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SAR satellite data from domestic PIESAT-1 interferometric reconstruction： DEM accuracy verification and analysis

  • role： First author第一作者
  • Affiliation：

    College of Geological Engineering and Surveying and Mapping, Chang'an University, Xi'an 710054, China

  • Email：shuangcheng369@chd.edu.cn
  • Introduction：张双成，研究方向为卫星导航与遥感、星载激光雷达、GNSS与InSAR灾害监测等。E-mail： shuangcheng369@chd.edu.cn
ZHANG Shuangcheng1,  
  • role： Corresponding author通信作者
  • Affiliation：

    College of Geological Engineering and Surveying and Mapping, Chang'an University, Xi'an 710054, China

  • Email：wangminghui@chd.edu.cn
  • Introduction：王铭辉，研究方向为星载激光雷达测高、InSAR用于DEM提取等。E-mail： wangminghui@chd.edu.cn
WANG Minghui1*,  
  • Affiliation：

    Piesat Information Technology Co., Ltd, Beijing 100195, China

YANG Na2,  
  • Affiliation：

    Piesat Information Technology Co., Ltd, Beijing 100195, China

LU Jufeng2,  
  • Affiliation：

    College of Geological Engineering and Surveying and Mapping, Chang'an University, Xi'an 710054, China

WANG Jie1,  
  • Affiliation：

    College of Geological Engineering and Surveying and Mapping, Chang'an University, Xi'an 710054, China

HE Xiaoning1,  
  • Affiliation：

    College of Geological Engineering and Surveying and Mapping, Chang'an University, Xi'an 710054, China

YU Wenqiang1

résumé

Le 30 mars 2023, la société chinoise de l'espace commercial, Grande Information Technologie de l'espace, a réussi à lancer le premier satellite (PIESAT-1) qui injecte une nouvelle vitalité dans le développement des satellites SAR locaux, en tant que premier satellite de la constellation Nuwa, il dispose d'une cartographie topographique de haute précision, d'imagerie à large bande et de surveillance des déformations de haute précision. Cependant, il y a peu de recherches connexes sur le satellite, il est urgent d'explorer sa capacité de cartographie réelle. Dans cet article, une technologie DEM basée sur le processus InSAR a été ajustée en fonction de la configuration unique des satellites 1 principal + 3 satellites auxiliaires PIESAT-1. Tout d'abord, trois types de reliefs spéciaux – montagnes, collines et plaines – ont été choisis pour l'étude, en combinant l'interférométrie à une seule vue (L1B) obtenue pendant les essais en orbite du satellite PIESAT-1, une DEM a été produite à l'aide de la technologie InSAR et a été testée avec les points de contrôle ICESat-2 et DEM Copernicus. Les résultats ont montré que la précision verticale du produit DEM de PIESAT-1 dépassait celle du produit DEM Copernicus sous les trois types de reliefs, avec des valeurs RMSE respectivement de 4,8727 m, 7,8329 m, 0,9857 m; en même temps, le produit DEM PIESAT-1 surpassait le produit DEM Copernicus en termes de résolution spatiale, permettant de décrire plus clairement les détails du relief; la présente étude a également pris en compte l'impact de la végétation sur la précision des produits DEM, dans les régions avec une végétation dense, les erreurs dues à la végétation ne peuvent être ignorées. Les expériences menées dans cet article montrent que le complexe InSAR de PIESAT-1 a d'énormes avantages en termes de résolution spatiale, d'efficacité cartographique et de précision de la mesure par rapport à d'autres produits DEM, ce qui constitue une référence importante pour l'application commerciale de la constellation Nuwa.

mots-clés

PIESAT-1;Satellite-based InSAR terrain mapping;ICESat-2 control points;Multi-baseline phase unwrapping;DEM accuracy validation;Vegetation impacts

