다음은 하나의 파일에 대한 영감입니다. 파일 이름 목록을 작성하고 반복하여 다수의 파일에 대해 동일한 작업을 수행 할 수 있습니다.
; define the image to be opened (could be in a loop), I believe it can also be a tif, img...
img_file='path/to/image.hdr'
envi_open_file,img_file,r_fid=fid
if (fid eq -1) then begin
print, 'Error when opening file ',img_file
return
endif
; let's define some coordinates
XMap=[-70.0580916, -70.5006694]
YMap=[-32.6030694, -32.9797194]
; now convert coordinates into pixel position:
; the transformation function uses the image geographic information:
ENVI_CONVERT_FILE_COORDINATES, FID, XF, YF, XMap, YMap
; we must consider integer. Think twice here, maybe you need to floor() or ceil()
XF=ROUND(XF)
YF=ROUND(YF)
; read the image
envi_file_query, fid, DIMS=DIMS, NB=NB, NL=NL, NS=NS
pos = lindgen(nb)
; and store it in an array
image=fltarr(NS, NL, NB)
; read each band sequentially
FOR i=0, NB-1 DO BEGIN
image[*,*,i]= envi_get_data(fid=fid, dims=dims, pos=pos[i])
endfor
; simply crop the data with array-indexing function
imagen= image[XF[0]:XF[1],YF[0]:YF[1]]
nl2=YF[1]-YF[0]
ns2=XF[1]-XF[0]
; read mapinfo to save it in the final file
map_info=envi_get_map_info(fid=fid)
envi_write_envi_file, imagen, data_type=4, $
descrip = 'cropped', $
map_info = map_info, $
nl=nl2, ns=ns2, nb=nb, r_fid=r_fid, $
OUT_NAME = 'path/to/cropped.hdr'