- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT) - Guangzhou, China (2019.5.19-2019.5.22)] 2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT) - A 300-GHz Injection-Locking Coupled Terahertz Voltage-Controlled Oscillator in 40-nm CMOS Process
摘要： Building models are a valuable information source for urban studies and in particular for analyses of urban mass concentrations (UMCS). Most commonly, light detection and ranging (LiDAR) is used for their generation. The trade-off for the high geometric detail of these data is the low spatial coverage, comparably high costs and low actualization rates. Spaceborne stereo data from Cartosat-1 are able to cover large areas on the one hand, but hold a lower geometric resolution on the other hand. In this paper, we investigate to which extent the geometric shortcomings of Cartosat-1 can be overcome integrating building footprints from topographic maps for the derivation of large-area building models. Therefore, we describe the methodology to derive digital surface models (DSMs) from Cartosat-1 data and the derivation of building footprints from topographic maps at 1:25 000 (DTK-25). Both data are fused to generate building block models for four metropolitan regions in Germany with an area of ～ 16 000 km2. Building block models are further aggregated to 1 × 1 km grid cells and volume densities are computed. Volume densities are classi?ed to various levels of UMCs. Performance evaluation of the building block models reveals that the building footprints are larger in the DTK-25, and building heights are lower with a mean absolute error of 3.21 m. Both factors in?uence the building volume, which is linearly lower than the reference. However, this error does not affect the classi?cation of UMC, which can be classi?ed with accuracies between 77% and 97%.
关键词： digital elevation models,topographic maps,cartosat,Building model
更新于2025-09-23 15:19:57
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Optical colour image encryption using spiral phase transform and chaotic pixel scrambling
摘要： In this study, we propose a new optical colour image encryption technique using spiral phase transform and chaotic pixel scrambling. For encryption, three channels of the colour image i.e. red, green and blue are first separated and modulated with three different structured phase masks. Spiral phase transform (SPT) with a particular order of modified spiral phase function (MSPF) is utilized for further processing. Random modulus decomposition is applied to the complex output after SPT to generate the private key for decryption. The pixels of the image are scrambled by using the chaotic Tinkerbell map for enhanced security. The order of MSPF, three structured phase masks, parameters of Tinkerbell mapping, and the private key generated during the encryption process serve as the security keys. The robustness of the proposed method is checked against various potential attacks. A series of numerical simulation results are presented to validate the proposed colour image encryption method.
关键词： Optical colour image encryption,modified spiral phase function (MSPF),spiral phase transform (SPT),chaotic maps
更新于2025-09-19 17:15:36
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Indoor Scene and Position Recognition Based on Visual Landmarks Obtained from Visual Saliency without Human Effect
摘要： Numerous autonomous robots are used not only for factory automation as labor saving devices, but also for interaction and communication with humans in our daily life. Although superior compatibility for semantic recognition of generic objects provides wide applications in a practical use, it is still a challenging task to create an extraction method that includes robustness and stability against environmental changes. This paper proposes a novel method of scene and position recognition based on visual landmarks (VLs) used for an autonomous mobile robot in an environment living with humans. The proposed method provides a mask image of human regions using histograms of oriented gradients (HOG). The VL features are described with accelerated KAZE (AKAZE) after extracting conspicuous regions obtained using saliency maps (SMs). The experimentally obtained results using leave-one-out cross validation (LOOCV) revealed that recognition accuracy of high-saliency feature points was higher than that of low-saliency feature points. We created our original benchmark datasets using a mobile robot. The recognition accuracy evaluated using LOOCV reveals 49.9% for our method, which is 3.2 percentage points higher than the accuracy of the comparison method without HOG detectors. The analysis of false recognition using a confusion matrix examines false recognition occurring in neighboring zones. This trend is reduced according to zone separations.
