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
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