homepage  Research  Publications  2011
 
Wang W, Song WG, Liu SX, Zhang YM, Zheng HY, Tian W (2011a) Spectroscopy and Spectral Analysis 31(4), 1061-1064.
Date: 2011-08-16   Author: SKLFS  ,   Source: WOS  ,
 

Wang W, Song WG, Liu SX, Zhang YM, Zheng HY, Tian W (2011a) A Cloud Detection Algorithm for MODIS Images Combining Kmeans Clustering and Multi-Spectral Threshold Method. Spectroscopy and Spectral Analysis 31(4), 1061-1064. [In Chinese]

Web link: http://dx.doi.org/10.3964/j.issn.1000-0593(2011)04-1061-04

Keywords:

MODIS, Cloud detection, Kmeans, Brightness, avhrr data, clear-sky

Abstract: An improved method for detecting cloud combining Kmeans clustering and the multi-spectral threshold approach is described. On the basis of landmark spectrum analysis, MODIS data is categorized into two major types initially by Kmeans method. The first class includes clouds, smoke and snow, and the second class includes vegetation, water and land. Then a multi-spectral threshold detection is applied to eliminate interference such as smoke and snow for the first class. The method is tested with MODIS data at different time under different underlying surface conditions. By visual method to test the performance of the algorithm, it was found that the algorithm can effectively detect smaller area of cloud pixels and exclude the interference of underlying surface, which provides a good foundation for the next fire detection approach.

 
Print    Close
 
 
   
  
 
Relevant link
Contact us
State Key Laboratory of Fire Science, University of Science and Technology of China
Jinzhai Road 96, Hefei, Anhui, P. R. China
P. O.: 230026
   
Tel:(+86)551 63601651
Fax:(+86)551 63601669
E-mail:sklfs@ustc.tsg211.com
 
 
Copyright © 1990-2011 State Key Laboratory of Fire Science, University of Science and Technology of China
Tel:(+86)551 3601651 | Fax:(+86)551 3601669 | E-mail:sklfs@ustc.tsg211.com | ICP: D20380176