Research Article

Automatic Fusion of Hyperspectral Images and Laser Scans Using Feature Points

Table 5

The corresponding coordinates of check points.

Hyperspectral ImageLaser ScanHyperspectral Image ()Hyperspectral Image ()

1(105, 175)(36.524, −3.241, 5.219)(101.510, 163.671)(104.060, 172.998)
2(96, 752)(35.819, −10.884, 5.804)(90.316, 707.821)( 99.710, 754.157)
3(369, 772)(35.805, −11.016, 1.834)(368.462, 721.168)(396.928, 73.661)
4(425, 130)(36.482, −2.656, 1.663)(396.083, 120.457)(423.808, 28.865)
5(365, 317)(36.325, −4.961, 2.052)(360.131, 295.554)(386.726, 316.734)
6(120, 313)(36.325, −4.900, 5.351)(112.758, 295.324)(121.541,314.931)
7(430, 73)(36.698, −2.672, 1.609)(389.679, 81.230)(426.318,72.521)
8(385, 316)(36.378, −4.905, 2.058)(355.868, 291.805)(383.162, 314.289)
9(670, 755)(36.133, −9.203, −0.839)(593.862, 661.657)(666.248, 752.267)
10(609, 126)(36.158, −1.873, −1.577)(597.238, 112.234)(611.544, 129.725)