Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 4, pp. 49-57
Detection of aircraft using change detection method on Sentinel-1 synthetic aperture radar images
M.Yu. Dostovalov
1 , R.V. Ermakov
1 , A.A. Teplov
1 1 Scientific Research Institute of Precise Instruments, Moscow, Russia
Accepted: 01.06.2018
DOI: 10.21046/2070-7401-2018-15-4-49-57
The work demonstrates the results of aircraft detection using Sentinel-1 synthetic aperture radar (SAR) images. The resolution of Sentinel-1 images is, in general, insufficient for aircraft monitoring. Nevertheless, the presented examples of processing show that in some cases large airplane types can be detected applying change detection technique. While using change detection methods we need to take into account the problem of detection of objects that are located at the same places in two or several images. This problem was eliminated using a reference image formed by minimum pixels of entire image series. The results of processing in many cases clearly correspond to the number of targets that can be detected in the image manually. The estimated probability of correct detection of an aircraft located in the airfield was about 0.76 using a series of 15 Sentinel-1 SAR images (GRD products) acquired in the same observation conditions within the period from January to November 2017.
Keywords: synthetic aperture radar, SAR, Sentinel-1, SAR images, change detection, object detection
Full textReferences:
- Akhmanov S. A., Dyakov Y. E., Chirkin A. S., Vvedenie v statisticheskuyu radiofiziky i optiku (Introduction to statistical radiophysic and optic), Moscow: Nauka, 1981, 640 p.
- Dostovalov M. Y., Lifanov A. S., Moussiniants T. G., Obnaruzhenie ob″ektov po izmeneniyam na radiolokatsionnykh izobrazheniyakh RSA (Object monitoring using SAR images change detection), Issledovanie Zemli iz kosmosa, 2007, No. 4, pp. 15–26.
- Fukunaga K., Vvedenie v statisticheskuyu teoriyu raspoznavaniya obrazov (Introduction to statistical pattern recognition), Moscow: Nauka, 1979, 367 p.
- Baessler M., Runge H., Suchandt S., Zhang Y., Change detection for traffic measurement in multi-temporal TerraSAR-X SpotLight images, Proc. EUSAR-2012, Nurnberg, 2012, pp. 328–331.
- Chen J., Zhang B., Wang C., Backscattering Feature Analysis and Recognition of Civilian Aircraft in TerraSAR-X Images, IEEE Geoscience and Remote Sensing Letters, 2015, Vol. 12, No. 4, pp. 796–800.
- Conradsen K., Nielsen A., Schou J., Skriver H., A test statistic in the complex Wishart distribution and its application to change detection in polarimetric SAR data, IEEE Transactions on Geoscience and Remote Sensing, 2003, Vol. 41, No. 1, pp. 4–19.
- Doerry A., Dickey F., Synthetic Aperture Radar, Optics and Photonics News, 2004, Vol. 15, No. 11, pp. 28–33.
- Geudtner D., Torres R., Snoeij P., Bibby D., Sentinel-1 System, Proc. EUSAR-2014, Berlin, 2014, pp. 1–3.
- Le T., Atto A., Trouve E., Nicolas J., Adaptive multitemporal SAR image filtering based on the change detection matrix, IEEE Geoscience and Remote Sensing Letters, 2014, Vol. 11, No. 10, pp. 1826–1830.
- Nielsen A., Conradsen K., Skriver H., Canty M., Change detection in a series of Sentinel-1 SAR data, 9th Intern. Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2017.
- Potin P., Rosich B., Grimont P., Sentinel-1 Mission Status, Proc. EUSAR-2016, Hamburg, 2016, pp. 59–64.
- Rignot E., van Zylv J., Change detection techniques for ERS-1 SAR data, IEEE Transactions on Geoscience and Remote Sensing, 1993, Vol. 31, pp. 896–906.
- Schwerdt M., Schmidt K., Tous-Ramon N., Castellanos G., Döring A., Sentinel-1B Independent in Orbit System Calibration ― First Results, Proc. EUSAR-2016, Hamburg, 2016, pp. 55–58.