Remotely Sensed Image Classification by Complex Network Eigenvalue and Connected Degree
نویسندگان
چکیده
منابع مشابه
Remotely Sensed Image Classification by Complex Network Eigenvalue and Connected Degree
It is a well-known problem of remotely sensed images classification due to its complexity. This paper proposes a remotely sensed image classification method based on weighted complex network clustering using the traditional K-means clustering algorithm. First, the degree of complex network and clustering coefficient of weighted feature are used to extract the features of the remote sensing imag...
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ژورنال
عنوان ژورنال: Computational and Mathematical Methods in Medicine
سال: 2012
ISSN: 1748-670X,1748-6718
DOI: 10.1155/2012/632703