关键词： visual landmark,machine learning,saliency maps,semantic position recognition,histograms of oriented gradients
更新于2025-09-19 17:15:36
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Feature Extraction of Structures in Sea Water Using Self-Organizing Maps and Electromagnetic Waves
摘要： The use of Self-Organizing Map (SOM) algorithm for feature extraction and dimensionality reduction applied to underwater object detection with Low Frequency Electromagnetic Waves is presented. Computer simulation is used to generate a direct model for the study region, and a Self Organizing Map Algorithm is used to fit the data and return a similar model, with smaller dimensionality and same characteristics. Results show that virtual sensors are created by the SOM algorithm with consistent predictions, filling the resolution gap of the input data. These results are useful for fastening decision making algorithms by reducing the number of inputs to a group of significant data.
关键词： Self-Organizing Maps,electromagnetic imaging,unsupervised neural networks
更新于2025-09-19 17:15:36
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[IEEE 2019 International Symposium on Electromagnetic Compatibility - EMC EUROPE - Barcelona, Spain (2019.9.2-2019.9.6)] 2019 International Symposium on Electromagnetic Compatibility - EMC EUROPE - Comparison Between Impulsive Noise Models Considering a Time Structure of LED Noise
摘要： The main objective of this study was to investigate complex human socioeconomic infrastructure interactions and information on past human adverse events (AE) in an active war theater in order to predict future AE in a given geographical region. Human AE were defined as those security-related events that threatened human lives. Human socioeconomic infrastructure development data were derived by integrating three different datasets from different sources based on the United States Agency for International Development database. Using empirical data obtained from the country of Afghanistan from 2002 to 2010, we applied evolving self-organizing maps (ESOM) to forecast future patterns of such AE. Records from 2003–2009 were used as training data, while records from year 2010 were used to test the efficacy of ESOM in predicting AE. The socioeconomic data, dates, and geographical location information was used as input for the trained model. ESOM algorithm with supervised learning was effective in understanding future patterns of AE in a war region. The results also showed the possibility of predicting future AE based on the incomplete information pertaining to the geographical location, recent history of AE in the specific region of the country, and relevant socioeconomic infrastructure development data. The differences in applying the classical self-organizing maps and ESOM approaches for modeling of complex human socioeconomic infrastructure interactions were also discussed.
关键词： modeling and prediction,human life,socioeconomic system interactions,self-organizing maps (SOM),security threats,complexity,Adverse events (AE),infrastructure development,evolving self-organizing maps (ESOM)
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Geographic Assessment of Photovoltaic Module Environmental Degradation Stressors
摘要： Environmental stress can degrade photovoltiac (PV) modules. We perform a literature search to identify models that estimate the damage caused by exposure to various environmental stressors, including temperature, radiation, and humidity. The weather-related variables, including ambient temperature, irradiance and humidity are calculated using the Global Land Data Assimilation System (GLDAS). The analysis also calculated degradation-model stressors, module temperature, plane of array irradiance, and relative humidity and compared these PV-speci?c variables to identify correlations and the translation required to represent the stressor accurately. The results show that global horizontal (GHI) irradiance can be used instead of plane-of-array irradiance to represent radiation dose. However, module temperature can be signi?cantly different from ambient temperatures and speci?c humidity is signi?cantly different from relative humidity.
关键词： maps,photovoltaic,stressors,degradation
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE Intelligent Transportation Systems Conference - ITSC - Auckland, New Zealand (2019.10.27-2019.10.30)] 2019 IEEE Intelligent Transportation Systems Conference (ITSC) - Graph-based Map-Aided Localization using Cadastral Maps as Virtual Laser Scans
摘要： Environment-based localization algorithms, such as laser odometry, can achieve a remarkable accuracy on the local scale. For autonomous driving, however, it is mandatory to combine these estimates with global information to overcome large scale drift. Our approach uses freely accessible cadastral plans (building footprints) together with 2D laser information and odometry in a graph-based approach to realize real-time global localization. The main contributions of our work reside in the way we create a virtual laser scan from cadastral plans, and that we consider the observation integrity by identifying corridor-like environment configurations (ambiguous positioning along the longitudinal axis). Besides, we evaluate our approach on a vehicle in two urban scenarios. We present a comparison of the obtained precision using different relevant combinations of the proposed contributions and show that we can reach an average positioning accuracy of 55cm at best without requiring a first passage of an equipped vehicle to build a map.
