Using convolutional neural networks to identify illegal roofs from unmanned aerial vehicle images

IF 2.7 4区 工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Architectural Engineering and Design Management Pub Date : 2023-08-07 DOI:10.1080/17452007.2023.2244949
Ching-Lung Fan
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利用卷积神经网络识别无人机图像中的非法屋顶
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来源期刊
CiteScore
5.80
自引率
3.40%
发文量
30
期刊介绍: Informative and accessible, this publication analyses and discusses the integration of the main stages within the process of design and construction and multidisciplinary collaborative working between the different professionals involved. Ideal for practitioners and academics alike, Architectural Engineering and Design Management examines specific topics on architectural technology, engineering design, building performance and building design management to highlight the interfaces between them and bridge the gap between architectural abstraction and engineering practice. Coverage includes: -Integration of architectural and engineering design -Integration of building design and construction -Building design management; planning and co-ordination, information and knowledge management, vale engineering and value management -Collaborative working and collaborative visualisation in building design -Architectural technology -Sustainable architecture -Building thermal, aural, visual and structural performance -Education and architectural engineering This journal is a valuable resource for professionals and academics (teachers, researchers and students) involved in building design and construction, including the following disciplines: -Architecture -Building Engineering -Building Service Engineering -Building Physics -Design Management and Design Coordination -Facilities Management Published papers will report on both fundamental research dealing with theoretical work and applied research dealing with practical issues and industrial innovations. In this way, readers explore the interaction between technical considerations and management issues.
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