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Di Wang and Haizhong Qian
Existing research on automatic river network classification methods has difficulty scientifically quantifying and determining feature threshold settings and evaluating weights when calculating multi-indicator features of the local and overall structures ...
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Xiaorong Gao, Haowen Yan, Xiaomin Lu and Pengbo Li
The major reason that the fully automated generalization of residential areas has not been achieved to date is that it is difficult to acquire the knowledge that is required for automated generalization and for the calculation of spatial similarity degre...
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Xiongfeng Yan and Min Yang
The shape encoding of geospatial objects is a key problem in the fields of cartography and geoscience. Although traditional geometric-based methods have made great progress, deep learning techniques offer a development opportunity for this classical prob...
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Hongyun Zhang, Jin Liu and Jie Liu
The geometric features of ground objects can reflect the shape, contour, length, width, and pixel distribution of ground objects and have important applications in the process of object detection and recognition. However, the geometric features of object...
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Renaud Fabre, Otmane Azeroual, Patrice Bellot, Joachim Schöpfel and Daniel Egret
The variety and diversity of published content are currently expanding in all fields of scholarly communication. Yet, scientific knowledge graphs (SKG) provide only poor images of the varied directions of alternative scientific choices, and in particular...
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