DocumentCode :
2143639
Title :
A design of category classification system for high resolution satellite
Author :
Nakano, Masanori ; Kalpoma, Kazi A. ; Nakamura, Tomohiko ; Kudoh, Jun-ichi
Author_Institution :
Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai
Volume :
7
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
4516
Abstract :
For the high resolution satellite image database obtained from IKONOS and Quickbird, we proposed a design including category classification system. These images are essentially different from the image NOAA AVHRR, Landsat TM, Spot, etc., because obtained image is understood like an aeronautical photograph. This system has a knowledge collection and high quality training function to classify the category
Keywords :
geophysical signal processing; hydrological techniques; image classification; image resolution; lakes; visual databases; IKONOS; Landsat TM; NOAA AVHRR; Quickbird; Spot image; aeronautical photograph; category classification system; high quality training function; high resolution satellite; image database; Boats; Brightness; Data mining; Histograms; Image resolution; Information science; Lakes; Satellites; Solids; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370158
Filename :
1370158
Link To Document :
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