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Bo Zhao, Qifan Zhang, Yangchun Liu, Yongzhi Cui and Baixue Zhou
In response to the need for precision and intelligence in the assessment of transplanting machine operation quality, this study addresses challenges such as low accuracy and efficiency associated with manual observation and random field sampling for the ...
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Tingyao Jiang, Wei Sun and Min Wang
Sentence-level sentiment analysis, as a research direction in natural language processing, has been widely used in various fields. In order to address the problem that syntactic features were neglected in previous studies on sentence-level sentiment anal...
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Pengda Wu, Yong Yin, Chuangqi Wu, Xiaofei Bai, Chunxiao Zhang and Zhaoxin Dai
Road networks are the skeletal elements of topographic maps at different scales, and road selection is a prerequisite for implementing continuous multiscale spatial representations of road networks. The mesh-based approach is a common, advanced and power...
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Jean-Paul Kasprzyk and Guénaël Devillet
Due to their multiple sources and structures, big spatial data require adapted tools to be efficiently collected, summarized and analyzed. For this purpose, data are archived in data warehouses and explored by spatial online analytical processing (SOLAP)...
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Shao-Kuo Tai, Christine Dewi, Rung-Ching Chen, Yan-Ting Liu, Xiaoyi Jiang and Hui Yu
In the area of traffic sign detection (TSD) methods, deep learning has been implemented and achieves outstanding performance. The detection of a traffic sign, as it has a dual function in monitoring and directing the driver, is a big concern for driver s...
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Mingmei Zhang, Yongan Xue, Yonghui Ge and Jinling Zhao
To accurately identify slope hazards based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm is proposed. The color difference of the Luv color space was used as the regional similarity measure for region merging. Fu...
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Kelly Grassi, Émilie Poisson-Caillault, André Bigand and Alain Lefebvre
In the framework of ecological or environmental assessments and management, detection, characterization and forecasting of the dynamics of environmental states are of paramount importance. These states should reflect general patterns of change, recurrent...
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Sante Francesco Rende, Alessandro Bosman, Rossella Di Mento, Fabio Bruno, Antonio Lagudi, Andrew D. Irving, Luigi Dattola, Luca Di Giambattista, Pasquale Lanera, Raffaele Proietti, Luca Parlagreco, Mascha Stroobant and Emilio Cellini
In this study, we present a framework for seagrass habitat mapping in shallow (5?50 m) and very shallow water (0?5 m) by combining acoustic, optical data and Object-based Image classification. The combination of satellite multispectral images-acquired fr...
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Igor Ruban,Hennadii Khudov,Oleksandr Makoveichuk,Mykola Chomik,Vladyslav Khudov,Irina Khizhnyak,Viacheslav Podlipaiev,Yurii Sheviakov,Oleksii Baranik,Artem Irkha
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A method has been proposed for determining contours of objects on tonal aerospace images based on ant algorithms. The method, in contrast to those already known, takes into consideration patterns in the image formation; the ant algorithm is used for dete...
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Charikleia Gournia, Elias Fakiris, Maria Geraga, David P. Williams and George Papatheodorou
Bottom trawl footprints are a prominent environmental impact of deep-sea fishery that was revealed through the evolution of underwater remote sensing technologies. Image processing techniques have been widely applied in acoustic remote sensing, but accur...
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