DocumentCode :
144413
Title :
A content based MAP retrieval system for land cover data
Author :
Jun Liu ; Bin Luo ; Liangpei Zhang
Author_Institution :
State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
5191
Lastpage :
5194
Abstract :
In this paper, we design a Content-based map retrieval (CBM-R) system for land cover/land use (LCLU). The main contributions of our work are listed below. First, our system could allow the user to select region of interest as reference scene with variable shape and size. Whereas in traditional CBIR/CBMR systems, the region of interest is usually with fixed size of which is equal to the size of the analyse window for extracting features. In addition, the user could acquire various retrieval results by specifying corresponding parameters. In the end, by using combination of the feature library, the user could acquire the retrieval result faster.
Keywords :
feature extraction; geophysical image processing; image retrieval; land cover; land use; remote sensing; terrain mapping; CBIR system; CBMR system; content-based map retrieval system; feature extraction; feature library; land cover data; land use data; reference scene; remote sensing database; Airports; Databases; Earth; Feature extraction; Libraries; Remote sensing; Shape; Content-based image retrieval; land cover datasets; similarity map;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947668
Filename :
6947668
Link To Document :
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