CAJ | 학술논문

由于卫星上相机距离拍摄景物较远,所以遥感图像分辨率一般较低.为了获得较高分辨率的图像.提出将图像类推技术(IA)与立方卷积插值法相结合的方法;并在学习样本集合建立过程中引入一种新的思路,直接对高分辨率图像的高频细节信息进行学习.实验结果表明,该方法不仅提高了放大图像的清晰程度,而且较一般的图像类推算法,能产生更为合理的细节以增强图像,使放大后的遥感图像更为逼真.
유우위성상상궤거리박섭경물교원,소이요감도상분변솔일반교저.위료획득교고분변솔적도상.제출장도상유추기술(IA)여립방권적삽치법상결합적방법;병재학습양본집합건립과정중인입일충신적사로,직접대고분변솔도상적고빈세절신식진행학습.실험결과표명,해방법불부제고료방대도상적청석정도,이차교일반적도상유추산법,능산생경위합리적세절이증강도상,사방대후적요감도상경위핍진.
Due to the long distance between satellite camera and the site,the resolution of remote sensing image is low. In order to get high resolution image,Image Analogies (IA) technology and cubic convolution interpolation algorithm were combined,and a new idea that studied the high-frequency details of the high resolution image directly in the learning set was proposed. The experimental results show that this method can not only amplify images much more sharply,but also generate more reasonable details to enhance the image than general image analogies method. Thus,the amplified remote sensing image becomes more vivid.