Nanjing University of Science and Technology,1999,23(4):289-292.[夏德深,金盛,王健.基于分数维与灰度梯度共生矩阵的气象云图识别[J].南京理工大学学报,2009,23(4):289-292.]
[5]Fu Xiaoshan.Removing Cloud from Remote Sensing Image Ba-sed on Gray Gradient[J].Bulletin of Surveying and Mapping,2008,10:14-16.[傅晓珊.基于灰度梯度的遥感图像去云方法研究[J].测绘通报,2008,10:14-16.]
[6]Kubo M,Koshinaka H,Muramoto K.Extraction of Clouds fr-om Satellite Imagery in the Antarctic Using Wavelet Transform and Mahalanobis Classifier[C]//Geoscience and Remote Sensing Symposium (IGARSS 01 IEEE 2001 International),2001,5:2158-2160.
[7]Han C,Risser E,Ramamoorthi R,et al.Multiscale Texture Synthesis[J].ACM Transactions on Graphics,2008,27(3):Article No: 51:1-8.
[8]Burt P J,Adelson E H.The Laplacian Pyramid as a Compact Image Code[J].IEEE Transactions on Communications,1983,31(4):532-540.
[9]Pontius R G.Quantification Error Versus Location Error in Comparison of Categorical Maps[J].Photogrammetric Engineering & Remote Sensing,2000,66(8):1011-1018.

 

No Suggested Reading articles found!