- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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Ultracompact Camera Pixel with Integrated Plasmonic Color Filters
摘要： Photodetector size imposes a fundamental limit on the amount of information that can be recorded by an image sensor. Compact, high-resolution sensors are generally preferred for portable electronic devices such as mobile phones and digital cameras, and as a result, a significant effort has been invested in improving the image quality provided by small-area image sensors. Reducing photodetector size, however, still faces challenges in implementation requiring improvements in current technology to meet the demand for ultracompact imaging systems such as cameras. An issue with a decrease in size is associated with photodetectors utilizing color filters. In most commonly used camera designs these filters are made of dyes or pigments and incompatible with the complementary metal-oxide-semiconductor fabrication process. They are, therefore, fabricated in two different technological processes and require subsequent alignment. As the pixel size decreases, the alignment of these layers becomes challenging. Furthermore, dye-based filters need to have a thickness of the order of micrometers to ensure sufficient absorption. Here a compact, low-cost color sensor is proposed and experimentally demonstrated utilizing monolithically integrated plasmonic antennas that have a nanoscale thickness and are fabricated in the same technological process with photodetector matrix.
关键词： CMOS,planar technology,pixel,plasmonics,photodetectors
更新于2025-09-11 14:15:04
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13.3: A new pixel structure for OLEDoS micro‐display
摘要： In this paper, we propose a new pixel structure for the organic Light Emitting Diode (OLED) 0.65 inch SVGA resolution micro-display with 8 bit gray level. The proposed pixel structure is composed of 4 MOSFETS and one capacitor to integrate the pixel structure in the restricted pixel area（ ）using 0.18um technology. The simulation result shows that the maximum error of emission current occurs at high gray level.
关键词： Micro-display,SVGA,OLEDoS,Pixel structure,MONSFET
更新于2025-09-11 14:15:04
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High‐Resolution Inkjet Printing of Quantum Dot Light‐Emitting Microdiode Arrays
摘要： The direct printing of microscale quantum dot light-emitting diodes (QLEDs) is a cost-effective alternative to the placement of pre-formed LEDs. The quality of printed QLEDs currently is limited by nonuniformities in droplet formation, wetting, and drying during inkjet printing. Here, optimal ink formulation which can suppress nonuniformities at the pixel and array levels is demonstrated. A solvent mixture is used to tune the ejected droplet size, ensure wetting, and provoke Marangoni flows that prevent coffee stain rings. Arrays of green QLED devices are printed at a resolution of 500 pixels in.?1 with a maximum luminance of ≈3000 cd m?2 and a peak current efficiency of 2.8 cd A?1. The resulting array quality is sufficient to print displays at state-of-the-art resolutions.
关键词： light-emitting diodes,quantum dots,uniform pixel arrays,inkjet printing,high resolution
更新于2025-09-11 14:15:04
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Sub-Pixel Mapping with Hyperspectral Images Using Super-Resolution
摘要： Hyperspectral images are rich in spectral content but their spatial resolution is relatively poor. It can lead to mixed pixels and sub-pixel targets. In order to improve the reliability of information provided by hyperspectral image analysis and make the results practically usable, one needs to improve their spatial resolution. Due to physical constraints and associated cost, increasing the resolution by improving the sensors may not be a practical option. Thus one effective solution is some form of post-processing of hyperspectral data. Such an algorithmic resolution enhancement is called “super-resolution”. In this paper single image super-resolution of hyperspectral image has been attempted. The use of Hopfield Neural Network for successful landuse/landcover classification of Hyperspectral image has been shown. A successful attempt was made to improve initialization of the Hopfield neural network. The results were verified visually as well as statistically.
关键词： Sub-pixel Mapping,Hyperspectral Image,Landuse/landcover,Mixed Pixel,Super-resolution,Hopfield Neural Network
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Land Cover Change Detection Based on Spatial-Temporal Sub-Pixel Evolution Mapping: A Case Study for Urban Expansion
摘要： In the past decades, land cover change detection (LCCD) has been dramatically developed, since it provides corroborative support for policy decision, regulatory actions, and subsequent urban-rural activities. Satellite remote sensing image is the major source of LCCD since it is able to revisit the Earth’s surface regularly and provide time series images for monitoring and space-time analysis. However, there is always a trade-off between spatial scale and temporal scale, i.e., finer spatial resolution image generally has a lower revisit frequency, leading to an observation omission; while higher revisit frequency image usually has a lower spatial resolution, resulting in a deficiency in detecting finer scale change information. In this paper, a spatial-temporal sub-pixel mapping (SSM) algorithm is proposed on the premise that one pair of fine spatial resolution image with low frequency revisit period and coarse spatial resolution with high frequently revisit period are available, and SSM is taken to restore the coarse image to a finer scale thematic map which can be then compared to the fine image, realizing a frequency and detailed LCCD. SSM is an extension of traditional mono-temporal sub-pixel mapping (SPM) algorithm, and is improved by incorporating temporally fine distribution patterns for a more appropriate restoration of coarse image. A study case for urban expansion LCCD were carried out to verify the ability of the proposed algorithm to handle change detection based on one pair of china-made Gaofen-2 image (GF-2) and Landsat-8 image, the result demonstrate that the proposed SSM algorithm outperform the other traditional SPM, achieving both fine temporal resolution and spatial resolution LCCD for further applications.
