DocumentCode :
2060259
Title :
Structural indexing of satellite images using texture feature extraction for retrieval
Author :
Gebril, Mohamed ; Buaba, Ruben ; Homaifar, Abdollah ; Kihn, Eric ; Zhizhin, Mikhail
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina Agric. & Tech. State Univ., Greensboro, NC, USA
fYear :
2010
fDate :
6-13 March 2010
Firstpage :
1
Lastpage :
9
Abstract :
A mixture of feature extraction (FE) and a Locality Sensitive Hashing (LSH) based searching algorithm to search for similarity in satellite imagery is presented. The goal is to build an accurate and fast query-by-example using content based image retrieval based on the information extracted from satellite image data. We have investigated and described various feature extraction methods relevant to our work in this paper. The experimental results demonstrate satisfactory retrieval efficiency based on the proposed model. The results show the effectiveness of our approach.
Keywords :
feature extraction; geophysical image processing; image retrieval; image retrieval; locality sensitive hashing; satellite imagery; satellite images; structural indexing; texture feature extraction; Content based retrieval; Feature extraction; Humans; Image retrieval; Indexing; Information retrieval; Meteorology; Satellites; Sea surface; Surface texture; Image retrieval; Item; Texture Feature vector; similarity measure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2010 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
978-1-4244-3887-7
Electronic_ISBN :
1095-323X
Type :
conf
DOI :
10.1109/AERO.2010.5446704
Filename :
5446704
Link To Document :
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