Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 23, 2026
Number 1 Number 2 Number 3 Number 4
Volume 22, 2025
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026, V. 23, No. 4, pp. 103-118

Comparative analysis of coherence of C-band radar data of Fucheng-1 and Sentinel-1A based on standard interferometry and sub-look image correlation

D. Wu 1 , M.V. Zimin 1, 2 , P.G. Ilyushina 1 , A.A. Medvedev 2, 3 
1 Lomonosov Moscow State University, Moscow, Russia
2 Institute of Geography RAS, Moscow, Russia
3 Center for Ecological-Noosphere Studies NAS RA, Yerevan, Armenia
Accepted: 11.06.2026
DOI: 10.21046/2070-7401-2026-23-4-103-118
In this work, a comparative analysis of the coherence of C-band radar data from the Fucheng-1 and Sentinel-1A satellites was performed using two approaches: the standard interferometric coherence estimation method and the method of identifying coherent scatterers based on the correlation properties of sub-look SAR images, which includes the single sub-look method and the temporal sub-look coherence method. The study was carried out for an area in Tula Region, Russia, that includes urban development, agricultural land, quarries, forested areas and wetland floodplains. The analysis is based on Sentinel-1 and Fucheng-1 image series acquired in April and May 2024, together with an ALOS (Advanced Land Observing Satellite) World 3D digital elevation model. The comparison takes into account acquisition geometry, perpendicular baseline, meteorological conditions and land-cover variability. The results show that Fucheng-1 data, owing to higher spatial resolution and generally smaller interferometric baselines, make it possible to identify a denser network of highly coherent points, especially on stable urban objects, quarry surfaces and elements of agricultural infrastructure. Sentinel-1 data provides a sparser distribution of such points, while preserving a similar spatial pattern. The obtained results confirm the significant application potential of data from the Fucheng-1 new high spatial resolution radar satellite.
Keywords: radar interferometry, coherence, Sentinel-1A, Fucheng-1, C-band, sub-look synthetic aperture radar image, coherent scatterers, differential interferometry, remote sensing
Full text

References:

  1. Denisov P. V., Zakharov A. I., Martyanov A. S., Troshko K. A., Study of interferometric coherence depending on the interval between radar acquisitions using X-band data as an example, Sovremennye problemy distantsionnogo zondirovaniya, radiolokatsii, rasprostraneniya i difraktsii voln: materialy 2-i Vserossiyskoi nauchnoi konferentsii po problemam radiofiziki i distantsionnogo zondirovaniya sred, provodimoi v ramkah 8-kh Vserossiiskikh Armandovskikh chtenii: sbornik statei (Modern problems of remote sensing, radar, wave propagation and diffraction: Proc. 2nd All-Russian Scientific Conf. on Problems of Radiophysics and Remote Sensing of Environments, held within the framework of the 8th All-Russian Armandov Readings: collection of articles), Murom, 2018, pp. 246–251 (in Russian).
  2. Sosnovskiy A. V., Kobernichenko V. G., Vinogradova N. S., The problem of assessing the quality of coherence map calculation methods in interferometric processing of Earth remote sensing radar data, Sbornik trudov ITNT-2019 (Collection of works ITNT-2019), Samara: Novaya tekhnika, 2019, V. 2, pp. 514–521 (in Russian).
  3. Akiki R., Anger J., de Franchis C. et al., A brief evaluation of InSAR phase denoising and coherence estimation with Phi-Net, Image Processing On Line, 2024, V. 14, pp. 205–216, DOI: 10.5201/ipol.2024.549.
  4. Bamler R., Hartl P., Synthetic aperture radar interferometry, Inverse Problems, 1998, V. 14, No. 4, pp. R1–R54, DOI: 10.1088/0266-5611/14/4/001.
  5. Bettiol G. M., Ferreira M. E., Motta L. P. et al., Conformity of the NASADEM_HGT and ALOS AW3D30 DEM with the altitude from the Brazilian geodetic reference stations: A case study from Brazilian Cerrado, Sensors, 2021, V. 21, No. 9, Article 2935, DOI: 10.3390/s21092935.
  6. Caglar B., Becek K., Mekik C., Ozendi M., On the vertical accuracy of the ALOS world 3D-30m digital elevation model, Remote Sensing Letters, 2018, V. 9, No. 6, pp. 607–615, DOI: 10.1080/2150704X.2018.1453174.
  7. Ding X., Li Z., Zhu J. et al., Atmospheric effects on InSAR measurements and their mitigation, Sensors, 2008, V. 8, No. 9, pp. 5426–5448, DOI: 10.3390/s8095426.
  8. Feng S., Dai K., Sun T. et al., Mini-satellite Fucheng 1 SAR: Interferometry to monitor mining-induced subsidence and comparative analysis with Sentinel-1, Remote Sensing, 2024, V. 16, No. 18, Article 3457, DOI: 10.3390/rs16183457.
  9. Ferretti A., Prati C., Rocca F., Permanent scatterers in SAR interferometry, IEEE Trans. Geoscience and Remote Sensing, 2001, V. 39, No. 1, pp. 8–20, DOI: 10.1109/36.898661.
  10. Ferretti A., Monti-Guarnieri A., Prati C., Rocca F., Massonnet D., InSAR principles: Guidelines for SAR interferometry processing and interpretation, Noordwijk: European Space Agency, 2007, 250 p.
  11. Ge Z., Wang Y., Wu W. et al., Preliminary application of Chinese high-resolution small SAR satellites in large-scale monitoring of the middle route of the South-to-North Water Diversion Project, Advances in Space Research, 2026, V. 77, No. 3, pp. 3119–3140, DOI: 10.1016/j.asr.2025.11.055.
  12. Han Y., Dai K., Deng J. et al., Fucheng-1 high-resolution Chinese interferometric SAR: First DInSAR result for landslides monitoring, Measurement, 2025, V. 247, Article 116876, DOI: 10.1016/j.measurement.2025.116876.
  13. Ho Tong Minh D., Hanssen R., Rocca F., Radar interferometry: 20 years of development in time series techniques and future perspectives, Remote Sensing, 2020, V. 12, No. 9, Article 1364, DOI: 10.3390/rs12091364.
  14. Iglesias R., Mallorqui J. J., Monells D. et al., PSI deformation map retrieval by means of temporal sublook coherence on reduced sets of SAR images, Remote Sensing, 2015, V. 7, No. 1, pp. 530–563, DOI: 10.3390/rs70100530.
  15. Rosen P. A., Hensley S., Joughin I. R. et al., Synthetic aperture radar interferometry, Proc. IEEE, 2000, V. 88, No. 3, pp. 333–382, DOI: 10.1109/5.838084.
  16. Sanjuan-Ferrer M., Hajnsek I., Papathanassiou K. P. et al., A new detection algorithm for coherent scatterers in SAR data, IEEE Trans. Geoscience and Remote Sensing, 2015, No. 53, No. 11, pp. 6293–6307, DOI: 10.1109/TGRS.2015.2438173.
  17. Tang G., Dai K., Yang F. et al., Time series analysis of Fucheng-1 interferometric SAR for potential landslide monitoring and synergistic evaluation with Sentinel-1 and ALOS-2, Remote Sensing, 2026, V. 18, No. 2, Article 304, DOI: 10.3390/rs18020304.
  18. Wang S., Chen Z., Zhang G. et al., Overview and analysis of ground subsidence along China’s urban subway network based on synthetic aperture radar interferometry, Remote Sensing, 2024, V. 16, No. 9, Article 1548, DOI: 10.3390/rs16091548.