Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Maximum-likelihood multiresolution laser radar range imaging.

D R Greer1, I Fung, J H Shapiro

  • 1Dept. of Electr. Eng. and Comput. Sci., MIT, Cambridge, MA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1997
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Noise sources in laser radar systems.

Applied optics·2010
Same author

Heterodyne mixing efficiency for detector arrays.

Applied optics·2010
Same author

Optical autodyne detection: theory and experiment.

Applied optics·2010
Same author

Precise comparison of experimental and theoretical SNRs in CO(2) laser heterodyne systems: comments.

Applied optics·2010
Same author

Turbulence effects on coherent laser radar target statistics.

Applied optics·2010
Same author

Target-reflectivity theory for coherent laser radars.

Applied optics·2010
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Semantic Frame Interpolation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Maximum-likelihood range imaging uses the expectation-maximization (EM) algorithm for precise laser radar data analysis. This method efficiently refines resolution for accurate imaging, approaching theoretical performance limits.

Area of Science:

  • * Applied physics
  • * Signal processing
  • * Computational imaging

Background:

  • * Coherent laser radar systems are crucial for remote sensing and imaging.
  • * Accurate range imaging is essential for interpreting laser radar data.
  • * Existing methods may lack computational efficiency or robustness.

Purpose of the Study:

  • * To develop a maximum-likelihood range imaging procedure for pulsed laser radar.
  • * To apply the expectation-maximization (EM) algorithm for multiresolution data fitting.
  • * To evaluate the efficiency and accuracy of the proposed method.

Main Methods:

  • * Employed the expectation-maximization (EM) algorithm for maximum-likelihood fitting.
  • * Utilized a multiresolution (wavelet) basis, specifically the Haar-wavelet basis.

Related Experiment Videos

  • * Analyzed algorithm properties and performance using simulated and real laser radar data.
  • Main Results:

    • * Developed a computationally efficient and numerically robust range imaging procedure.
    • * Demonstrated that EM algorithm weights reliably indicate the optimal resolution stopping point.
    • * Achieved estimation performance close to the complete-data bound at the determined stopping point.

    Conclusions:

    • * The proposed EM-based maximum-likelihood range imaging is effective for pulsed laser radar.
    • * The Haar-wavelet basis specialization offers significant computational and robustness advantages.
    • * Weight-based termination criteria ensure optimal performance and approach theoretical limits.