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Infrared Imaging and NDT [PDF]
Applied Sciences, 2021 Infrared thermography has become a mature and widely accepted technology with applications in many different fields, from medical to industrial [...]
Rubén Usamentiaga, Pablo Venegas
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Sensors, 2023 The features of measurement and process noise are directly related to the optimal performance of the cubature Kalman filter. The maneuvering target model’s high level of uncertainty and non-Gaussian mean noise are typical issues that the radar tracking ...
Xiangzhou Ye +4 more
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Borrow from Source Models: Efficient Infrared Object Detection with Limited Examples
Applied Sciences, 2022 Recent deep models trained on large-scale RGB datasets lead to considerable achievements in visual detection tasks. However, the training examples are often limited for an infrared detection task, which may deteriorate the performance of deep detectors ...
Ruimin Chen +4 more
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Low-Altitude Infrared Slow-Moving Small Target Detection via Spatial-Temporal Features Measure
Sensors, 2022 Robust detection of infrared slow-moving small targets is crucial in infrared search and tracking (IRST) applications such as infrared guidance and low-altitude security; however, existing methods easily cause missed detection and false alarms when ...
Jing Mu +3 more
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Infrared Image Superpixel Segmentation Based on Seed Strategy of Contour Encoding
Applied Sciences, 2022 Superpixel segmentation has become a crucial pre-processing tool to reduce computation in many computer vision applications. In this paper, a superpixel extraction algorithm based on a seed strategy of contour encoding (SSCE) for infrared images is ...
Weihua Li +3 more
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Infrared Small Target Detection Based on Weighted Local Coefficient of Variation Measure
Sensors, 2022 Robust infrared (IR) small target detection is critical for infrared search and track (IRST) systems and is a challenging task for complicated backgrounds.
Junmin Rao +3 more
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Remote Sensing, 2023 Hyperspectral anomaly detection (HAD) is an important application of hyperspectral images (HSI) that can distinguish anomalies from background in an unsupervised manner.
Shuai Lv +5 more
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Compression of Infrared images [PDF]
Electronic Imaging, 2017 This paper investigates the compression of infrared images with three codecs: JPEG2000, JPEG-XT and HEVC. Results are evaluated in terms of SNR, Mean Relative Squared Error (MRSE) and the HDR-VDP2 quality metric. JPEG2000 and HEVC perform fairy similar and better than JPEG-XT.
Claire Mantel, Søren Forchhammer
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Remote Sensing, 2023 The observed radiation data from the second-generation Hyperspectral Infrared Atmospheric Sounder (HIRAS-II) on the Fengyun-3E (FY-3E) satellite contain useful vertical atmosphere information which can distinguish and retrieve vertical profiles of ...
Han Li +5 more
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Statistics of Infrared Images [PDF]
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007 The proliferation of low-cost infrared cameras gives us a new angle for attacking many unsolved vision problems by leveraging a larger range of the electromagnetic spectrum. A first step to utilizing these images is to explore the statistics of infrared images and compare them to the corresponding statistics in the visible spectrum.
Nigel J. W. Morris +3 more
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