The　Visual　C++　platform　was　chosen　for　experiment　teaching　in　course　of　Remote　Sensing　(RS)　Digital　Image　Processing.　Six　specific　tasks　were　designed,　including　reading　RS　image　files　in　binary　format,　the　conversion　of　digital　number　values　to　reflectance,　image　smoothing/sharpening　in　the　spatial　domain,　image　smoothing/sharpening　in　the　frequency　domain,　principal　component　analysis-based　RS　image　fusion,　and　per-pixel　RS　image　classification.　All　of　experiments　were　strongly　related　to　lecture　contents.　In　order　to　make　sure　that　mostly　students　could　finish　experiments　independently　within　a　specified　time　period,　an　experimental　guide　was　given　to　follow　algorithm　procedures　and　pseudo　codes　to　write　programs.　The　results　of　teaching　practice　indicate　that　experiments　with　Visual　C++　programming　can　help　students　more　easily　understand　theoretical　knowledge　points.　©　Springer　Science+Business　Media　New　York　2014.