CAJ | 학술논문

本文在ENVI遥感图像分析软件环境下，利用最小距离法对遥感图像进行了有监督分类。仿真实验通过对遥感图像中地物目标的光谱信息和空间信息进行分析及特征提取，利用判别函数计算到中心的距离，解读遥感图像，并对分类结果进行定量评估。实验结果表明用最小距离法来分析遥感图像可以获得较高精确度。
본문재ENVI요감도상분석연건배경하，이용최소거리법대요감도상진행료유감독분류。방진실험통과대요감도상중지물목표적광보신식화공간신식진행분석급특정제취，이용판별함수계산도중심적거리，해독요감도상，병대분류결과진행정량평고。실험결과표명용최소거리법래분석요감도상가이획득교고정학도。
In this paper, the supervised classification technology based on minimum distance method was realized to classify the remote sensing image with the support of ENVI development environment. Feature analysis and extraction of the spectrum and spatial infor- mation were completed in the simulation experiment. The discriminant function was adopted to calculate the distance of center in or- der to explain the remote sensing image. The higher accuracy was proved by the quantitative evaluation of the classification result. The experiment results show the validity of the method.