DocumentCode
2675169
Title
Image Classification and Indexing Using Data Compression Based Techniques
Author
Cerra, Daniele ; Datcu, Mihai
Author_Institution
German Aerosp. Center DLR, Remote Sensing Technol. Inst. IMF, Wessling
Volume
1
fYear
2008
fDate
7-11 July 2008
Abstract
This paper proposes complexity based analysis as a valid alternative to classic image analysis methodologies for Earth Observation imagery, which are heavily dependant on the assumed data models. These methods are totally model-free and data-driven, and may be successfully employed for image classification and indexing, regardless of spatial and radiometric resolution of the scene and sensor type.
Keywords
data compression; geophysical techniques; geophysics computing; image classification; pattern recognition; Earth Observation imagery; data compression based techniques; data models; image classification; image indexing; scene resolution; sensor type; Data compression; Data models; Earth; Image analysis; Image classification; Image resolution; Indexing; Layout; Radiometry; Spatial resolution; Data Compression; Data Mining; Image classification; Kolmogorov Complexity;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4778837
Filename
4778837
Link To Document