Transferable Targeted Adversarial Attack on Synthetic Aperture Radar (SAR) Image Recognition by Sheng Zheng, Dongshen Han, Chang Lu, Chaowen Hou, Yanwen Han, Xinhong Hao, Chaoning Zhang

“…However, recent studies show that optical image recognition models are widely vulnerable to adversarial examples, which fool the models by adding imperceptible perturbation to the input. …”
Get full text

Visualizing and quantifying biomineral preservation in fossil vertebrate dental remains by Matthew B. Cowen, Marc de Rafélis, Loïc Ségalen, Benjamin P. Kear, Maïtena Dumont, Živilė Žigaitė

“…We present visual comparisons of elemental compositions in fish and plesiosaur dental remains ranging in age from Silurian to Cretaceous, based on a combination of micro-scale optical cathodoluminescence (CL) observations (optical images and scanning electron microscope) with in-situ minor, trace and rare earth element (REE) compositions (EDS, maps and REE profiles), as a tool for assessing diagenetic processes and biomineral preservation during fossilization of vertebrate dental apatite. …”
Get full text

Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques by Ozan Demir, Metin Aktas, Ender M. Eksioglu

“…In recent years, with the increasing interest in marine research, the need to collect and process clear underwater optical images has become crucial. However, underwater images suffer from the absorption and scattering effects of the environment. …”
Get full text

Global Maps of Equatorial Plasma Bubbles Depletions Based on FORMOSAT‐7/COSMIC‐2 Ion Velocity Meter Plasma Density Observations by Irina Zakharenkova, Iurii Cherniak, John J. Braun, Qian Wu

“…Also, we demonstrate the good performance of the FORMOSAT‐7/COSMIC‐2 IVM‐based Bubble Maps when compared to optical images and ground‐based ionosonde observations.…”
Get full text

Investigation of snow cover changes affected by climate change In North West of Iran by Ebrahim Fattahi, shookat moghimi

“…In this study in order to monitor snow cover, the Moderate Resolution Imaging Spectroradiometer (MODIS) optical images were used, while for detection of snow covered areas, the  snow index-NDSI, was applied. …”
Get full text

Advancing neutron imaging techniques to highest resolution with fluorescent nuclear track detectors by Abdul Muneem, Junya Yoshida, Takehiko R. Saito, Hiroyuki Ekawa, Masahiro Hino, Katsuya Hirota, Go Ichikawa, Ayumi Kasagi, Masaaki Kitaguchi, Kenji Mishima, Jameel-Un Nabi, Manami Nakagawa

“…The measured resolution was 0.887 ± 0.009 $$\upmu$$ m, which is the 1 $$\sigma$$ 10–90% edge response obtained using optical images of the fluorescent nuclear track detectors.…”
Get full text

Underwater Sonar Image Classification with Image Disentanglement Reconstruction and Zero-Shot Learning by Ye Peng, Houpu Li, Wenwen Zhang, Junhui Zhu, Lei Liu, Guojun Zhai

“…The first encoder is responsible for extracting the structure vectors of the optical images and the texture vectors of the sonar images; the decoder is in charge of combining the above vectors to generate the pseudo-sonar images; and the second encoder is in charge of disentangling the pseudo-sonar images. …”
Get full text

Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

“…The majority of the AI applications in dentistry are for diagnosis based on radiographic or optical images, while other tasks are not as applicable as image-based tasks mainly due to the constraints of data availability, data uniformity, and computational power for handling 3D data. …”
Get full text

Mapping hierarchical wetland characteristics by optical-SAR integration with collaborative spatial-spectral-temporal learning by Linwei Yue, Meiyue Wang, Chengpeng Huang, Qing Cheng, Qiangqiang Yuan, Huanfeng Shen

“…Within the network, two parallel branches are designed to collaboratively learn the spatial, spectral or polarized, and temporal dependencies in the optical image and SAR image time series, respectively. …”
Get full text

A Candidate High-velocity Exoplanet System in the Galactic Bulge by Sean K. Terry, Jean-Philippe Beaulieu, David P. Bennett, Aparna Bhattacharya, Jon Hulberg, Macy J. Huston, Naoki Koshimoto, Joshua W. Blackman, Ian A. Bond, Andrew A. Cole, Jessica R. Lu, Clément Ranc, Natalia E. Rektsini, Aikaterini Vandorou

