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Article information
2016 , Volume 21, ¹ 1, p.127-140
Sinyavskiy Y.N., Pestunov I.A., Dubrovskaya O.A., Rylov S.A., Melnikov P.V., Ermakov N.B., Polyakova M.A.
Methods and technology for segmentation of images with high spatial resolution for studies of nature and man-made objects
A logical scheme for uniform representation and technology for joint processing of heterogeneous spatial data is proposed. A set of raster layers (data layers) is generated by all available geo-referenced data (satellite images, maps, digital elevation models, field data etc.). Data layers are used to generate a set of binary masks (thematic layers) built with available a priori information and expert knowledge. Thematic layers are designed to highlight specific types of objects (water bodies, shadows, vegetation, manmade areas, etc). All of the new raster layers are interpreted as additional features during further processing. Thematic layers allow using the most appropriate method of processing for each type of object. Methods necessary for solving practical problems with the proposed technology being developed at the laboratory of data processing of the Institute of Computational Technologies SB RAS. These methods are implemented as standardized web services (WPS processes). Nine web services are created based on original algorithms of image segmentation and highlighting of different object types. This approach allows using the proposed technology to solve practical problems on the client side using both freeware GIS packages (QGIS, uDig, openJUMP et al) and commercial geographic information system ArcGIS. The technology and methods been used successfully to solve three practical problems: 1) discovery and mapping of pine tree stands damage by the Pleiades-1A satellite images; 2) identification of the fundamental laws of formation for steppe vegetation biome by the WorldView-2 satellite data; 3) rapid assessment of the flood situation and flooded areas identification by images from Russian satellites (Canopus-B, Resurs-P, and Meteor-M).
[full text]
Keywords: multispectral satellite images segmentation, high spatial resolution, texture and context features, heterogeneous data processing, web services
Author(s):
Sinyavskiy Yuriy Nikolaevich
Position: Research Scientist
Office: Institute of Computational Technologies SB RAS
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
E-mail: yorikmail@gmail.com
Pestunov Igor Alekseevich
PhD. , Associate Professor
Position: Leading research officer
Office: Federal Research Center for Information and Computational Technologies
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
Phone Office: (383) 334-91-55
E-mail: pestunov@ict.nsc.ru
SPIN-code: 9159-3765Dubrovskaya Olga Anatolyevna
Position: Junior Research Scientist
Address: Russia, Novosibirsk, Novosibirsk, Ac. Lavrentiev ave., 6
E-mail: olga@ict.nsc.ru
Rylov Sergey Aleksandrovich
PhD.
Position: Senior Research Scientist
Office: Federal Research Center for Information and Computational Technologies, Katanov Khakass State University
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
Phone Office: (383) 334-91-73
E-mail: RylovS@mail.ru
SPIN-code: 4223-5724Melnikov Pavel Vladimirovich
Position: Leader Expert
Office: Institute of Computational Technologies
Address: 630090, Russia, Novosibirsk, 6 Acad. Lavrentjev ave
Phone Office: (383) 334-91-55
E-mail: pvlvlml@gmail.com
Ermakov Nikolai Borisovich
Dr.
Position: General Scientist
Address: 630090, Russia, Novosibirsk, 101, Zolotodolinskaya st.,
Phone Office: (383) 339-97-61
E-mail: brunnera@mail.ru
Polyakova Mariya Alexandrovna
PhD.
Position: Senior Research Scientist
Office: Central Siberian botanical garden SB RAS
Address: 630090, Russia, Novosibirsk, 101, Zolotodolinskaya st.
E-mail: galatella@mail.ru
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Bibliography link:
Sinyavskiy Y.N., Pestunov I.A., Dubrovskaya O.A., Rylov S.A., Melnikov P.V., Ermakov N.B., Polyakova M.A. Methods and technology for segmentation of images with high spatial resolution for studies of nature and man-made objects // Computational technologies. 2016. V. 21. ¹ 1. P. 127-140
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