Zobrazeno 1 - 10
of 89
pro vyhledávání: '"strip pooling"'
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Accurate coastline extraction is crucial for the scientific management and protection of coastal zones. Due to the diversity of ground object details and the complexity of terrain in remote sensing images, the segmentation of sea and land faces chall
Externí odkaz:
https://doaj.org/article/65228b49ccc64a97a5684a2c1ef62082
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8739 (2024)
Semantic segmentation of rural roads presents unique challenges due to the unstructured nature of these environments, including irregular road boundaries, mixed surfaces, and diverse obstacles. In this study, we propose an enhanced PP-LiteSeg model s
Externí odkaz:
https://doaj.org/article/0050ed75693b44a58eee87c54e0a8a8b
Autor:
Qingqing Hong, Yue Zhu, Wei Liu, Tianyu Ren, Changrong Shi, Zhixin Lu, Yunqin Yang, Ruiting Deng, Jing Qian, Changwei Tan
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
In order to effectively support wheat breeding, farmland ridge segmentation can be used to visualize the size and spacing of a wheat field. At the same time, accurate ridge information collecting can deliver useful data support for farmland managemen
Externí odkaz:
https://doaj.org/article/bcec38ad93364a369347f3250c5e638f
Akademický článek
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Akademický článek
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Autor:
Panle Li, Zhihui Tian, Xiaohui He, Mengjia Qiao, Xijie Cheng, Dingjun Song, Mingyang Chen, Jiamian Li, Tao Zhou, Xiaoyu Guo, Zhiqiang Li, Daidong Li, Zihao Ding, Runchuan Li
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3239-3253 (2021)
Abstract Road extraction from high‐resolution remote sensing images (HRSIs) has great importance in various practical applications. However, most existing road extraction methods have considerable limitation in capturing long‐range shape feature
Externí odkaz:
https://doaj.org/article/12cadebaaeee4a1dbccf7c891bbce301
Publikováno v:
Machine Learning with Applications, Vol 10, Iss , Pp 100436- (2022)
Crack detection plays an important role in disease assessment of concrete buildings. However, factors such as complex background, irregular edge, and the real-time and accuracy requirement also make crack detection a challenging task. Aiming at the a
Externí odkaz:
https://doaj.org/article/cb63740be7d84526bd332481774f568d
Akademický článek
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Publikováno v:
Plants, Vol 12, Iss 19, p 3438 (2023)
Accurate plant leaf image segmentation provides an effective basis for automatic leaf area estimation, species identification, and plant disease and pest monitoring. In this paper, based on our previous publicly available leaf dataset, an approach th
Externí odkaz:
https://doaj.org/article/edd6ec9ad11d4aba93916dcc8d84f175
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 5901 (2023)
Deep learning techniques for gaze estimation usually determine gaze direction directly from images of the face. These algorithms achieve good performance because face images contain more feature information than eye images. However, these image class
Externí odkaz:
https://doaj.org/article/d754463db6ef4fc8bf43f1ba495497cc