METHOD OF GROUP OBJECTS FORMING FOR SPACE-BASED REMOTE SENSING OF THE EARTH

Subject of Research. Research findings of the specific application of space-based optical-electronic and radar means for the Earth remote sensing are considered. The subject matter of the study is the current planning of objects survey on the underlying surface in order to increase the effectiveness of sensing system due to the rational use of its resources. Method. New concept of a group object, stochastic swath and stochastic length of the route is introduced. The overview of models for single, group objects and their parameters is given. The criterion for the existence of the group object based on two single objects is formulated. The method for group objects formation while current survey planning has been developed and its description is presented. The method comprises several processing stages for data about objects with the calculation of new parameters, the stochastic characteristics of space means and validates the spatial size of the object value of the stochastic swath and stochastic length of the route. The strict mathematical description of techniques for model creation of a group object based on data about a single object and onboard special complex facilities in difficult conditions of registration of spatial data is given. Main Results. The developed method is implemented on the basis of modern geographic information system in the form of a software tool layout with advanced tools of processing and analysis of spatial data in vector format. Experimental studies of the forming method for the group of objects were carried out on a different real object environment using the parameters of modern national systems of the Earth remote sensing detailed observation Canopus-B and Resurs-P. Practical Relevance. The proposed models and method are focused on practical implementation using vector spatial data models and modern geoinformation technologies. Practical value lies in the reduction in the amount of consumable resources by means of space and ground-based systems in the monitoring of small and point-like objects.

1. Grigor'ev A.N., Shilin B.V. Analysis of seasonal variations of the spectral characteristics of landscape components, using the data of the Hyperion space video spectrometer. Journal of Optical Technology(A Translation of Opticheskii Zhurnal), 2013, vol. 80, no. 6, pp. 360–362. doi: 10.1364/JOT.80.000360

2. Chichkova E.F. Rezul'taty kosmicheskoi s"emki vostochnoi chasti Finskogo zaliva v 2013 godu [Results of satellite imagery of Finland Gulf at east in 2013]. Sbornik Materialov XV Mezhdunarodnogo Ekologicheskogo Foruma Den' Baltiiskogo Morya [Proc. XV Int. Environmental Forum Baltic Sea Day]. St. Petersburg, 2014, pp. 54–55.

3.Grigor'ev A.N., Kritsuk S.G., Tronin A.A., Shilin B.V., Mezenko A.N. Mapping the vegetation of St. Petersburg from the materials of space-based digital multispectral imaging. Journal of Optical Technology (A Translation of Opticheskii Zhurnal), 2004, vol. 71, no. 3, pp. 158–164.

4. Grigoriev A.N. The method of formation of objects spectral characteristics on the basis of multitemporal data of space hyperspectral remote sensing. Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kkosmosa, 2014, vol. 11, no. 2, pp. 175–184. (in Russian)

5. Urlichich Yu.M., Selin V.A., Emel'yanov K.S. O prioritetakh prakticheskoi realizatsii razvitiya kosmicheskoi sistemy distantsionnogo razvitiya Zemli [On priorities of practical implementation of the space system of Earth remote development]. Aerokosmicheskii Kur'er, 2011, no. 6 (78), pp. 12–19.

6. Pikul A.I., Hegai D.K., Shpak A.V. The evaluation algorithm of the efficient grouping of the low-orbit satellites for the ground objects monitoring. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2011, no. 3 (73), pp. 66–70. (in Russian)

7. Maurer E., Mrowka F., Braun A., Geyer M.P., Lenzen C., Wasser Y., Wickler M. TerraSAR-X mission planning system: automated command generation for spacecraft operations. IEEE Transactions on Geoscience and Remote Sensing, 2010, vol. 48, no. 2, pp. 642–648. doi: 10.1109/TGRS.2009.2033469

8. Krieger G., Moreira A., Fiedler H., Hajnsek I., Werner M., Younis M., Zink M. TanDEM-X: a satellite formation for high-resolution SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 2007, vol. 45, no. 11, pp. 3317–3341. doi: 10.1109/TGRS.2007.900693

9. Gorbulin V.I., Zozulya L.P., Kargu D.L., Kotyashov E.V., Chernyavskii V.A. Operativnyi raschet intervalov nablyudeniya zadannoi dlitel'nosti kosmicheskikh apparatov na krugovykh i ellipticheskikh orbitakh [Operational calculation of observation intervals specified duration spacecraft into circular and elliptic orbits]. Voprosy Elektromekhaniki, 2012, vol. 131, p. 19–22.

10.Lippittab C.D., Stow D.A., Clarke K.C. On the nature of models for time-sensitive remote sensing. International Journal of Remote Sensing, 2014, vol. 35, no. 18, pp. 6815–6841. doi: 10.1080/01431161.2014.965287

11.Anglberger H., Tailhades S., Suess H. An image acquisition planning tool for optimizing information content in image data of spaceborne SAR systems. Proceedings of SPIE – The International Society for Optical Engineering, 2011, vol. 8179, art. 81790A. doi:10.1117/12.898141

12.Schott J.R., Gerace A.D., Brown S.D., Gartley M.G. Modeling the image performance of the landsat data continuity mission sensors. Proceedings of SPIE – The International Society for Optical Engineering, 2011, vol. 8153, art. 81530F. doi:10.1117/12.893675

13.Holst G.C. Imaging system fundamentals. Optical Engineering, 2011, vol. 50, no. 5, art. 052601. doi: 10.1117/1.3570681

14.Fedulov R.V., Shishkin A.S. Pointing of optical equipment of small remote sensing spacecraft. Vestnik Tomskogo Gosudarstvennogo Universiteta. Matematika i Mekhanika, 2013, no. 2 (22), pp. 97–104. (in Russian)

15.Polyakov A.Yu., Treskov V.V., Demidov V.M. Image linear shifts and rotation angle estimation for electronic optical system movement relatively to observable scene. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2010, no. 4 (68), pp. 118–119. (in Russian)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License