ABSTRACT　　The　invention　involves　a　new　automatic　optimization　algorithm　for　the　adjustment　factor　　(f(A)　)　of　the　shadow-eliminated　vegetation　index　(SEVI)　based　on　slide　window　method.　It　　includes　the　following　steps　:　　window　selection,　　vegetation　indices　calculation,　　correlation　　coefficient　calculation,　　single　window　optimization,　　slide　window　and　global　(panoramic)　　optimization.　The　invention　does　not　need　assistance　of　the　digital　elevation　model　(DEM)　　data,　　classification　of　remote　sensing　image　and　artificial　designated　calculation　sample　area,　　　which　improves　the　automation　level　of　SEVI　calculation　and　avoids　the　instability　from　　artificial　selection.　It　has　important　scientific　significance　and　economic　value　for　remote　　sensing　to　retrieve　the　accurate　vegetation　information　in　rugged　mountainous　areas　with　　elimination　the　interference　of　the　self-shadow　and　cast-shadow.　--/　　window　size　determination＜　vegetation　conrelation　　indices　coefficient　　calculation＜-　calculation　　single　window　optimization　solution　　window　sliding＜　global　(panoramic)　optimun　solution　　Figure　1　The　schematic　diagram　of　the　technical　process　of　the　invention