The comparison of single-band and dual-band infrared detection of small targets

Yang, Kaiheng; Ma, Yong-Hui; Guo, Juguang; Liu, Zheng

doi:10.1117/12.2245060

Cited by 2 publications

(1 citation statement)

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“…Zhou et al [29] applied joint sparse representation in dual-band dim target detection, which achieves better detection performance, yet is also time consuming. Yang et al [30] found that dual-band detection can extract the apparent area and equivalent temperature of a small target, while a single-band infrared detector can only get the radiation intensity information. Yu et al [31] proved that the probability of detection based on dual-band optimization is obviously better than that of any single-band detector relying on the NP criterion, and the traditional morphological Top-hat algorithm was adopted to simulate man-made targets for detection fusion.…”

Section: Introductionmentioning

confidence: 99%

An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model

et al. 2018

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Aerial infrared point target detection under nonstationary background clutter is a crucial yet challenging issue in the field of remote sensing. This paper presents a novel omnidirectional multiscale morphological method for aerial point target detection based on a dual-band model. Considering that the clutter noise conforms to the Gaussian distribution, the single-band detection model under the Neyman-Pearson (NP) criterion is established first, and then the optimal fused probability of detection under the dual-band model is deduced according to the And fusion rule. Next, the omnidirectional multiscale morphological Top-hat algorithm is proposed to extract all the possible targets distributing in every direction, and the local difference criterion is employed to eliminate the residual background edges further. The dynamic threshold-to-noise ratio (TNR) is adjusted to obtain the optimal probability of detection under the constant false alarm rate (CFAR) criterion. Finally, the dim point target is extracted after dual-band data correlation. The experimental result demonstrates that the proposed method achieves a high probability of detection and performs well with respect to suppressing complex background when compared with common algorithms. In addition, it also has the advantage of low complexity and easy implementation in real-time systems.

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Section: Introductionmentioning

confidence: 99%

An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model

et al. 2018

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Radiometric thermometry of point targets based on dual-band infrared imaging

Yang,

Sun,

et al. 2024

Appl. Opt.

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The observation area of a point target, which is usually inaccessible, is a necessary condition when utilizing the conventional single-band infrared radiometric thermometry method, as the image gray level inevitably undergoes dispersion. Otherwise, significant errors will be generated, seriously affecting the applicability of infrared radiometric thermometry for distant point targets in the external field. To address the above issue, the infrared radiometric thermometry method for point targets has been researched. A point target radiometric thermometry method based on dual-band infrared imaging is proposed, which can effectively measure radiance and temperature when the area of the point target is unknown. The experimental results show that, compared with conventional single-band algorithms, the proposed dual-band point target thermometry algorithm has a maximum error of 11.18°C under the condition of unknown area, which can meet the needs of infrared radiometric thermometry of point targets at long distances in the external field.

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The comparison of single-band and dual-band infrared detection of small targets

Cited by 2 publications

References 0 publications

An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model

An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model

Radiometric thermometry of point targets based on dual-band infrared imaging

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