VC/Matlab mixed programming based on COM and its application in SAR image classification

CHEN Hua-jie， SHI Jun-feng， LIN Yue-song
（Key Laboratory of Fundamental Science for National Defense-Communication Information
Transmission and Fusion Technology， Hangzhou Dianzi University， Hangzhou 310018， China）

Abstract：In order to test synthetic aperture radar（SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model（COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.
Key words： synthetic aperture radar（SAR）； mixed programming； component object model（COM）