ENVI
description = {
  Classification Image created from input ROIs [Tue Jan 09 19:31:53 2018]}
samples = 3750
lines   = 1580
bands   = 1
header offset = 0
file type = ENVI Classification
data type = 1
interleave = bsq
sensor type = Unknown
classes = 21
class lookup = {
   0,   0,   0,   0, 139,   0,   0,   0, 255, 255, 255,   0,   0, 255, 255,
 255,   0, 255, 139, 139,   0,   0, 139, 139,   0, 255,   0,   0,   0, 139,
 255, 127,  80, 127, 255,   0, 218, 112, 214,  46, 139,  87,   0,   0, 139,
 255, 165,   0, 127, 255, 212, 218, 112, 214, 255,   0,   0, 205,   0,   0,
 139,   0,   0}
class names = {
 Unclassified, 复叶槭, 柳树, 榆树, 水稻, 国槐, 白蜡, 栾树, 水域, 裸地, 
 水稻茬, 刺槐, 玉米, 梨树, 大豆, 杨树, 菜地, 稀疏林, 草地, 桃树, 房屋}
byte order = 0
x start = 33
y start = 37
map info = {UTM, 1.000, 1.000, 547201.100, 4311890.500, 5.0000000000e-001, 5.0000000000e-001, 49, North, WGS-84, units=Meters}
coordinate system string = {PROJCS["UTM_Zone_49N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",111.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]}
wavelength units = Unknown
band names = {
 Class Image from ROIs}