Detection of Clouds Using SVD and Spectral Properties for NOAA AVHRR Imagery

B.Ravi Kumar*, B. Anuradha**
* Research Scholar, Department of Electronics and Communication Engineering, S. V. University, Tirupati, India.
** Professor and Head, Department of Electronics and Communication Engineering, S. V. University, Tirupati, India.
Periodicity:April - June'2017


Analysis of clouds and their physical properties, such as liquid water content, ice water content, and Reflectivity plays a crucial role in examining the precipitation rate. Till now much work has been done on the NOAA data to examine the clouds and their relation to the rainfall rate. In present work, clouds are detected and classified based on the NOAA-18 AVHRR (Advance Very High Resolution Radiometer) satellite imagery using the SVD (Singular Value Decomposition) property. The eigen values in the SVD help to distinguish between land, snow, and ocean based on the spectral features of the NOAA band 1, 2, and 4 images. The proposed method found the detected clouds with accuracy of 60% using statistical measures. The RGB satellite images are extracted from the NOAA-18 data using ERDAS imagine software which are useful for further processing using MATLAB. All the data used in this work are acquired from NOAA-18 AVHRR satellite imagery installed at S.V. University College of Engineering.


Clouds, NOAA, Satellite Imagery, Singular Value Decomposition.

How to Cite this Article?

Kumar,.B.R. and Anuradha.B (2017). Detection of Clouds Using SVD and Spectral Properties for NOAA AVHRR Imagery. i-manager’s Journal on Image Processing, 4(2), 10-15.


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