98%
921
2 minutes
20
This paper presents a high-resolution, single-photon LiDAR imaging camera capable of performing simultaneous depth and color estimation. It features a time-gated CMOS single-photon avalanche diode detector array with a large fill-factor, integrated with a metasurface-based plasmonic color filter array for three-dimensional color imaging. A sliding detector gate enables millimeter-scale depth resolution using as few as two binary planes per step, and high-fidelity color reconstruction is demonstrated from as few as two photons per pixel. This compact, photon-efficient system offers depth-sensitive, multispectral imaging possibilities for many diverse applications such as space exploration, autonomous navigation, augmented/virtual reality, and biomedical imaging.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1364/OE.566676 | DOI Listing |
Neural Netw
August 2025
School of Mathematics and Statistics, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, Shaanxi, 710049, China. Electronic address: http://gr.xjtu.edu.cn/web/jszhang.
Pan-sharpening, fusing high-resolution panchromatic (PAN) images with low-resolution multispectral (LRMS) to generate high-resolution multispectral (HRMS) images, is critical for enhancing remote sensing image quality. Despite significant advancements in deep learning methods, research on the image upsampling process remains limited. Existing approaches either fail to effectively utilize the information from PAN images or struggle to balance spectral and spatial information, thereby constraining the performance of these models.
View Article and Find Full Text PDFPlants (Basel)
August 2025
College of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450000, China.
This study presents an innovative unmanned aerial vehicle (UAV)-based intelligent detection method utilizing an improved Faster Region-based Convolutional Neural Network (Faster R-CNN) architecture to address the inefficiency and inaccuracy inherent in manual wheat spike counting. We systematically collected a high-resolution image dataset (2000 images, 4096 × 3072 pixels) covering key growth stages (heading, grain filling, and maturity) of winter wheat ( L.) during 2022-2023 using a DJI M300 RTK equipped with multispectral sensors.
View Article and Find Full Text PDFSensors (Basel)
August 2025
UMR CNRS 7347-Materiaux, Microéléctronique, Acoustique, Nanotechnologies (GREMAN), Institut Universitaire de Technologie de Blois (IUT Blois), Tours University, 37000 Tours, France.
In this paper, an image-driven regional pansharpening technique based on simplex optimization analysis with a graph-based superpixel segmentation strategy is proposed. This fusion approach optimally combines spatial information derived from a high-resolution panchromatic (PAN) image and spectral information captured from a low-resolution multispectral (MS) image to generate a unique comprehensive high-resolution MS image. As the performance of such a fusion method relies on the choice of the fusion strategy, and in particular, on the way the algorithm is used for estimating gain coefficients, our proposal is dedicated to computing the injection gains over a graph-driven segmentation map.
View Article and Find Full Text PDFAnn Dermatol Venereol
August 2025
Department of Dermatology, University Hospital of Saint-Etienne, Saint-Etienne Cedex 2, 42055, France.
Dermatological imaging has progressed from rudimentary artistic methods to sophisticated optical techniques, thereby profoundly transforming diagnosis in the field of dermatology. The present article traces the key milestones of this evolution, from early photographic techniques to contemporary tools such as dermatoscopy, confocal microscopy and optical coherence tomography (OCT). These innovations have significantly improved diagnostic accuracy, particularly for melanocytic lesions and skin cancers.
View Article and Find Full Text PDFWater Res
August 2025
College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China. Electronic address:
Antimony (Sb) pollution has become a significant environmental concern in eutrophic lakes, yet the processes governing its migration and transformation in sediments remain poorly understood. Previous studies have primarily focused on static concentration monitoring, with limited attention given to the dynamic behavior and seasonal toxicity variations of Sb. In this study, high-resolution dialysis (HR-Peeper) and multi-spectral techniques simultaneously obtained information on the changes of Sb, Mn, Fe(II), and dissolved organic matter (DOM) in sediment pore water from Meiliang Bay in Taihu Lake throughout the year.
View Article and Find Full Text PDF