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A Deep-Learning-Based Method for Interpreting Distribution and Difference Knowledge from Raster Topographic Maps

PAN Yalan TI Peng LI Mingyao LI Zhilin

测绘学报（英文版）2025，Vol.8Issue(2)：21-36,16.

测绘学报（英文版）2025，Vol.8Issue(2)：21-36,16.DOI:10.11947/j.JGGS.2025.0202

A Deep-Learning-Based Method for Interpreting Distribution and Difference Knowledge from Raster Topographic Maps

PAN Yalan ¹TI Peng ¹LI Mingyao ¹LI Zhilin¹

作者信息

1. Faculty of Geosciences and Engineering,Southwest Jiaotong University,Chengdu 610032,China||Institute of Sustainable Development of National Land,Chengdu 610032,China||State-Province Joint Engineering Laboratory in Spatial Information Technology for High-Speed Railway Safety,Chengdu 610032,China
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摘要

关键词

raster topographic maps/geographic feature knowledge/intelligent interpretation/deep learning

Key words

raster topographic maps/geographic feature knowledge/intelligent interpretation/deep learning

引用本文复制引用

PAN Yalan,TI Peng,LI Mingyao,LI Zhilin..A Deep-Learning-Based Method for Interpreting Distribution and Difference Knowledge from Raster Topographic Maps[J].测绘学报（英文版）,2025,8(2):21-36,16.

基金项目

Deep-time Digital Earth(DDE)Big Science Program(No.GJ-C03-SGF-2025-004) （DDE）

National Natural Science Foundation of China(No.42394063) （No.42394063）

Sichuan Science and Technology Program(No.2025ZNS-FSC0325). （No.2025ZNS-FSC0325）

测绘学报（英文版）

ISSN：2096-5990

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