1. Despeckling of SAR Images Using Residual Twin CNN and Multi-Resolution Attention MechanismBlaž Pongrac, Dušan Gleich, 2023, original scientific article Abstract: The despeckling of synthetic aperture radar images using two different convolutional neural network architectures is presented in this paper. The first method presents a novel Siamese convolutional neural network with a dilated convolutional network in each branch. Recently, attention mechanisms have been introduced to convolutional networks to better model and recognize features. Therefore, we propose a novel design for a convolutional neural network using an attention mechanism for an encoder–decoder-type network. The framework consists of a multiscale spatial attention network to improve the modeling of semantic information at different spatial levels and an additional attention mechanism to optimize feature propagation. Both proposed methods are different in design but they provide comparable despeckling results in subjective and objective measurements in terms of correlated speckle noise. The experimental results are evaluated on both synthetically generated speckled images and real SAR images. The methods proposed in this paper are able to despeckle SAR images and preserve SAR features.
Keywords: synthetic aperture radar, speckle, speckle suppression, despeckling, deep learning, convolutional neural network
Published in DKUM: 21.02.2024; Views: 280; Downloads: 24
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3. 2D speckle-tracking in assessment of myocardial strain in children with hypertrophic cardiomyopathyNadezhda Chernykh, Alla Tarasova, Olga Groznova, 2021, original scientific article Keywords: 2D sledenje ultrazvočnega vzorca., deformacija miokarda, ehokardiografija, hipertrofična kardiomiopatija, zgodnja diagnoza, zdravljenje, otrok, 2D speckle tracking, strain, echocardiography, hypertrophic cardiomyopathy, early diagnosis, treatment, children
Published in DKUM: 22.01.2023; Views: 606; Downloads: 60
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4. Unobtrusive heartbeat monitoring by using a bed fiber-optic sensorPeter Podbreznik, Denis Đonlagić, Dejan Lešnik, Boris Cigale, Damjan Zazula, 2014, original scientific article Abstract: Demographic trends suggest that by 2050 approximately 11 % of the world population will be 80 or older. If a fast increase of chronic diseases is also considered, it becomes clear the present healthcare capacities won't be enough. The elderly and people with limited abilities must be assisted in their home environment and, thus, reduce needs for hospitalization and institutionalization. Today's computer and communication technologies provide different smart devices, which is a core of emerging intensification of homecare services, in particular remote and unobtrusive monitoring of human functional- health parameters.
Keywords: plastic optical fiber, speckle interferometry, unobtrusive monitoring of human vital signs, heartbeat detection, ballistocardiography
Published in DKUM: 21.12.2015; Views: 1669; Downloads: 113
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5. Unobtrusive monitoring of human vital functions based on speckle interferometry with plastic optical fiberPeter Podbreznik, Denis Đonlagić, Dejan Lešnik, Boris Cigale, Damjan Zazula, 2013, original scientific article Abstract: In this paper, a speckle interferometer with a plastic optical fiber system is reported for unobtrusive monitoring of heartbeat and respiration. The sensor consists of a laser diode butt-coupled to the plastic optical fiber, whose exit face projects speckle patterns onto a linear optical sensor array, which leads to a simple and cost-effective construction. Speckle images are acquired in a sequence and transformed into a 1D signal by using a phase-shifting method. Band-pass filtering and Morlet-wavelet-based multiresolutional approaches were used to analyze signals for the detection of cardiac and respiratory activities, respectively. Ten young, healthy persons participated in system testing, by lying supine on a mattress with embedded plastic optical fiber. Experimental results show the proposed system and detection algorithms are highly efficient. Sensitivities of 99.4 0.6% and 95.3 3%, precisions of 98.8 1.5% and 97.9 2.3%, and mean delays between interferometric detections and corresponding referential signals of 116.6 55.5ms and 1299.2 437.3 ms were computed for heartbeat and respiration, respectively.
Keywords: plastic optical fiber, speckle interferometry, unobtrusive monitoring, heartbeat detection, respiration detection, phase-shift method, wavelet transform
Published in DKUM: 10.07.2015; Views: 1661; Downloads: 18
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