Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 235-242, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
13 Jun 2016
V. Savorskiy1,2, E. Loupian1, I. Balashov1, A. Kashnitskii1, A. Konstantinova1, V. Tolpin1, I. Uvarov1, O. Kuznetsov2, S. Maklakov2, O. Panova2, and E. Savchenko2 1Space Research Institute RAS, 117997, 84/32 Profsoyuznaya Str, Moscow, Russia
2Kotel’nikov Institute of Radioengineering and Electronics of Russian Academy of Sciences, Fryazino Department, Vvedenskogo sq., 1, Fryazino, Moscow region, Russia
Keywords: Services, Remote, Infrastructure, Distributed, System, Internet/Web Abstract. Creating high-performance means to manage massive hyperspectral data (HSD) arrays is an actual challenge when it is implemented to deal with disparate information resources. Aiming to solve this problem the present work develops tools to work with HSD in a distributed information infrastructure, i.e. primarily to use those tools in remote access mode. The main feature of presented approach is in the development of remotely accessed services, which allow users both to conduct search and retrieval procedures on HSD sets and to provide target users with tools to analyze and to process HSD in remote mode. These services were implemented within VEGA-Constellation family information systems that were extended by adding tools oriented to support the studies of certain classes of natural objects by exploring their HSD. Particular developed tools provide capabilities to conduct analysis of such objects as vegetation canopies (forest and agriculture), open soils, forest fires, and areas of thermal anomalies. Developed software tools were successfully tested on Hyperion data sets.
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Citation: Savorskiy, V., Loupian, E., Balashov, I., Kashnitskii, A., Konstantinova, A., Tolpin, V., Uvarov, I., Kuznetsov, O., Maklakov, S., Panova, O., and Savchenko, E.: VEGA-CONSTELLATION TOOLS TO ANALIZE HYPERSPECTRAL IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 235-242,, 2016.

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