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

Detection filters and algorithm fusion for ATR.

D Casasent1, A Ye

  • 1Dept. of Electr. and Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA.

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

Population-Based Outcomes of Single-Fraction Stereotactic Ablative Radiotherapy for Early Stage Non-small Cell Lung Cancer.

Clinical oncology (Royal College of Radiologists (Great Britain))·2026
Same author

Preconception antiphospholipid antibodies and risk of subsequent early pregnancy loss.

Lupus·2018
Same author

Associations between urinary phthalate concentrations and semen quality parameters in a general population.

Human reproduction (Oxford, England)·2015
Same author

Iron binding to caseins in the presence of orthophosphate.

Food chemistry·2015
Same author

Influence of calcium depletion on iron-binding properties of milk.

Journal of dairy science·2015
Same author

The influence of sporadic anovulation on hormone levels in ovulatory cycles.

Human reproduction (Oxford, England)·2013
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

This study introduces novel detection algorithms for identifying objects in complex scenes, even with distortions. Fusing algorithm outputs enhances detection accuracy and reduces false alarms in infrared imagery.

Area of Science:

  • Computer Vision
  • Image Processing
  • Artificial Intelligence

Background:

  • Object detection is crucial for automatic target recognition.
  • Challenges include object distortions and contrast variations.
  • Analyzing every scene region is computationally intensive.

Purpose of the Study:

  • To develop new detection algorithms for object recognition.
  • To fuse outputs from multiple algorithms to improve performance.
  • To reduce the probability of false alarms (P(FA)) while maintaining high probability of detection (P(D)).

Main Methods:

  • Development of novel detection algorithms.
  • Fusion techniques applied to combine algorithm outputs.
  • Focus on detecting obscured targets in infrared (IR) imagery.

Related Experiment Videos

Main Results:

  • Improved detection performance through algorithm fusion.
  • Significant reduction in false alarm rates.
  • High probability of detection maintained for challenging targets.

Conclusions:

  • Algorithm fusion is effective for robust object detection.
  • The proposed methods enhance automatic target recognition capabilities.
  • Successful detection of obscured targets in infrared imagery is demonstrated.