PLEIADES SYSTEM ARCHITECTURE AND MAIN PERFORMANCES

64 citations as recorded by crossref.

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5. Mapping the surface properties of the Asal-Ghoubbet rift by massive inversion of the Hapke model on Pleiades multiangular images D. Nguyen et al. https://doi.org/10.1016/j.rse.2025.114691
6. Évolution recente des glaciers du Vignemale (2013-2017) S. Gascoin & P. René https://doi.org/10.3989/pirineos.2018.173004
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12. Land cover identification using Pleiades satellite imagery by comparison of NDVI and BI method in Jatinangor, West Java D. Arini et al. https://doi.org/10.1088/1755-1315/500/1/012007
13. Monitoring Indian ungauged small reservoirs volume from remote sensing: Feasibility, bias and perspectives C. Pascal et al. https://doi.org/10.1371/journal.pwat.0000260
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18. Recent mass-balance changes of Agua Negra glacier (30°S) in the Desert Andes of Argentina P. Pitte et al. https://doi.org/10.1017/jog.2022.22
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20. Evaluation of the Potential of Very-High-Resolution Satellite Imagery in Large-Scale Mapping I. Afa et al. https://doi.org/10.3390/rs18091421
21. A reproducible pipeline for generating analysis-ready paddy-field segmentation datasets from cadastral vectors and Pléiades very-high-resolution imagery H. Setiadi et al. https://doi.org/10.1016/j.mex.2026.104070
22. DSM-based identification of changes in highly dynamic urban agglomerations G. Warth et al. https://doi.org/10.1080/22797254.2019.1604083
23. Analysis and Processing of Nadir and Stereo VHR Pleiadés Images for 3D Mapping and Planning the Land of Nineveh, Iraqi Kurdistan E. Malinverni et al. https://doi.org/10.3390/geosciences7030080
24. Situational Awareness of Large Infrastructures Using Remote Sensing: The Rome–Fiumicino Airport during the COVID-19 Lockdown A. Pulella & F. Sica https://doi.org/10.3390/rs13020299
25. Attitude Maneuver Planning of Agile Satellites for Time Delay Integration Imaging W. Qiu & C. Xu https://doi.org/10.2514/1.G003649
26. The Pléiades Glacier Observatory: high-resolution digital elevation models and ortho-imagery to monitor glacier change E. Berthier et al. https://doi.org/10.5194/tc-18-5551-2024
27. Oblique view imaging analysis of a hypothetical earth observation satellite enabled with metamaterial-based image sensors K. Alici https://doi.org/10.1080/09500340.2024.2381081
28. Improving Agile Satellite Image Geometry with Light Aberration and Atmospheric Refraction Corrections P. Tao et al. https://doi.org/10.1109/JSTARS.2026.3702697
29. Annual to seasonal glacier mass balance in High Mountain Asia derived from Pléiades stereo images: examples from the Pamir and the Tibetan Plateau D. Falaschi et al. https://doi.org/10.5194/tc-17-5435-2023
30. Coastal Flooding Caused by Extreme Coastal Water Level at the World Heritage Historic Keta City (Ghana, West Africa) E. Brempong et al. https://doi.org/10.3390/jmse11061144
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34. A Relief Dependent Evaluation of Digital Elevation Models on Different Scales for Northern Chile T. Kramm & D. Hoffmeister https://doi.org/10.3390/ijgi8100430
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41. Geodetic mass balance of Abramov Glacier from 1975 to 2015 F. Denzinger et al. https://doi.org/10.1017/jog.2020.108
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43. Estimation of Forest Crown Density Using Pleiades Satellite Data and Nonparametric Classification Method S. Kalbi et al. https://doi.org/10.1007/s12524-018-0771-5
44. Advancing agricultural remote sensing: A comprehensive review of deep supervised and Self-Supervised Learning for crop monitoring M. da Silva et al. https://doi.org/10.1016/j.cag.2025.104434
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47. Deep Learning-Based Fusion of Optical, Radar, and LiDAR Data for Advancing Land Monitoring Y. Li & X. Xiao https://doi.org/10.3390/s25164991
48. Measuring glacier mass changes from space—a review E. Berthier et al. https://doi.org/10.1088/1361-6633/acaf8e
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50. Atmospheric Refraction Calibration of Geometric Positioning for Optical Remote Sensing Satellite Y. Wang et al. https://doi.org/10.1109/LGRS.2019.2963626
51. Image motion analysis and compensation for dynamic push-broom imaging with TDI detectors Y. He et al. https://doi.org/10.1364/AO.519874
52. Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning C. Cruz et al. https://doi.org/10.1007/s10661-024-12998-0
53. Fuzzy Sliding Mode Control of Nonparallel-ground-track Imaging Satellite with High Precision D. Ye et al. https://doi.org/10.1007/s12555-018-0369-2
54. Efficient and fair PPO-based integrated scheduling method for multiple tasks of SATech-01 satellite Q. SHI et al. https://doi.org/10.1016/j.cja.2023.10.011
55. The 2014 Effusive Eruption at Stromboli: New Insights from In Situ and Remote-Sensing Measurements F. Di Traglia et al. https://doi.org/10.3390/rs10122035
56. Agile Earth Observation Satellite Scheduling Over 20 Years: Formulations, Methods, and Future Directions X. Wang et al. https://doi.org/10.1109/JSYST.2020.2997050
57. Glacier topography and elevation changes derived from Pléiades sub-meter stereo images E. Berthier et al. https://doi.org/10.5194/tc-8-2275-2014
58. Tree counting of tropical tree plantations using the maximum probability spectral features of high-resolution satellite images and drones I. Sari et al. https://doi.org/10.1016/j.geomat.2024.100045
59. MCANet: A Multi-Branch Network for Cloud/Snow Segmentation in High-Resolution Remote Sensing Images K. Hu et al. https://doi.org/10.3390/rs15041055
60. Optimal Agile Satellite Target Scheduling with Learned Dynamics M. Stephenson & H. Schaub https://doi.org/10.2514/1.A36097
61. Pléiades Tri-Stereo Data for Glacier Investigations—Examples from the European Alps and the Khumbu Himal L. Rieg et al. https://doi.org/10.3390/rs10101563
62. Improving the Spatial Distribution of Snow Cover Simulations by Assimilation of Satellite Stereoscopic Imagery C. Deschamps‐Berger et al. https://doi.org/10.1029/2021WR030271
63. Numerical study of satellite images in the presence of fifth-order aberrations and tri-arm fractal sparse apertures K. Alici https://doi.org/10.1117/1.OE.62.12.123104
64. Thermal refocusing method for spaceborne high-resolution optical imagers O. Selımoglu et al. https://doi.org/10.1364/AO.55.004109