Issue
Natl Sci Open
Volume 3, Number 5, 2024
Special Topic: Microwave Vision and SAR 3D Imaging
Article Number 20230082
Number of page(s) 10
Section Information Sciences
DOI https://doi.org/10.1360/nso/20230082
Published online 29 April 2024
  • Moreira A, Prats-Iraola P, Younis M, et al. A tutorial on synthetic aperture radar. IEEE Geosci Remote Sens Mag 2013; 1: 6-43. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Massonnet D, Feigl KL. Radar interferometry and its application to changes in the Earth’s surface. Rev Geophys 1998; 36: 441-500. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Xing M, Pascazio V, Yu H. A Special Issue on Synthetic Aperture Radar Interferometry [From the Guest Editors]. IEEE Geosci Remote Sens Mag 2020; 8: 6-7. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Rosen PA, Hensley S, Joughin IR, et al. Synthetic aperture radar interferometry. Proc IEEE 2000; 88: 333-382. [Article] [CrossRef] [Google Scholar]
  • Yu H, Xing M, Yuan Z. Baseline design for multibaseline InSAR system: A review. IEEE J Miniat Air Space Syst 2021; 2: 17-24. [Article] [CrossRef] [Google Scholar]
  • Zebker HA, Goldstein RM. Topographic mapping from interferometric synthetic aperture radar observations. J Geophys Res 1986; 91: 4993-4999. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Hu FM, Wang F, Yu HW, et al. Asymptotic 3-D phase unwrapping for very sparse airborne array insar images. IEEE Trans Geosci Remote Sens 2022; 60: 1-15. [CrossRef] [Google Scholar]
  • Cai H, Yang Z, Cao X, et al. A new iterative triclass thresholding technique in image segmentation. IEEE Trans Image Process 2014; 23: 1038-1046. [Article] [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
  • Ziou D, Tabbone S. Edge detection techniques—An overview. Распознавание образов и анализ изображен/Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications 1998; 8: 537-559. [Google Scholar]
  • Pappas TN, Jayant NS. An adaptive clustering algorithm for image segmentation. In: Proceedings of the International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1989. 1667-1670. [Google Scholar]
  • Abinash S, Pattnaik S. An experimental study of graph theory-based image segmentation techniques to improve graph cut algorithm. AIP Conf Proc 2022; 2481: 020001. [NASA ADS] [CrossRef] [Google Scholar]
  • Omati M, Sahebi MR. Markov random field-based segmentation algorithm for detection of land cover changes using uninhabited aerial vehicle synthetic aperture radar polarimetric images. Int J Comput Inf Eng 2017; 11: 873-877. [Google Scholar]
  • Chen X, Zheng C, Yao H, et al. Image segmentation using a unified Markov random field model. IET Image Process 2017; 11: 860-869. [Article] [CrossRef] [Google Scholar]
  • Qiu XL, Jiao ZK, Yang ZL. Key technology and preliminary progress of microwave vision 3D SAR experimental system. J Radars 2022; 11: 1-19. [Google Scholar]
  • Likas A, Vlassis N, Verbeek JJ. The global k-means clustering algorithm. Pattern Recognit 2003; 36: 451-461. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Zhang H. The optimality of naive Bayes. In: Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004). 2004. [Google Scholar]
  • Moon TK. The expectation-maximization algorithm. IEEE Signal Process Mag 1996; 13: 47-60. [Article] [CrossRef] [Google Scholar]
  • Zhong P. Image segmentation based on Markov random fields with adaptive neighborhood systems. Opt Eng 2006; 45: 097202. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  • Ribeiro MI. Gaussian probability density functions: Properties and error characterization. Institute for Systems and Robotics, Lisboa, 2004. [Google Scholar]
  • Hanssen RF. Radar Interferometry: Data Interpretation and Error Analysis. Dissertation for Doctoral Degree. Delft: Delft University of Technology, 2001. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.