计算机与数字工程2019，Vol.47Issue(3)：638-642,5.DOI:10.3969/j.issn.1672-9722.2019.03.031
无人机高分辨率遥感影像分类方法研究
Research on High Resolution Remote Sensing Image Classification Method for UAV
摘要
Abstract
The development of remote sensing technology for drones can provide extremely rich spatial information for the in?formation field in real time. How to process and apply high-resolution images obtained by drones is a hot research topic. The ob?ject-oriented classification method and the traditional pixel-based classification method can significantly improve the classification accuracy and signal-to-noise ratio. In this paper,high-resolution UAV images are used to extract information from object-oriented and pixel-based images respectively,and their classification effects are evaluated by confusion matrix and KAPPA coefficients. It is proved that in the high-resolution remote sensing image classification,the object-oriented remote sensing image classification meth?od can obtain better classification effect than the traditional remote sensing image classification method. However,to establish a more complete accuracy evaluation system and how to select appropriate classification methods at different scales and regions,but also more research and verification work need to be carried out.关键词
高分辨遥感图像/传统分类法/面向对象分类/图像分割分类精度Key words
high resolution remote sensing image/traditional classification/object-oriented classification/image segmenta⁃tion and classification accuracy分类
信息技术与安全科学引用本文复制引用
刘启兴,景海涛,董国涛..无人机高分辨率遥感影像分类方法研究[J].计算机与数字工程,2019,47(3):638-642,5.基金项目
国家重点研发计划项目"黄河流域水沙变化机理与趋势预测"(编号:2016YFC0402400) （编号:2016YFC0402400）
国家自然科学基金项目"黄土丘陵沟壑区植被-水文过程的尺度效应研究"(编号:51779099) （编号:51779099）
国家自然科学基金项目"黄河中游典型流域枣林植被变化对水文过程的作用机制研究"(编号:41301496) （编号:41301496）
中央级公益性科研院所基本科研业务费专项资金项目"黄土丘陵沟壑区植被结构变化及其对径流影响研究"(编号:HKY-JBYW-2017-10)资助. （编号:HKY-JBYW-2017-10）
