Article
Optics
Gokul Krishnan, Rakesh Joshi, Timothy O'Connor, Bahram Javidi
Summary: This study presents a method for detecting optical signals in turbid water and occluded environments using multidimensional integral imaging and deep learning techniques. Experimental results demonstrate that this approach significantly outperforms previous methods and traditional 2D imaging techniques in signal detection.
Article
Optics
Yinuo Huang, Gokun Krishnan, Timothy O'Connor, Rakesh Joshi, Bahram Javidi
Summary: This study proposes an approach for underwater optical signal detection using one-dimensional (1D) integral imaging technology. The captured video frames are fed into a convolutional neural network (CNN) for signal detection without the need for depth estimation and 3D scene reconstruction, improving detection speed and performance.
Article
Environmental Sciences
Donghui Shi, Yishao Shi, Qiusheng Wu
Summary: This study proposed a multidimensional assessment framework for evaluating water provisioning ecosystem services and applied it to assess lake water ecosystem services in Minnesota. The findings showed degradation in water provisioning ecosystem services over 1998-2018, with different levels of severity in different regions, and a greater impact of human activities compared to climate changes. The results can help policymakers prioritize protection, conservation, and restoration of lake ecosystems and the framework can be adapted for evaluating ecosystem services in other regions.
Article
Biochemical Research Methods
To Ni Phan Van, Trung Nghia Tran, Hiroshi Inujima, Koichi Shimizu
Summary: This study introduced a new technique using near-infrared light and deep learning principles to obtain clearer images of structures in turbid media, offering a new tool for imaging animal bodies and biometric authentication of human bodies.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Geochemistry & Geophysics
Jinzhao Xiang, Tingwei Cui, Song Qing, Rongjie Liu, Yanlong Chen, Bing Mu, Xiaobo Zhang, Wenjing Zhao, Yi Ma, Jie Zhang
Summary: A new model is proposed to retrieve water clarity (Z(SD)) in clear oceanic to extremely turbid coastal waters. The model shows good performance on multiple sensors and has the potential to support sustainable management of global oceans.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Review
Chemistry, Multidisciplinary
Klaus Koren, Silvia E. Zieger
Summary: Optodes are flexible tools for chemical imaging that can visualize analytes in complex environments with spatial and temporal accuracy. Despite their wide applications in fields such as medical, environmental, and material sciences, there is still untapped potential in this technology that requires overcoming challenges and exploring new avenues for development.
Article
Computer Science, Artificial Intelligence
Lingfeng Liu, Dong Ni, Liankui Dai
Summary: This work proposes an autoencoder structured hybrid optical-electrical neural network method to address the issue of extensive data flow in real-time anomaly detection in hyperspectral imaging. The method utilizes a digital micromirror device as the core optical processor to extract low-level features and employs weight binarization and a conditional subnetwork for optical computation. Case studies have shown that the proposed method significantly reduces sampling time without compromising detection accuracy.
IEEE INTELLIGENT SYSTEMS
(2023)
Article
Optics
Xin Yang, Yang Liu, Xinyue Mou, Tianyu Hu, Fei Yuan, En Cheng
Summary: Underwater imaging is challenging due to noise and scattering in water. Conventional optical methods struggle with low sensitivity, geometric aberrations, and narrow detector spectra. Single-pixel imaging offers promise in poor visibility, but faces challenges in highly turbid water. The proposed Hadamard single-pixel imaging system shows superior performance in turbid water, with higher resolution and anti-scattering capabilities compared to existing SPI techniques.
Article
Engineering, Electrical & Electronic
Zhenshi Sun, Kun Liu, Tianhua Xu, Yingzhao Xu, Weiwei Fang, Kang Xue, Yuelang Huang, Sichen Li, Tiegen Liu
Summary: An effective and scalable feature engineering method using vibration time-frequency imaging and deep learning has been proposed in this study, showing higher accuracy and efficiency in intelligent sensing analysis for fiber-optic vibration-sensing applications.
IEEE SENSORS JOURNAL
(2022)
Article
Environmental Sciences
Yunxia Du, Kaishan Song, Ge Liu
Summary: This study uses satellite remote sensing data to classify water bodies into three optical types based on unsupervised cluster analysis. The results show that each optical water type is associated with different bio-optical properties.
Article
Engineering, Electrical & Electronic
Jun Chen, Wenting Quan, Hongtao Duan, Qianguo Xing, Na Xu
Summary: Accurately estimating intrinsic optical properties (IOPs) is crucial for understanding long-term global climate change effects on aquatic ecosystems. The study utilized a combination of near-infrared and visible wavelength bands to adjust the IOPs data processing system, resulting in more effective IOPs estimation for oceanic and inland waters. The near-infrared band played a significant role in retrieving IOPs from highly turbid waters and removing residual errors in satellite remote sensing data.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Optics
Yuhu Ren, Jimo Jian, Delai Kong, Jing Wang, Wenjiang Tan, Wei Xia
Summary: In this study, time-resolved imaging of an object in a turbid medium was demonstrated using ultrafast optical Kerr gate (OKG) of liquid carbon disulfide (CS2), improving the visibility and contrast of the image. The delay time between the imaging pulse and gating pulse plays a key role in the efficiency of ultrafast OKG imaging of CS2 through a turbid medium, with a relatively wide delay time range for obtaining high contrast images.
OPTICS AND LASER TECHNOLOGY
(2021)
Article
Biochemical Research Methods
Ning Zhang, Quan Zhang, Arto Nurmikko
Summary: We present an ultra-high-density diffuse optical tomography system that can accommodate thousands of combinatorial source-detector pairs per cubic centimeter. We demonstrate high-resolution imaging of dynamic targets in turbid media at a fast frame rate. Additionally, we introduce mm-size dense semiconductor laser array chips as potential unobtrusive epidermal tomographic sources for wearable devices.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Engineering, Multidisciplinary
Jianguo Ma, Xiangdong Ma, Lijun Xu
Summary: This review paper introduces the advanced ultrasound sensing capabilities required for cutting-edge biomedical ultrasound imaging, and gives a detailed review of state-of-the-art optical ultrasound sensing modalities, which hold significant potential for advanced biomedical ultrasound imaging.
Article
Engineering, Mechanical
Sergei Mikhailov, Jeroen van Wittenberghe, Geert Luyckx, Philippe Thibaux, Thomas Geernaert, Francis Berghmans
Summary: In this study, we demonstrated the application of distributed fiber optic strain sensing based on optical frequency-domain reflectometry for early detection and location of fatigue cracks in welds in steel tubular test specimens. By subjecting the specimens to resonant bending load and continuously measuring the strain distributions with high resolution, we successfully detected and located fatigue cracks originating from the inner surface of the specimens in real time. The detection of crack initiation may provide relevant information for estimating the remaining lifetime of the component.
INTERNATIONAL JOURNAL OF FATIGUE
(2023)
