基于深度学习的岩体遥感智能解译模型研究——以苇河镇、亚布力镇、绥阳镇地区为例

doi:10.13686/j.cnki.dzyzy.2022.06.011

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摘要在东北地区选取试验区,对比多种分类模型,提出一种基于多源多模态数据和多流CNN的岩体分类模型. 其中包括两个子模型:一是基于大尺度邻域和深度卷积神经网络的岩体提取模型;二是基于波段组合和多模态数据的多流CNN融合模型. 研究结果表明,预测结果图整体区域预测分布正确,总体精度评价指标达到84.4%,具有智能化程度高、客观性强的特点,能够为地质工作者提供辅助决策依据. 此外,还采用迁移学习策略对样本数量进行扩容,解决了CNN模型小样本问题.

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	李雨柯
	赵院冬
	陈伟涛
	李显巨
	韩科胤
	曹会
	温秋园
	王群

关键词 ：深度学习, 智能解译, 遥感地质, 岩体分类模型, 评价预测, 黑龙江省

Abstract：A rock mass classification model based on multisource and multimodal data and multistream convolutional neural network(CNN) is proposed for the selected test areas in Northeast China with comparison of various other models. The model includes two submodels: the rock mass extraction model based on large-scale neighborhood and deep convolutional neural network(DCNN) and multistream CNN fusion model based on band combination and multimodal data. The application shows that the whole regional predicted distribution in the forecast result map is correct, with the overall accuracy evaluation index reaching 84.4%, characterized by high intelligence and strong objectivity, which can provide auxiliary decision-making basis for geologists. Besides, transfer learning strategy is used to expand the number of samples to solve the small sample problem of CNN model.

Key words： deep learning intelligent interpretation remote sensing geology rock mass classification model evaluation and prediction Heilongjiang Province

收稿日期: 2021-07-06

PACS:

P627

基金资助:国际地学对比计划项目"全球黑土地关键带演化机制及可持续利用"(IGCP665);中国地质调查局地质调查项目"兴凯湖平原及松辽平原西部土地质量地球化学调查"(DD20190520).

作者简介: 李雨柯(1986-),男,硕士,工程师,从事遥感地质方向研究工作,通信地址黑龙江省牡丹江市东安区卧龙街45号,E-mail//34303218@qq.com

引用本文:

李雨柯, 赵院冬, 陈伟涛, 李显巨, 韩科胤, 曹会, 温秋园, 王群. 基于深度学习的岩体遥感智能解译模型研究——以苇河镇、亚布力镇、绥阳镇地区为例[J]. 地质与资源, 2022, 31(6): 790-797.
LI Yu-ke, ZHAO Yuan-dong, CHEN Wei-tao, LI Xian-ju, HAN Ke-yin, CAO Hui, WEN Qiu-yuan, WANG Qun. REMOTE SENSING INTELLIGENT INTERPRETATION MODEL FOR ROCK MASS BASED ON DEEP LEARNING: A Case Study of Weihe Town, Yabuli Town and Suiyang Town in Heilongjiang Province. GEOLOGY AND RESOURCES, 2022, 31(6): 790-797.

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http://manu25.magtech.com.cn/Jweb_dzyzy/CN/10.13686/j.cnki.dzyzy.2022.06.011 或 http://manu25.magtech.com.cn/Jweb_dzyzy/CN/Y2022/V31/I6/790

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