关键词： Swarm intelligent theory,spatial-temporal sub-pixel mapping (SSM),Land cover change detection (LCCD),sub-pixel mapping (SPM)
更新于2025-09-10 09:29:36
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Towards the large area HVCMOS demonstrator for ATLAS ITk
摘要： High Voltage CMOS (HVCMOS) sensor is a proposed cost effective alternative to the existing hybrid sensors in ATLAS ITk pixel barrel for outer layers. To prove the feasibility of HVCMOS sensors in ATLAS experiment, a large area demonstrator chip is being designed. This work presents the design details of three HVCMOS sensor chips with an overview of the measurement results of ATLASpix1 which is the first large area (1cm×2cm) prototype in 0.18μm process.
关键词： CLIC,ATLAS,Large fill factor,triggered readout,monolithic pixel detector,pixel grouping,HVCMOS,ATLASpix
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Preliminary Validation of Mixed-Pixel Clumping Index in the Arid and Semi-Arid Region, Western China
摘要： In this paper, the 1 km Mixed Pixel Clumping Index (MPCI) was calculated using the 30 m HJ-1A/1B CCD data in the arid and semi-arid region, Western China. To validate the result, an indirect validation method was proposed. In this method, the 1 km effective LAI was retrieved from the satellite data using the PROSAIL model first, and then corrected to the true LAI with the MPCI data. The comparison between the retrieved true LAI and the MODIS product shows a significant improvement relative to the effective LAI. The correlation R2 rise from 0.52 to 0.70 and the RMSE falls from 0.58 to 0.42. It indicates that the MPCI calculation is reasonable and valid for LAI retrieval from the satellite data.
关键词： mixed pixel,leaf area index,Clumping index,validation
更新于2025-09-10 09:29:36
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[IEEE 2018 25th IEEE International Conference on Image Processing (ICIP) - Athens, Greece (2018.10.7-2018.10.10)] 2018 25th IEEE International Conference on Image Processing (ICIP) - Macro-Pixel Prediction Based on Convolutional Neural Networks for Lossless Compression of Light Field Images
摘要： The paper introduces a novel macro-pixel prediction method based on Convolutional Neural Networks (CNN) for lossless compression of light field images. In the proposed method, each macro-pixel is predicted based on a volume of macro-pixels from its immediate causal neighborhood. The proposed deep neural network operates on these macro-pixel volumes and provides accurate macro-pixel prediction in light field images. The resulting macro-pixel residuals are encoded by a reference codec built based on the CALIC codec. A context modeling method for light field images is proposed. Experimental results on a large light field image dataset show that the proposed prediction method systematically and substantially outperforms state-of-the-art predictors. To our knowledge, the paper is the first to introduce deep-learning based prediction of macro-pixels, enabling efficient lossless compression of light field images.
关键词： CNN-based prediction,Intraprediction,lossless compression,macro-pixel,light field images
更新于2025-09-10 09:29:36
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[IEEE 2018 International Russian Automation Conference (RusAutoCon) - Sochi (2018.9.9-2018.9.16)] 2018 International Russian Automation Conference (RusAutoCon) - Object Hierarchy in a Digital Image
摘要： The paper describes a model of binary hierarchical clustering of image pixels for object detection. In the model, a hierarchical sequence (a hierarchy) of pixel clusters is obtained adaptively to an image by iterative merging of pixel sets. Clustering of pixels depending on the number of clusters is given by a hierarchy of piecewise-constant approximations of the image and is described by a convex sequence of corresponding values of the total quadratic error, which is minimized for a given number of clusters. Due to the convexity property, the pixel clusters and their colors in the image are ordered by the absolute value of the increment of the total squared error accompanied by the dividing of cluster in two parts. For the hierarchy of pixel clusters, the problem of unambiguous assignment of image points to detected objects is formalized. In this case, the output of object detection is a sequence of object associations that incrementally reveal or disappear on a certain background. Objects are detected in accordance with the threshold value of the number of pixels in the cluster, or the threshold for the increment of the total squared error, or by other pixel cluster attributes that have a sense of a quantitative measure. The hierarchy of pixel clusters and the hierarchy of object associations are encoded with "pixel rating" stereo pair and "object rating" stereo pair. The pilot experimental results are demonstrated.
关键词： digital image,minimization,Ward’s pixel clustering,piecewise constant approximations,standard deviation,K-means method
更新于2025-09-10 09:29:36
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Comparison of pixel-based and object-based image classification techniques in extracting information from UAV imagery data
摘要： As the rapid development is being focused in the urban area, there is a need for the utilisation of a rapid system for updating this profile immediately. One of the current technologies being applied in recent years is the use of unmanned aerial vehicle (UAV) for mapping purposes. The use of UAV is widespread in various fields because it is low cost, has high resolution and is able to fly at low altitude without the constraints of cloudy weather. Typically, the method of data extraction for UAV in Malaysia is still very limited and the traditional methods are still being implemented by some industries. The features from aerial photo orthomosaic are manually detected and digitised from visual interpretation for the mapping purposes. Unfortunately, these methods are tedious, expensive, consume much time, and may involve much fieldwork, to acquire only a limited information. Pixel-based technique is often used to extract low level features where the image is classified according to the spectral information where the pixels in the overlapping region will be misclassified due to the confusion among image analysis (OBIA) classification technique is widely used nowadays for automatic data extraction. Therefore, the general objective of this study is to assess the capability of UAV with high resolution data for image classifications. The pixel-based and OBIA classifications were compared using the Support Vector Machine (SVM) classifier. The classifications were assessed using different numbers of sample size. The result shows that OBIA gives a better result of Overall Accuracy (OA) than pixel-based. The consequences of this study accommodate further understanding and additional insight of utilising OBIA technique with different classifiers for the extended study.
关键词： object-based,UAV,SVM,pixel-based,image classification
更新于2025-09-10 09:29:36