“…We present an analysis of adaptive optics images from the Keck I telescope of the microlensing event MOA-2011-BLG-262. …”
Get full text

Evolution of plastic deformation during multi-pass ECAP of an AA6060 aluminum alloy – An experimental flow line analysis by Nadja Berndt, Nadja A. Reiser, Martin F.-X. Wagner

“…., flow lines, are analyzed from the partially deformed billets using optical images and a graphics software. For the analysis of the material flow we use a phenomenological model that describes the material path along the flow line based on a super-ellipse function, with only one parameter defining the evolution of curvature along the flow line. …”
Get full text

Utilization of bark extract of Phyllanthus emblica as a sustainable corrosion inhibitor to reinforced concrete infrastructures in aggressive environments by Gautam Madhab, Subedi Dhruba B., Dhungana Jivan R., Bhattarai Nootan P., Bhattarai Jagadeesh

“…., normal, industrial and marine). Optical image analysis of the ReMS supported the electrochemical findings. …”
Get full text

Rice Identification and Spatio-Temporal Changes Based on Sentinel-1 Time Series in Leizhou City, Guangdong Province, China by Kaiwen Zhong, Jian Zuo, Jianhui Xu

“…Due to the limited availability of high-quality optical images during the rice growth period in the Lingnan region of China, effectively monitoring the rice planting situation has been a challenge. …”
Get full text

CAIL: Cross-Modal Vehicle Reidentification in Aerial Images Using the Centroid-Aligned Implicit Learning Network by Haoran Gao, Yiming Yan, Yanming He, Jianzheng Zhou, Zhengning Zhang, Yunchao Yang

“…However, there are significant geometric distortions and radiometric differences between optical images and SAR images, which limit the effectiveness of multimodal image matching. …”
Get full text

Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis by Feras Al-Obeidat, Wael Hafez, Wael Hafez, Asrar Rashid, Mahir Khalil Jallo, Munier Gador, Ivan Cherrez-Ojeda, Ivan Cherrez-Ojeda, Daniel Simancas-Racines

“…Microscopic blood tests are the most common methods for identifying leukemia subtypes. An automated optical image-processing system using artificial intelligence (AI) has recently been applied to facilitate clinical decision-making.AimTo evaluate the performance of all AI-based approaches for the detection and diagnosis of acute myeloid leukemia (AML).MethodsMedical databases including PubMed, Web of Science, and Scopus were searched until December 2023. …”
Get full text

Impedance mapping with high-density microelectrode array chips reveals dynamic heterogeneity of in vitro epithelial barriers by Alessandra Venz, Bastien Duckert, Liesbet Lagae, Saeedeh Ebrahimi Takalloo, Dries Braeken

“…The |Z| 1kHz maps of proliferating Caco-2 cells and the differentiating epithelial tissue developing 3D domes aligned with the corresponding optical images at cellular resolution, which demonstrates the capability of the chip in tracking the dynamic heterogeneity of Caco-2 tissues in a label free and real-time fashion. …”
Get full text

Revisiting Cosa (Ansedonia, Italy): contributions of SAR-X images from the PAZ satellite to non-invasive archaeological prospecting by José Ignacio Fiz Fernández, Pere Manel Martín Serrano, Maria Mercè Grau Salvat, Antoni Cartes Reverté

“… • The possibilities of using PAZ images treated multi-temporally as a high-resolution panchromatic image applicable to multispectral optical images of the type Sentinel-2 were tested. …”
Get full text

SAR-PATT: A Physical Adversarial Attack for SAR Image Automatic Target Recognition by Binyan Luo, Hang Cao, Jiahao Cui, Xun Lv, Jinqiang He, Haifeng Li, Chengli Peng

“…Deep neural network-based synthetic aperture radar (SAR) automatic target recognition (ATR) systems are susceptible to attack by adversarial examples, which leads to misclassification by the SAR ATR system, resulting in theoretical model robustness problems and security problems in practice. Inspired by optical images, current SAR ATR adversarial example generation is performed in the image domain. …”
Get full text