An advanced setup for quantum ghost imaging that features asynchronous detection enables low-noise 3D imaging of distant objects. Recent experimental results show the potential of the setup to outperform classical sys...
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In this work we propose a satellite specific Neural Radiance Fields (NeRF) model capable to obtain a three-dimensional semantic representation (neural semantic field) of the scene. The model derives the output from a ...
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ISBN:
(数字)9798331536626
ISBN:
(纸本)9798331536633
In this work we propose a satellite specific Neural Radiance Fields (NeRF) model capable to obtain a three-dimensional semantic representation (neural semantic field) of the scene. The model derives the output from a set of multi-date satellite images with corresponding pixel-wise semantic labels. We demonstrate the robustness of our approach and its capability to improve noisy input labels. We enhance the color prediction by utilizing the semantic information to address temporal image inconsistencies caused by non-stationary categories such as vehicles. To facilitate further research in this domain, we present a dataset comprising manually generated labels for popular multi-view satellite images. Our code and dataset are available at https://***/wagnva/semantic-nerf-for-satellite-data.
Industrial production processes, especially in the pharmaceutical industry, are complex systems that require continuous monitoring to ensure efficiency, product quality, and safety. This paper presents a hybrid unsupe...
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Industrial production processes, especially in the pharmaceutical industry, are complex systems that require continuous monitoring to ensure efficiency, product quality, and safety. This paper presents a hybrid unsupervised learning strategy (HULS) for monitoring complex industrial processes. Addressing the limitations of traditional Self-Organizing Maps (SOMs), especially in scenarios with unbalanced data sets and highly correlated process variables, HULS combines existing unsupervised learning techniques to address these challenges. To evaluate the performance of the HULS concept, comparative experiments are performed based on a laboratory batch process.
Interoperable digital twins (DT) simplify and automate the implementation of Industry 4.0 (I4.0) use cases like Collaborative Condition Monitoring (CCM), Product and Corporate Carbon Footprint (PCF, CCF) and the Digit...
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This paper deals with the introduction of a novel concept of a customisable, modular and autonomous subsea bottom station (BASE). The subsea station will be supported by a floating surface unit ensuring cloud data con...
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In this work we propose a satellite specific Neural Radiance Fields (NeRF) model capable to obtain a three-dimensional semantic representation (neural semantic field) of the scene. The model derives the output from a ...
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In this work we propose a satellite specific Neural Radiance Fields (NeRF) model capable to obtain a three-dimensional semantic representation (neural semantic field) of the scene. The model derives the output from a ...
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In deep-space optical communications, one particular challenge encountered at the ground receiver side are the wavefront deformations caused by atmospheric turbulence. This gives rise to reduced signal-to-background r...
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The high variation of the incidence angle in airborne SAR data poses challenges for the development of classification, clustering or parameter retrieval approaches, due to its influence on the measurable radar respons...
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image analysis is a demanding task, particularly, if real-time analysis of motion imagery is required. Hence, the human image analysts needs assistance by a customized software system. In this contribution, a user int...
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