Automatic classification of rural building characteristics using deep learning methods on oblique photography

Meng, Chengyu; Song, Yinglin; Ji, Jiaqi; Jia, Zhensheng; Zhou, Zhen; Gao, Peng; Liu, Sunxiangyu

doi:10.1007/s12273-021-0872-x

Cited by 29 publications

(17 citation statements)

References 71 publications

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“…In the long jump, psychological factors come from many aspects, which are mainly affected by the external environment and their own poor psychological quality. These two macrofactors are the main causes of sports injury to the knee joint [ 11 ]. Rudolph et al believes that people's psychological development is slow and in the transition period from immature to mature, which will seriously affect the training process of athletes in the long jump and have a significant impact on the knee joint [ 12 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Diagnostic Value of Specialist Systems in Sports Knee Injuries

Chen

Cai

et al. 2022

Scanning

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In order to explore the diagnostic effect of the expert system in knee sports injury, a method of diagnostic value of expert system in sports knee sports injury is proposed. This paper mainly takes 200 professional football players in sports higher vocational colleges as the research object. There are 146 male athletes and 44 female athletes; we establish a football injury ontology knowledge base and use a reasoning engine to build an intelligent expert system diagnosis system, allowing users to quickly discover diseases, accurately diagnose injuries, and obtain the best means of rehabilitation. Through the investigation, it can be seen that the body parts caused by football injuries are more complex, and the types of injuries in each part are also different. Therefore, it is particularly important to establish an intelligent retrieval system with convenient query and clear diagnosis by the expert system. With the birth and development of computer and artificial intelligence technology, the development of artificial intelligence expert systems in the medical field has become a reality. The construction of this system will have theoretical and practical significance and application value.

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Section: Literature Reviewmentioning

confidence: 99%

Diagnostic Value of Specialist Systems in Sports Knee Injuries

Chen

Cai

et al. 2022

Scanning

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“…The proposed model in this study, named FacMixNet, integrates a shared feature extraction architecture for the dual prediction of building age and built form two attributes that are conventionally classified separately. , The novel multitask learning framework posits the potential interrelation of features used for both age and built form recognition, as depicted in Figure Panel B.…”

Section: Methodsmentioning

confidence: 99%

Component-Level Residential Building Material Stock Characterization Using Computer Vision Techniques

Dai,

Jurczyk,

Arbabi

et al. 2024

Environ. Sci. Technol.

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Residential building material stock constitutes a significant part of the built environment, providing crucial shelter and habitat services. The hypothesis concerning stock mass and composition has garnered considerable attention over the past decade. While previous research has mainly focused on the spatial analysis of building masses, it often neglected the component-level stock analysis or where heavy labor cost for onsite survey is required. This paper presents a novel approach for efficient component-level residential building stock accounting in the United Kingdom, utilizing drive-by street view images and building footprint data. We assessed four major construction materials: brick, stone, mortar, and glass. Compared to traditional approaches that utilize surveyed material intensity data, the developed method employs automatically extracted physical dimensions of building components incorporating predicted material types to calculate material mass. This not only improves efficiency but also enhances accuracy in managing the heterogeneity of building structures. The results revealed error rates of 5 and 22% for mortar and glass mass estimations and 8 and 7% for brick and stone mass estimations, with known wall types. These findings represent significant advancements in building material stock characterization and suggest that our approach has considerable potential for further research and practical applications. Especially, our method establishes a basis for evaluating the potential of component-level material reuse, serving the objectives of a circular economy.

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“…Converting the magnitude of physical change into the magnitude of perception is called Weber-Fechner law. Simply put, Weber-Fechner law gives that the magnitude of perceived stimulus is directly proportional to the logarithm of physical stimulus intensity [ 16 , 17 ]. If Weber-Fechner law is strictly valid, then all perceptual relationships follow the same nonlinear form.…”

Section: Methodsmentioning

confidence: 99%

Simulation of Automatic Color Adjustment of Landscape Image Based on Color Mapping Algorithm

Man

2022

Computational Intelligence and Neuroscience

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With the continuous development and progress of image sensing technology in recent years, the problem of image data acquisition, recovery, and recording has been solved, and people have gradually realized that image data can be better recovered, recorded, and exhibited by collecting image data. It is also used in target recognition, image display, landscape design, and other fields. And the application of color mapping algorithm can more intuitively affect the final quality of the display image. This is extremely important for landscape design. It can be said that the emergence and application of color mapping algorithm provide strong technical support for both dynamic and static image color automatic adjustment and simulation. On this basis, taking the color mapping algorithm as the breakthrough, through the in-depth introduction of the color mapping algorithm, starting from the direction of landscape image color automatic adjustment, a relatively simplified color mapping algorithm model inheriting the positive and negative two-way vision model is proposed. At the same time, a simulation algorithm based on landscape suitcase color automatic adjustment is proposed based on the color mapping algorithm model. Experiments show that automatic color adjustment of landscape images based on color mapping algorithm can achieve more realistic image reproduction, and the color mapping method based on color mapping algorithm has less illumination bias. When the number of experiments is 30, the difference in visibility of the plane is 0.25 cd/m2, the difference of visibility according to the color change segmented by the gradient area is 0.71 cd/m2, and the difference of the illuminance difference of the transition image is 0.71 cd/m2. Gaussian pyramid is 1.25 cd/m2. The proposed method improves color density by reducing image sharpness and compensating for color sharpness of landscape image, and high quality landscape images provide assistance for landscape design.

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Automatic classification of rural building characteristics using deep learning methods on oblique photography

Cited by 29 publications

References 71 publications

Diagnostic Value of Specialist Systems in Sports Knee Injuries

Diagnostic Value of Specialist Systems in Sports Knee Injuries

Component-Level Residential Building Material Stock Characterization Using Computer Vision Techniques

Simulation of Automatic Color Adjustment of Landscape Image Based on Color Mapping Algorithm

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