摘要
由于传统的土地资源利用变化检测方法精准性较差,造成土地资源的浪费,提出基于地理信息系统的城市土地资源检测方法。基于地理信息系统获取城市土地空间资源遥感图像,分割遥感图像,提取遥感图像纹理特征,基于特征自适应融合法检测土地空间资源利用变化。实验结果表明,文章所提方法的漏检率9.52%、错检率4.76%,检测时间仅需2.5s,验证该方法准确率较高。
Due to the poor accuracy of traditional methods for detecting changes in land resource utilization,which leads to waste of land resources,a geographic information system based urban land resource detection method is proposed.Based on geographic information systems,this paper obtains remote sensing images of urban land spatial resources,divides remote sensing images,extracts texture features of remote sensing images,and detects changes in land spatial resource utilization based on feature adaptive fusion method.The experimental results show that the proposed method has a missed detection rate of 9.52%,an error detection rate of 4.76%,and the detection time is only 2.5 seconds,which verifies the high accuracy of the method.
作者
汪文娟
WANG Wen-juan(Jiujiang Surveying and Mapping Geographic Information Co.,Ltd.)
出处
《智能建筑与智慧城市》
2023年第7期9-11,共3页
Intelligent Building & Smart City