关键词： laser scan,autonomous driving,localization,cadastral maps,graph-based
更新于2025-09-16 10:30:52
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[IEEE IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium - Yokohama, Japan (2019.7.28-2019.8.2)] IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium - Multisource Labeled Data: an Opportunity for Training Deep Learning Networks
摘要： This paper addresses the opportunities and the challenges offered by multisource labeled data in the framework of deep learning techniques. After a review of the types of multisource labeled data, the focus is devoted to their use for the training of deep learning classification architectures. The need to generate training sets containing a very large number of labeled samples pushes toward the exploitation of all the possible available sources of labeled data. This crucial topic is addressed by categorizing the approaches to the collection of labeled data and presenting a framework for characterizing and modeling their information content and uncertainties to be used in the training of processing algorithms. The framework defines the main expected properties of large multisource training sets and relates them to both the characteristics of different data sources and the possible learning paradigms for the training of a deep architecture.
关键词： land-cover maps,Labeled data,multisource data,deep learning,remote sensing
更新于2025-09-16 10:30:52
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[IEEE 2018 International Conference Laser Optics (ICLO) - St. Petersburg (2018.6.4-2018.6.8)] 2018 International Conference Laser Optics (ICLO) - Optical stabilization and microscanning with piezo actuators and piezoelectric motors
摘要： Building models are a valuable information source for urban studies and in particular for analyses of urban mass concentrations (UMCS). Most commonly, light detection and ranging (LiDAR) is used for their generation. The trade-off for the high geometric detail of these data is the low spatial coverage, comparably high costs and low actualization rates. Spaceborne stereo data from Cartosat-1 are able to cover large areas on the one hand, but hold a lower geometric resolution on the other hand. In this paper, we investigate to which extent the geometric shortcomings of Cartosat-1 can be overcome integrating building footprints from topographic maps for the derivation of large-area building models. Therefore, we describe the methodology to derive digital surface models (DSMs) from Cartosat-1 data and the derivation of building footprints from topographic maps at 1:25 000 (DTK-25). Both data are fused to generate building block models for four metropolitan regions in Germany with an area of ～ 16 000 km2. Building block models are further aggregated to 1 × 1 km grid cells and volume densities are computed. Volume densities are classi?ed to various levels of UMCs. Performance evaluation of the building block models reveals that the building footprints are larger in the DTK-25, and building heights are lower with a mean absolute error of 3.21 m. Both factors in?uence the building volume, which is linearly lower than the reference. However, this error does not affect the classi?cation of UMC, which can be classi?ed with accuracies between 77% and 97%.
关键词： topographic maps,Building model,digital elevation models,cartosat
更新于2025-09-16 10:30:52
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Comparison of whole-tree wood property maps based on near-infrared spectroscopic calibrations utilizing data at different spatial resolutions
摘要： Near-infrared (NIR) spectra or NIR-hyperspectral images obtained from radial strips or wood discs provide a cost-effective methodology for examining wood property variation within trees. The calibration used for wood property prediction is critical and can be obtained using two fundamentally different approaches. One involves using a spatial-specific model where wood property data and corresponding spectral data are measured at the same resolution for calibration and prediction, e.g. 10-mm radial increments. The other provides a spatial-interpolated model and involves measuring a property on a broad-scale, e.g. whole-tree, calibrating this data against NIR spectra representing the equivalent scale and then using the calibration to predict the property at higher resolution. To understand the impact of these approaches on subsequent patterns of within-tree variation, whole-tree air-dry density (ADD) and coarseness maps, based on data obtained using the two different approaches, were compared. Patterns of ADD and coarseness variation were comparable indicating that both approaches can be utilized to examine within-tree variation. Spatial-interpolated models have a distinct advantage; being based on whole-tree (or disc) samples, they greatly reduce the cost of wood property analysis and allow the development of maps for properties that are costly and difficult to measure, for example, pulp yield.
关键词： near-infrared spectroscopy,within-tree variation,wood property maps,loblolly pine,coarseness,Pinus taeda,SilviScan,air-dry density
更新于2025-09-16 10:30:52