Title :
A new computer vision algorithm for classification of POLSAR images
Author :
Zahra Faraji;Gholamreza Akbarizadeh
Author_Institution :
Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University, Ahvaz, Iran
fDate :
5/1/2015 12:00:00 AM
Abstract :
Extracting good representations from POLSAR images is essential for many computer vision tasks. In this paper, we propose hierarchical matching pursuit (HMP), which builds a feature hierarchy layer-by-layer using an efficient matching pursuit encoder. The algorithm proposed in this paper, was applied on a POLSAR image and the result demonstrates that the extracted features using the proposed computer vision algorithm is an effective and useful method for classification of POLSAR images.
Keywords :
"Matching pursuit algorithms","Feature extraction","Dictionaries","Sparse matrices","Classification algorithms","Algorithm design and analysis","Matrix decomposition"
Conference_Titel :
Information and Knowledge Technology (IKT), 2015 7th Conference on
Print_ISBN :
978-1-4673-7483-5
DOI :
10.1109/IKT.2015.7288776