摘要
针对高分一号遥感数据铁尾矿信息提取精度较低的问题,文中分析了铁尾矿高分遥感图像光谱、纹理及空间特征,构建了铁尾矿遥感光谱特征强化的数学模型RTI和IOT,建立了面向对象的铁尾矿高分遥感信息提取的技术流程。并以唐山典型矿山地区为研究对象,进行了铁尾矿遥感信息的提取实验和精度分析,验证了RTI和IOT强化数学模型在面向对象决策分类规则中的有效性,为铁尾矿资源的目标提取和自动监测提供了一种新的处理方法。
Aiming at the low accuracy of information extraction of iron tailings from GF-1 remote sensing image.This paper introduces the spectral feature,texture characteristics and spatial pattern of iron tailings information of GF-1 remote sensing image,which constructs RTI and IOT spectral enhancement model of iron tailings information and establish a technical process of the object-oriented.Selecting Tangshan mining area as the study area,the information extraction of the iron tailings of GF-1 remote sensing image is carried out and the results are analyzed,verified effectiveness of the RTI and IOT spectral enhancement model in object-oriented classification by decision-making.It provides a new method for the information extraction and automatic monitoring of the iron tailings resources.
作者
曹兰杰
吴兵
汪金花
张博
CAO Lanjie;WU Bing;WANG Jinhua;ZHANG Bo(North China University of Science and Technology,Tangshan 063009,China)
出处
《测绘与空间地理信息》
2019年第4期98-101,共4页
Geomatics & Spatial Information Technology
关键词
遥感
铁尾矿
信息提取
高分一号
面向对象
remote sensing
iron tailings
information extraction
GF-1
object-oriented
