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2022年6月17日,浙江大学光电科学与工程学院郝翔课题组综述文章《Spectral imaging with deep learning》发表于《Light:Science&Applications》杂志第六期封面。该研究回顾了光谱成像技术应用深度学习的最新进展,对基于深度学习的光谱成像技术进行了梳理。研究对深度学习光谱成像的各种技术路线进行了原理阐述、研究总结,并整理了当前的光谱成像数据集、概...
VISIBLE ROUTES IN 3D DENSE CITY USING REINFORCEMENT LEARNING     3D GIS  Visibility  Routes  Reinforcement learning       font style='font-size:12px;'> 2018/11/9
In the last few years, the 3D GIS domain has developed rapidly, and has become increasingly accessible to different disciplines. 3D Spatial analysis of Built-up areas seems to be one of the most chall...
At present, intelligent video analysis technology has been widely used in various fields. Object tracking is one of the important part of intelligent video surveillance, but the traditional target tra...
Machine learning methods have gained in importance through the latest development of artificial intelligence and computer hardware. Particularly approaches based on deep learning have shown that they ...
3D models of indoor environments are important in many applications, but they usually exist only for newly constructed buildings. Automated approaches to modelling indoor environments from imagery and...
InP-based Photonic Integration:Learning from CMOS     InP-based Photonic Integration  Learning  CMOS       font style='font-size:12px;'> 2015/7/14
ln the last decades the complexity of InP-based Photonic Integrated Circuits has increased by almost two orders. In this paper past and future developments in Photonic Integration will be discussed.
First closed loop optimization experiments on the spectral envelope of white light produced by shaped fs pulses irradiated on a thin (2 mm) sapphire plate are presented. Thereby, the spectral position...

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