DocumentCode :
2288025
Title :
Retrieving Similar Image Using Color Moment Feature Detector and K-Means Clustering of Remote Sensing Images
Author :
Maheshwary, P. ; Srivastav, Namita
Author_Institution :
Dept. of Comput. Applic., Maulana Azad Nat. Inst. of Technol., Bhopal
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
821
Lastpage :
824
Abstract :
Information extraction in remote sensing images has become an important area of research. Now daypsilas remote sensing images are used extensively for finding patterns of interest. The remote sensing data is processed automatically by computer and/or manually interpreted by humans, and are used in agriculture, geology, oceanography, meteorology, environment etc. In this paper, different Remote Sensing Images of Bhopalare preprocessed and stored in JPEG format. Then as a feature detector we use color moment, a low level color measurement. Finally clustering of these images is done with K-means clustering algorithm.
Keywords :
feature extraction; image colour analysis; image processing; image retrieval; pattern clustering; remote sensing; Bhopalare; Information extraction; JPEG format; K-means clustering; color moment feature detector; low level color measurement; remote sensing data; remote sensing images; Agriculture; Computer vision; Data mining; Detectors; Geology; Humans; Image retrieval; Meteorology; Remote sensing; Sea measurements; Remote Sensing Images; color moments; k-means clustering; retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3504-3
Type :
conf
DOI :
10.1109/ICCEE.2008.114
Filename :
4741098
Link To Document :
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