References

  1. 1.
    Carabajal C C and Boy J P. 2020. ICESAT-2 altimetry as geodetic control. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B3-2020: 1299-1306
  2. 2.
    Chen R P, Yu W D, Wang R, Liu G and Shao Y F. 2013. Integrated denoising and unwrapping of InSAR phase based on markov random fields. IEEE Transactions on Geoscience and Remote Sensing, 51(8): 4473-4485
  3. 3.
    Courty L G, Soriano-Monzalvo J C and Pedrozo-Acuña A. 2019. Evaluation of open‐access global digital elevation models (AW3D30, SRTM, and ASTER) for flood modelling purposes. Journal of Flood Risk Management, 12(S1): e12550
  4. 4.
    Cui B, Zhang Y H, Yan L and Wei J J. 2020. Dual-thresholds change detection in GF-3 SAR images. Journal of Remote Sensing (in Chinese), 24(1): 1-10
  5. 5.
    Deng Y K, Wang Y, Liu K Y, Ou N M, Liu D C, Zhang H and Wang J L. 2024. Key technologies for spaceborne SAR payload of LuTan-1 satellite system. Acta Geodaetica et Cartographica Sinica, 53(10): 1881-1895
  6. 6.
    Du X P, Guo H D, Fan X T, Zhu J J, Yan Z Z and Zhan Q. 2016. Vertical accuracy assessment of freely available digital elevation models over low-lying coastal plains. International Journal of Digital Earth, 9(3): 252-271
  7. 7.
    Ferraioli G, Shabou A, Tupin F and Pascazio V. 2009. Multichannel phase unwrapping with graph cuts. IEEE Geoscience and Remote Sensing Letters, 6(3): 562-566
  8. 8.
    Ghannadi M A, Alebooye S, Izadi M and Ghanadi A. 2023. Vertical accuracy assessment of Copernicus DEM (case study: Tehran and Jam cities). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4-W1-2022: 209-214
  9. 9.
    Ghiglia D C and Wahl D E. 1994. Interferometric synthetic aperture radar terrain elevation mapping from multiple observations//Proceedings of the IEEE 6th Digital Signal Processing Workshop. Yosemite National Park, CA, USA: IEEE: 33-36
  10. 10.
    Jain A O, Thaker T, Chaurasia A, Patel P and Singh A K. 2018. Vertical accuracy evaluation of SRTM-GL1, GDEM-V2, AW3D30 and ofCartoDEM-V3.1 30-m resolution with dual frequency GNSS for lower Tapi Basin India. Geocarto International, 33(11): 1237-1256
  11. 11.
    Jiang Z B, Wang J, Song Q and Zhou Z M. 2017. A refined cluster-analysis-based multibaseline phase-unwrapping algorithm. IEEE Geoscience and Remote Sensing Letters, 14(9): 1565-1569
  12. 12.
    Lai J B, Kang X D, Lu X K and Li S T. 2022. A review of land observation satellite remote sensing application technology with new generation artificial intelligence. National Remote Sensing Bulletin, 26(8): 1530-1546
  13. 13.
    Lang N, Jetz W, Schindler K and Wegner J D. 2023. A high-resolution canopy height model of the Earth. Nature Ecology and Evolution, 7(11): 1778-1789
  14. 14.
    Li B B, Xie H, Liu S J, Tong X H, Tang H and Wang X. 2021. A method of extracting high-accuracy elevation control points from ICESat-2 altimetry data. Photogrammetric Engineering and Remote Sensing, 87(11): 821-830
  15. 15.
    Li H, Zhao J Y, Yan B Q, Yue L W and Wang L C. 2022. Global DEMs vary from one to another: an evaluation of newly released Copernicus, NASA and AW3D30 DEM on selected terrains of China using ICESat-2 altimetry data. International Journal of Digital Earth, 15(1): 1149-1168
  16. 16.
    Li J, Zhang S C, Shi Y, Wang T, Wang M H and Wang J. 2024. Research on a histogram denoising algorithm based on Poisson distribution characteristics of original detected photons. Journal of Geo-Information Science, 26(8): 1911-1925
  17. 17.
    Li Z H, Li P, Ding D and Wang H J. 2018. Research progress of global high resolution digital elevation models. Geomatics and Information Science of Wuhan University, 43(12): 1927-1942
  18. 18.
    Liang H Y, Zhang L, Lu Z and Li X. 2023. Correction of spatially varying stratified atmospheric delays in multitemporal InSAR. Remote Sensing of Environment, 285: 113382
  19. 19.
    Liu H T, Xing M D and Bao Z. 2015. A cluster-analysis-based noise-robust phase-unwrapping algorithm for multibaseline interferograms. IEEE Transactions on Geoscience and Remote Sensing, 53(1): 494-504
  20. 20.
    Loffeld O and Kramer R. 1999. Phase unwrapping for SAR interferometry. A data fusion approach by Kalman filtering//Proceedings of the IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293). Hamburg: IEEE: 1715-1717
  21. 21.
    Lombardo P and Lombardini F. 1997. Multi-baseline SAR interferometry for terrain slope adaptivity//Proceedings of 1997 IEEE National Radar Conference. Syracuse, NY, USA: IEEE: 196-201
  22. 22.
    Martinez-Espla J J, Martinez-Marin T and Lopez-Sanchez J M. 2009. A particle filter approach for InSAR phase filtering and unwrapping. IEEE Transactions on Geoscience and Remote Sensing, 47(4): 1197-1211
  23. 23.
