5 October 2017 High-performance technology for indexing of high volumes of Earth remote sensing data
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Abstract
The present paper has suggested a technology for search, indexing, cataloging and distribution of aerospace images on the basis of geo-information approach, cluster and spectral analysis. It has considered information and algorithmic support of the system. Functional circuit of the system and structure of the geographical data base have been developed on the basis of the geographical online portal technology. Taking into account heterogeneity of information obtained from various sources it is reasonable to apply a geoinformation platform that allows analyzing space location of objects and territories and executing complex processing of information. Geoinformation platform is based on cartographic fundamentals with the uniform coordinate system, the geographical data base, a set of algorithms and program modules for execution of various tasks. The technology for adding by particular users and companies of images taken by means of professional and amateur devices and also processed by various software tools to the array system has been suggested. Complex usage of visual and instrumental approaches allows significantly expanding an application area of Earth remote sensing data. Development and implementation of new algorithms based on the complex usage of new methods for processing of structured and unstructured data of high volumes will increase periodicity and rate of data updating. The paper has shown that application of original algorithms for search, indexing and cataloging of aerospace images will provide an easy access to information spread by hundreds of suppliers and allow increasing an access rate to aerospace images up to 5 times in comparison with current analogues.
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Valery V. Strotov, Valery V. Strotov, Alexander I. Taganov, Alexander I. Taganov, Aleksandr N. Kolesenkov, Aleksandr N. Kolesenkov, Boris V. Kostrov, Boris V. Kostrov, } "High-performance technology for indexing of high volumes of Earth remote sensing data", Proc. SPIE 10430, High-Performance Computing in Geoscience and Remote Sensing VII, 104300K (5 October 2017); doi: 10.1117/12.2278190; https://doi.org/10.1117/12.2278190
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