Volume 13 Issue 3 February - April 2018
T. Venkata Krishnamoorthy *, G. Umamaheswara
Reddy **
* Research Scholar, Department of
Electronics and Communication Engineering, Sri Venkateswara University College
of Engineering, Tirupati, Andhra Pradesh, India..
** Professor, Department of
Electronics and Communication Engineering, Sri Venkateswara University College
of Engineering, Tirupati, Andhra Pradesh, India
Krishnamoorthy, T. V., and Reddy, G.
U. (2018). Cloud Identification Method Using HOS Based ICA For Multispectral
NOAA Image. i-manager’s Journal on Future Engineering and Technology,13(3),
35-41. https://doi.org/10.26634/jfet.13.3.14229
Abstract
The Independent
Component Analysis (ICA) is showing a vital role in separating the image
objects and dimensional reduction. The clouds are very important in the
National Oceanic and Atmospheric Administration (NOAA) multispectral image. The
removal of total cloud is very difficult, so these clouds are classified using
this proposed technique. Using ICA and k-means clustering algorithm, the
different types of clouds are classified and clouds are separated from the
water and ground levels. These values are verified by temperature values of Ch4
and Ch5 bands, individual bands, Normalized Difference Vegetation Index (NDVI),
and albedo reflectance values with Ch1 and Ch2. This algorithm shows optimum
results compared with threshold and surface edge detection methods. The
performance of this proposed method has been evaluated visually with good
efficiency.
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