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AN IMPROVED MASK R-CNN: EXTRACTION OF DOOR AND WINDOW INSTANCES ON VILLAGE BUILDING FAÇADE IMAGES

D. Zhong, D. Zhong, L. He, L. He et al. • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2023)

Rapid access to the basic structure of village buildings is conducive to the investigation of the load-bearing bodies of village houses and provides data support for disaster assessment and post-disaster rescue and reconstruction. The devel...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-annals-X-1-W1-2023-295-2023

A review of computer vision–based structural health monitoring at local and global levels

Chuan‐Zhi Dong, F. Necati Çatbaş • Structural Health Monitoring (2020)

Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to the computer vision technology application a...

OPENALEX DOI: https://doi.org/10.1177/1475921720935585

Fuzzy Comprehensive Evaluation Model of Project Investment Risk Based on Computer Vision Technology

Hongjian Wang • Journal of Electrical and Computer Engineering (2023)

With the development of the economy and real-time embedded systems and the progress of science and technology, people’s economic income forms have undergone tremendous changes, and the concept of financial management has become clearer in p...

DOAJ Open Access (DOAJ) DOI: 10.1155/2023/5501265

Research on Landscape Perception and Visual Attributes Based on Social Media Data—A Case Study on Wuhan University

Xia Zhang, Danning Xu, Ni Zhang • Applied Sciences (2022)

With the rapid rise of social media, the photo-taking behavior of tourists and their uploaded photos provide a new perspective to explore landscape visual characters. In this study, we provide methodological advancements for assessing lands...

DOAJ Open Access (DOAJ) DOI: 10.3390/app12168346

Computer vision technology in agricultural automation —A review

Hongkun Tian, Tianhai Wang, Yadong Liu, Xi Qiao et al. • Information Processing in Agriculture (2019)

Computer vision is a field that involves making a machine “see”. This technology uses a camera and computer instead of the human eye to identify, track and measure targets for further image processing. With the development of computer visio...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.inpa.2019.09.006

Research on pH Value Detection Method during Maize Silage Secondary Fermentation Based on Computer Vision

Xianguo Ren, Haiqing Tian, Kai Zhao, Dapeng Li et al. • Agriculture (2022)

pH value is a crucial indicator for evaluating silage quality. In this study, taking maize silage as the research object, a quantitative prediction model of pH value change during the secondary fermentation of maize silage was constructed b...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriculture12101623