CAJ | 학술논문

遥感影像在分割、分类处理过程中,不可避免地会出现不合理的小面元,需要进行后续处理剔除.针对当前小面元剔除方法适应性的不足,本文引入结构上下文的处理方法,对复杂小面元进行识别、整理,并基于VC++平台编写了相应的程序,对出现的不合理的小面元进行了剔除处理.实验结果表明,该方法达到了预期目的,取得了较好的效果.
요감영상재분할、분류처리과정중,불가피면지회출현불합리적소면원,수요진행후속처리척제.침대당전소면원척제방법괄응성적불족,본문인입결구상하문적처리방법,대복잡소면원진행식별、정리,병기우VC++평태편사료상응적정서,대출현적불합리적소면원진행료척제처리.실험결과표명,해방법체도료예기목적,취득료교호적효과.
As small-area units may come forth inevitably during the classification and segmentation of remote sensing images,the post-processing is necessary so as to neaten the classified or segmented images.In this paper,the methodology of using structure coatext to recognize small-area units is introduced elaborately.On the basis of consulting the structure context of image area units,small complicated and unreasonable area units can be recognized and removed by means of the VC++program designed by the authors.The experiment results show that the way of removing small-area units on the basis of structure context can not only recognize and remove disorder area units but acquire a clean and reasonable area image.Also,this method provides the possibility for subsequent process.