    Meadows M, Jones S and Reinke K. 2024. Vertical accuracy assessment of freely available global DEMs (FABDEM, Copernicus DEM, NASADEM, AW3D30 and SRTM) in flood-prone environments. International Journal of Digital Earth, 17(1): 2308734
  24. 24.
    Pascazio V and Schirinzi G. 2002. Multifrequency InSAR height reconstruction through maximum likelihood estimation of local planes parameters. IEEE Transactions on Image Processing, 11(12): 1478-1489
  25. 25.
    Pavlis N K, Holmes S A, Kenyon S C and Factor J K. 2012. The development and evaluation of the Earth Gravitational Model 2008 (EGM2008). Journal of Geophysical Research: Solid Earth, 117(B4): B04406
  26. 26.
    Talchabhadel R, Nakagawa H, Kawaike K, Yamanoi K and Thapa B R. 2021. Assessment of vertical accuracy of open source 30m resolution space-borne digital elevation models. Geomatics, Natural Hazards and Risk, 12(1): 939-960
  27. 27.
    Uuemaa E, Ahi S, Montibeller B, Muru M and Kmoch A. 2020. Vertical accuracy of freely available global digital elevation models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM). Remote Sensing, 12(21): 3482
  28. 28.
    Wang M, Wei Y, Yang B and Zhou X. 2021. Extraction and analysis of global elevation control points from ICESat-2/ATLAS data. Geomatics and Information Science of Wuhan University, 46(2): 184-192
  29. 29.
    Wang T, Fang Y, Zhang S C and Cao B C. 2023. A crossover evaluation and calibration method for geolocation error of spaceborne photon-counting laser altimeter. IEEE Transactions on Geoscience and Remote Sensing, 61: 5705616
  30. 30.
    Xiang J B, Lü X L, Fu X K, Xue F Y, Yun Y, Ye Y and He K. 2022. Bistatic InSAR interferometry imaging and DSM generation for TH-2. Acta Geodaetica et Cartographica Sinica, 51(12): 2493-2500
  31. 31.
    Xu W, Chang E C, Kwoh L K, Lim H, Cheng W and Heng A. 1994. Phase-unwrapping of SAR interferogram with multi-frequency or multi-baseline//Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium. Pasadena, CA, USA: IEEE: 730-732
  32. 32.
    Yamaki R and Hirose A. 2007. Singularity-spreading phase unwrapping. IEEE Transactions on Geoscience and Remote Sensing, 45(10): 3240-3251
  33. 33.
    Yang N, Liao T K, Lu J F, Yang R Y, Qian X M, Zhang T, Zhu J L, Liu F J and Qiao J H. 2024. Aerospace PIESAT-1 synthetic aperture radar satellite system and applications. Satellite Application, (7): 12-19
  34. 34.
    Yap L, Kandé L H, Nouayou R, Kamguia J, Ngouh N A and Makuate M B. 2019. Vertical accuracy evaluation of freely available latest high-resolution (30 m) global digital elevation models over Cameroon (Central Africa) with GPS/leveling ground control points. International Journal of Digital Earth, 12(5): 500-524
  35. 35.
    Ying L, Munson D C, Koetter R and Frey B J. 2003. Multibaseline InSAR terrain elevation estimation: a dynamic programming approach//Proceedings of 2003 International Conference on Image Processing. Barcelona, Spain: IEEE: III-157
  36. 36.
    Yu H W and Lan Y. 2016. Robust two-dimensional phase unwrapping for multi-baseline SAR interferograms: a two-stage programming approach. IEEE Transactions on Geoscience and Remote Sensing, 54(9): 5217-5225
  37. 37.
    Yu H W, Lan Y, Lee H and Cao N. 2018. 2-D phase unwrapping using minimum infinity-norm. IEEE Geoscience and Remote Sensing Letters, 15(12): 1887-1891
  38. 38.
    Yu H W, Lan Y, Yuan Z H, Xu J Y and Lee H. 2019. Phase unwrapping in InSAR : a review. IEEE Geoscience and Remote Sensing Magazine, 7(1): 40-58
  39. 39.
    Yu H W, Li Z F and Bao Z. 2011a. A cluster-analysis-based efficient multibaseline phase-unwrapping algorithm. IEEE Transactions on Geoscience and Remote Sensing, 49(1): 478-487
  40. 40.
    Yu H W, Li Z F and Bao Z. 2011b. Residues cluster-based segmentation and outlier-detection method for large-scale phase unwrapping. IEEE Transactions on Image Processing, 20(10): 2865-2875
  41. 41.
    Yue J W, Huang Q H, Liu H and Ma Z F. 2024. A multi-baseline phase unwrapping method based on a discrete optimization framework. Acta Geodaetica et Cartographica Sinica, 53(3): 473-481
  42. 42.
    Zanaga, D, Van De Kerchove R, Daems D, De Keersmaecker W, Brockmann, C, Kirches G, Wevers J, Cartus O, Santoro M, Fritz S, Lesiv M, Herold M, Tsendbazar N E, Xu P P, Ramoino F and Arino O. 2022. ESA WorldCover 10 m 2021 v200. Zenodo
  43. 43.
    Zhang S C, Wang J, Feng Z J, Wang T, Li J and Liu N. 2024. Verification of the accuracy of Sentinel-1 for DEM extraction error analysis under complex terrain conditions. International Journal of Applied Earth Observation and Geoinformation, 133: 104157
  44. 44.
    Zhang X J, Zeng Q M, Jiao J and Zhang J F. 2016. Fusion of space-borne multi-baseline and multi-frequency interferometric results based on extended Kalman filter to generate high quality DEMs. ISPRS Journal of Photogrammetry and Remote Sensing, 111: 32-44

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