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Articles

Regression modeling of reduction in spatial accuracy and detail for multiple geometric line simplification procedures

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Pages 47-70 | Received 26 Mar 2018, Accepted 03 May 2019, Published online: 29 Jul 2019

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Min Yang, Tuo Yuan, Xiongfeng Yan, Tinghua Ai & Chenjun Jiang. (2022) A hybrid approach to building simplification with an evaluator from a backpropagation neural network. International Journal of Geographical Information Science 36:2, pages 280-309.
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Articles from other publishers (4)

T. E. Samsonov, O. P. Yakimova, D. A. Potemkin & O. A. Guseva. (2023) Spatial variation of feature density in multiscale topographic data. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 16:1, pages 86-102.
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О.P. Yakimova & T.A. Teterin. (2023) A comparative study of an algorithm based on the Fourier descriptor with those on geometric criteria. Geodesy and Cartography 990:12, pages 22-30.
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Min Yang, Haoran Huang, Yiqi Zhang & Xiongfeng Yan. (2022) Pattern Recognition and Segmentation of Administrative Boundaries Using a One-Dimensional Convolutional Neural Network and Grid Shape Context Descriptor. ISPRS International Journal of Geo-Information 11:9, pages 461.
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Timofey SamsonovOlga Yakimova. (2021) Analysis of the effectiveness of constraining metrics of geometric simplification algorithms based on expert evaluation of line detail. InterCarto. InterGIS 27:2, pages 253-267.
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