摘要
在东北植被覆盖区选取试验区,研究不同类型雷达数据对岩体的解译能力和可解译程度,结果显示,高分辨率全极化雷达数据经过极化分解后,对岩体类型的解译效果更佳,但是对其他表征特征属性可解译程度有限.以此为基础,提出一种基于雷达数据和LSTM网络模型的岩体类型识别模型,经评价,预测结果图整体区域分布正确,总体精度评价指标达到83.0%,能够较好地满足地质工作者快速、精准获取岩体信息的需求.
The interpretation ability and interpretable degree of different types of radar data to rock mass are studied in a test site of vegetation-covered area in Northeast China.The results show that the high-resolution full-polarization radar data has better interpretation of rock mass types after polarization decomposition,but the interpretable degree of other characteristic attributes is limited.On this basis,the paper proposes a rock mass identification model based on radar data and long short term memory(LSTM)network model.The whole region distribution of prediction result map is correct through evaluation,with the overall accuracy evaluation index reaching 83.0%,which can well help geologists obtain rock mass information quickly and accurately.
作者
李雨柯
赵院冬
陈伟涛
董玉森
温秋园
曹会
韩科胤
王群
LI Yu-ke;ZHAO Yuan-dong;CHEN Wei-tao;DONG Yu-sen;WEN Qiu-yuan;CAO Hui;HAN Ke-yin;WANG Qun(Mudanjiang Natural Resources Comprehensive Survey Center,CGS,Mudanjiang 157000,Helongjiang Province,China;China University of Geosciences,Wuhan 430074,China)
出处
《地质与资源》
CAS
2023年第4期480-486,504,共8页
Geology and Resources
基金
中国地质调查局项目“东北边境珲春-虎头地区综合地质遥感调查”(DD20208015)
“热点地区应用区地质环境分析评估”(DD20230593).
关键词
合成孔径雷达
极化分解
遥感地质
智能解译
synthetic aperture radar
polarization decomposition
remote sensing geology
intelligent interpretation
