Research Article

SAR Image Matching Based on Local Feature Detection and Description Using Convolutional Neural Network

Table 3

Performance results of second dataset.

Study caseMetricBeforeCCSIFTORBProposed[12]

SubsetShift−20, 21−2, 70, 00, 00, 00, 0
MSE95.9996.1331.4848.5883.0385.34
PSNR14.15414.15116.57515.63314.44514.409
CC−0.0120.1220.7210.7080.4330.398

TranslationShift5, −230, −200, 00, 00, 00, 0
MSE95.3595.5558.4263.2782.5286.45
PSNR14.16814.16415.23315.05914.48314.381
CC−0.023−0.0360.7160.7040.5340.319
ScalingShift0, 00, 00, 00, 00, 00, 0
MSE3.6058.1345.1669.1260.8870.81
PSNR21.28215.24315.79114.86715.14314.814
CC−0.0230.9630.9810.8410.9390.881

RotationShift8, −21−24, 00, 00, 00, 00, 0
MSE92.6890.5163.9566.3491.3687.83
PSNR14.23014.28115.03614.95714.26114.347
CC−0.101−0.0080.9490.926−0.1410.171