A.E. Moskvitin – Ph.D.(Eng.), Associate Professor, Leading Research Scientist, 

Aerospace Image Processing Research Institute of Ryazan State Radio Engineering University E-mail: foton@rsreu.ru

V.A. Ushenkin – Ph.D.(Eng.), Senior Research Scientist, 

Aerospace Image Processing Research Institute of Ryazan State Radio Engineering University E-mail: foton@rsreu.ru

The problem of radar and optical image fusion is considered to simplify perception of specific for human radar data. Two new fusion algorithms as well as the algorithm of multitemporal speckle filtering, that is applied to radar image before their fusion with optical ones, are proposed. Performed experimental researches confirm the efficiency of proposed algorithms.

The problem of radar and optical image fusion is considered to simplify perception of specific for human radar data. Two new fusion algorithms are proposed. The first algorithm selects the «important» objects in the radar image and puts them on the optical substrate. The objects of small area, the brightness of which significantly exceeds the surrounding background, are recognized as «important» ones. The second algorithm colours the radar image using the multispectral optical image transformed to the HSV colour space. The hue is extracted from the optical image, the value is extracted from the radar one, and the saturation is computed by reduction of the source optical image saturation by amount determined by the ratio of the values of the optical and radar images. To improve the quality of fusion, it is necessary to reduce speckle noise in the source radar image. The algorithm of multitemporal speckle filtering, which allows to obtain less noisy image without reduction of spatial resolution from several radar images of the same scene at the case of temporal variations. Performed experimental researches confirm the efficiency of proposed algorithms.

1. Eremeev V.V., Egoshkin N.A., Makarenkov A.A., Moskvitin A.E., Ushenkin V.A. Problemnye voprosy obrabotki dannykh ot kosmicheskikh sistem giperspektralnoi i radiolokatsionnoi s’emki Zemli. Vestnik Ryazanskogo gosudarstvennogo radiotekhnicheskogo universiteta. 2017. № 60. S. 54−64.
2. Moskvitin A.E., Ushenkin V.A. Kompleksirovanie radiolokatsionnykh izobrazhenii ot voskhodyashchego i niskhodyashchego vitkov orbity na osnove nechetkoi logiki. Tsifrovaya obrabotka signalov. 2018. № 3. S. 10−15.
3. Egoshkin N.A., Eremeev V.V., Moskvitin A.E., Ushenkin V.A. Obrabotka informatsii ot sovremennykh kosmicheskikh sistem radiolokatsionnogo nablyudeniya Zemli. M.: FIZMATLIT. 2019. 320 s.
4. Egoshkin N.A., Ushenkin V.A. Interferometricheskaya obrabotka radiolokatsionnoi informatsii na osnove kombinatsii metodov razvertyvaniya fazy. Vestnik Ryazanskogo gosudarstvennogo radiotekhnicheskogo universiteta. 2015. № 54-2. S. 21−31.
5. Egoshkin N.A., Eremeev V.V., Moskvitin A.E., Ushenkin V.A. Formirovanie tsifrovykh modelei relefa na osnove vysokotochnogo razvertyvaniya fazy interferogramm ot sistem radiolokatsionnoi s’emki Zemli. Radiotekhnika. 2016. № 11. S. 120−127.
6. Egoshkin N.A., Ushenkin V.A. Effektivnaya organizatsiya massovykh koordinatnykh preobrazovanii pri geometricheskoi obrabotke radiolokatsionnykh izobrazhenii. Tsifrovaya obrabotka signalov. 2018. № 3. S. 16−20.
7. Egoshkin N.A., Ushenkin V.A. Sovmeshchenie vysokodetalnykh izobrazhenii s ispolzovaniem opornoi tsifrovoi modeli relefa pri interferometricheskoi obrabotke radiolokatsionnoi informatsii. Vestnik Ryazanskogo gosudarstvennogo radiotekhnicheskogo universiteta. 2015. № 51. S. 72−79.
8. Kuznetsov A.E., Presnyakov O.A., Svetelkin P.N. Modeli koordinatnogo sootvetstviya spektrozonalnykh snimkov sverkhvysokogo razresheniya. Vestnik Ryazanskogo gosudarstvennogo radiotekhnicheskogo universiteta. 2009. № 28. S. 12−17.
9. Kuznetsov A.E., Svetelkin P.N. Operativnoe sovmeshchenie spektrozonalnykh izobrazhenii pri tsvetosinteze. Vestnik Ryazanskogo gosudarstvennogo radiotekhnicheskogo universiteta. 2007. № 22. S. 3−7.
10. Voronin A.A., Egoshkin N.A., Eremeev V.V., Moskatinev I.V. Geometricheskaya obrabotka dannykh ot kosmicheskikh sistem globalnogo nablyudeniya Zemli. Vestnik Ryazanskogo gosudarstvennogo radiotekhnicheskogo universiteta. 2009. № 27. S. 12−17.
11. Lee J.S. Speckle Analysis and Smoothing of Synthetic Aperture Radar Images. Computer Graphics and Image Processing. 1981. V. 17. P. 24−32.
12. Frost V.S., Stiles J.A., Josephine A., Shanmugan K.S., Holtzman J.C. A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1982. V. PAMI-4. № 2. P. 157−166.
13. Lopes A., Nezry E., Touzi R., Laur H. Maximum A Posteriori Speckle Filtering and First Order texture Models in SAR Images. International Geoscience and Remote Sensing Symposium. 1990. P. 2409−2412.
14. Egoshkin N.A. Obrabotka bortovoi navigatsionnoi informatsii dlya vysokotochnoi operativnoi korrektsii kosmicheskikh izobrazhenii. Tsifrovaya obrabotka signalov. 2017. № 4. S. 23−29.