|Authors||Kovalevskaya N.M.; Boenko K.A.|
|Keywords||pattern similarity; visual modeling; textural features|
Study results of content-based retrieval from high resolution image data base (HRIDB) are presented. With the launch of each remote sensing satellite, the data is increasing exponentially both in content and usage. Multiple terabytes of HRIDB are being collected by majority of nations across the globe. It raises question how to retrieve, manage and make best use of the HRIDB information.
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High Resolution Imagery Retrieval for Terrestrial Vegetation and Land Use Study
Submitted by Visitor on Wed, 2009-09-02 12:12.