Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 2, pp. 9-18
An experimental estimation of coherence using magnitude Sentinel-1 synthetic aperture radar images
M.Yu. Dostovalov
1 , K.A. Troshko
2, 3 1 Research Institute of Precision Instruments, Moscow, Russia
2 Institute of Geography RAS, Moscow, Russia
3 Kotelnikov Institute of Radioengineering and Electronics RAS, Fryazino Branch, Fryazino, Moscow Region, Russia
Accepted: 10.02.2020
DOI: 10.21046/2070-7401-2020-17-2-9-18
The experimental results of coherence estimation using Sentinel-1 magnitude images (GRD products) are presented. The common way for coherence estimation is to use complex images. The work demonstrates that coherence magnitude term can be estimated using intensity or magnitude images. Coherence analysis requires the processing of large amounts of data, so the coherence estimation using magnitude instead of complex images can save resources when conducting research, especially at the preliminary stages. The paper gives examples of comparison of coherence estimation results for complex and magnitude images. The use of magnitude images made it possible to detect the stages of agricultural work within the test site observing the coherence level variations. A series of coherence images was calculated from magnitude images for a year of observations. An analysis of coherence images allowed to observe seasonal variations and demonstrated the relationship between the coherence level and changes in some meteorological parameters (air temperature, snow cover).
Keywords: synthetic aperture radar, SAR, Sentinel-1, radar images, images interpretation, coherence estimation
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