Saliency and superpixel improved detection and segmentation of concealed objects for passive terahertz images-Reference-Cited by-同舟云学术

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Saliency and superpixel improved detection and segmentation of concealed objects for passive terahertz images

Published:2023-02-17 Issue:02 Volume:62 Page:
ISSN:0091-3286
Container-title:Optical Engineering
language:
Short-container-title:Opt. Eng.

Author:

Chandel Sushmita¹,Bhatnagar Gaurav¹,Kowalski Marcin²

Affiliation:

1. IIT Jodhpur, Department of Mathematics, Jodhpur, Rajasthan, India

2. Military University of Technology, Institute of Optoelectronics, Warsaw, Poland

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel framework for concealed weapons detection using passive terahertz imaging;Nondestructive Testing and Evaluation;2024-09-11

2. Research on measurement technology of terahertz beam divergence angle;Optical Engineering;2024-05-25

3. The Transmission Characteristics of Micrometer-Scale Materials in the Terahertz Frequency Range;Springer Proceedings in Physics;2024

4. Hidden Object Detection Based on Probabilistic Fuzzy Fusion and Fisher Vectors in Passive Millimeter-Wave Images;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

5. 用于被动太赫兹成像检测的多极化图像评估;Laser & Optoelectronics Progress;2023

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