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Serge Riazanoff, Axel Corseaux, Clément Albinet, Peter A. Strobl, Carlos López-Vázquez, Peter L. Guth and Takeo Tadono
In recent decades, an important number of regional and global digital elevation models (DEMs) have been released publicly. As a consequence, researchers need to choose between several of these models to perform their studies and to use these DEMs as thir...
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Jiawei Zhang, Fenglei Han, Duanfeng Han, Jianfeng Yang, Wangyuan Zhao and Hansheng Li
In the realm of ocean engineering and maintenance of subsea structures, accurate underwater distance quantification plays a crucial role. However, the precision of such measurements is often compromised in underwater environments due to backward scatteri...
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Xuanyuan Xie and Jieyu Zhao
The diffusion model has made progress in the field of image synthesis, especially in the area of conditional image synthesis. However, this improvement is highly dependent on large annotated datasets. To tackle this challenge, we present the Guided Diffu...
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Aref Maksoud, Aya Elshabshiri, Amani Saeed Hilal Humaid Alzaabi and Aseel Hussien
The study aims to understand to what extent employing A.I. image-generative tools in architectural concept brainstorming demonstrates effectiveness, accuracy, and adherence to text and image inputs, and evaluate the utilization of A.I. image-generative t...
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Pengyun Chen, Zhiru Li, Guangqing Liu, Ziyi Wang, Jiayu Chen, Shangyao Shi, Jian Shen and Lizhou Li
The positioning results of terrain matching in flat terrain areas will significantly deteriorate due to the influence of terrain nonlinearity and multibeam measurement noise. To tackle this problem, this study presents the Pulse-Coupled Neural Network (P...
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Ruiqing Chen, Liang Sun, Zhongxin Chen, Deji Wuyun and Zheng Sun
The prompt and precise identification of corn and soybeans are essential for making informed decisions in agricultural production and ensuring food security. Nonetheless, conventional crop identification practices often occur after the completion of crop...
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Yongzhe Sun, Linxiao Miao, Ziming Zhao, Tong Pan, Xueying Wang, Yixin Guo, Dawei Xin, Qingshan Chen and Rongsheng Zhu
The investigation of plant phenotypes through 3D modeling has emerged as a significant field in the study of automated plant phenotype acquisition. In 3D model construction, conventional image preprocessing methods exhibit low efficiency and inherent ine...
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Xiangming Lei, Mingliang Wu, Yajun Li, Anwen Liu, Zhenhui Tang, Shang Chen and Yang Xiang
To achieve the rapid recognition and accurate picking of Camellia oleifera fruits, a binocular vision system composed of two industrial cameras was used to collect images of Camellia oleifera fruits in natural environments. The YOLOv7 convolutional neura...
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Manuel Antonio Ureña-Cámara and Antonio Tomás Mozas-Calvache
This study describes a new algorithm developed to detect local cells of minimum or maximum heights in grid Digital Elevation Models (DEMs). DEMs have a low variance in digital levels due to the spatial continuity of the data. Traditional algorithms, such...
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Zilu Zhao, Hui Long and Hongjian You
Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high...
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